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MTech: Electrical Engineering (Smart Grid) (Coursework)
(To be replaced by Master of Engineering in Smart Grid (MEng)) at CPUT Module
Overview
Credit System Different credit systems are in use at the partner institutions. Hence, to describe the credits of each
module, a Unified Handbook Credit System (UHCS) based on the European Credit Transfer System
(ECTS) will be used in this handbook. Table 1 shows the UHCS used in the handbook in comparison to
the credit systems at the different institutions.
Table 1 Unified Handbook Credit System
Unified Handbook Credit System (UHCS) CPUT NM-AIST SU UDSM UP ECTS
1 UHCS 2.5 2.5 2.5 2 2.5
25h 10h 10h 10h 12h 10h 25-30h
Distributed Energy Resources
Smart Grid and Distributed Energy Resources Module Number Module Name
SGD690S Smart Grid and Distributed Energy Resources
Module classification Planning and Implementation; Technology and Innovation; Technical Management
Credits 6 UHCS
Language English
Available for Electrical Engineers, Electrical Technicians, Smart Grid technical personnel, Grid planners/developers/operators
Level of progression Basic to Intermediate
Teaching material Resources to be made available on the e-learning platform, in addition to prescribed reading material
Time composition Total time: 80h
Lectures: 45h
Tutorials: 15h
Practicals: 10h
Assignments: 8h
Consultations: 2h
Prerequisite Bachelor of Science; Bachelor of Engineering; Bachelor of Engineering Technology (Honors); Post Graduate Diploma in a relevant cognitive field of Electrical Engineering, and Information Technology
Aim of the module The module introduces the student to the concept of the Smart grid, outlining the main elements and characteristics of the Smart grid, and contextualizing the smart grid in terms of its relation to electric power generation, transmission, distribution and consumption. It also covers the theory on various aspects of Distributed Energy Resource (DER) technologies, before acquainting the student with state-of-the-art architectures and control paradigms for the effective grid integration of DERs, so as to enhance their ability to contribute to grid security
Learning outcome Fully understand and be able to clearly describe/explain what a smart grid is (and is not), analyse the impact that the paradigm shift from the traditional electric power system to the smart grid has had on the planning, design and operation of the electric grid
Acquire advanced knowledge of Distributed Energy Resource (DER) technologies, their role in the smart grid, and the technical, socio-economic, environmental and regulatory aspects related to their growth and development
Be competent in applying the acquired knowledge of smart grids and DERs to the systematic and well-thought-through devising of solutions to practical problems in the context of smart grids
Be competent in designing Distributed Energy Resource Management Systems for application in smart grids, taking cognizance of relevant technical documentation and scientific literature (e.g. requirements specifications, performance standards documentation, etc.), and being able to use specialized engineering tools in the analysis, design, and development process
Ability to work as part of a (possibly multi-disciplinary) team, and competency in carrying out independent industry-relevant research work, taking ethical, socio-economical, environmental and other important considerations into account
Ability to be in charge of personal and professional growth, with a keen interest in developing the relevant skills applicable to the field of power electronics, over and above those acquired in the course of the program
Content The module has an introductory part to the smart grid, and a detailed coverage of the theory of DERs and their integration into the electric power system. The topics covered can be outlined as:
Elements of a smart electric power system
Smart electric power from generation to consumption
Introduction to Decentralized power generation
Renewable energy Sources
Energy storage and other DER technologies
Grid integration of DERs
Teaching methods Teaching will be conducted through formal lectures, tutorials, industrial case studies, assignments and practical sessions.
Teacher-centred Lectures: 45h
Tutorials: 15h
Practicals: 10h
Assignments: 8h
Consultation: 2h
Literature / Prescribed textbook
Course notes prepared by lecturer, plus:
1. Ekanayake, J., Kithsiri, L., Wu, J., Yokohama, A. & Jenkins
N., “Smart Grid: Technology and Applications”, John Wiley &
sons, Ltd., West Sussex, UK, 2012.
2. Nouredine, H. & Sabonnadière, J-C. (Ed.), “SmartGrids,”
ISTE Ltd., London, UK, 2012.
3. Jenkins, N., Ekanayake, J.B. & Strbac, G., “Distributed
Generation”, The IET, London, 2010.
4. Ngo, C., “Energy: Resources, technologies and the
environment”, The IET, London, 2010.
5. Teodorescu, R., Liserre, M. & Rodríguez, P. 2011. Grid Coverters For Photovoltaic and Wind Power Systems, 1st Ed., John Wiley & Sons Ltd., West Sussex, UK.
Infrastructure requirements and availability
Lecture hall, well-equipped smart grid laboratory, etc.,
Lecture venues are equipped with presentation media such as
projector and whiteboard
Computer rooms are equipped with the necessary simulation,
configuration and application development software packages.
The laboratories are equipped with the necessary protective
relaying equipment and, test injection devices.
Embedded systems for signal processing
Embedded Systems for Signal Processing Module Number Module Name
ESS690S Embedded Systems for Signal Processing
Module classification Technology and Innovation
Credits 6 UHCS
Language English
Available for Disciplines of Electrical Engineering, Smart Grid, Computer Systems, and Information Technology
Level of progression Intermediate
Teaching material Resources will be made available in the e-learning platform (Black Board)
Time composition Total time: 80h Lectures: 45h Tutorials: 15h Practicals: 10h Assignments: 8h Consultations: 2h
Prerequisite Bachelor of Science; Bachelor of Engineering; Bachelor of Engineering Technology (Honors); Post Graduate Diploma in a relevant cognitive field of Electrical Engineering and Information Technology
Aim of the module The aim of this subject is to teach and impart relevant and critical knowledge about the underlying concepts of power system signal characteristics during steady state and dynamic conditions. This includes providing participants with the requisite knowledge to utilize the necessary tools (software and hardware) that will allow
for the processing, conditioning and analyses of these signals to assist in the development of algorithms, programs and techniques for power system monitoring, protection and control
Learning outcome Explain and understand the fundamental causes of power signal perturbations through analyses of power system signals
Identify components (Analogue and Digital) within the signal processing chain. .
Understand the importance of synchronised sampling of power system signals
Understand the basic architecture of different types of analogue-to-digital converters.
Identify sources of errors in the analogue-to-digital conversion process
Understand the role of filters in the signal processing chain
Design and simulate analogue and digital filters according to a required specification
Analyse and examine the frequency response of designed filters.
Compare the responses of different types of filters ie. FIR and IIR.
Develop algorithms and software programs to demonstrate the performance of discrete Fourier transforms for signal analysis
Content The module content introduces digital signal processing concepts as applied to power systems and Smart Grids. The objective is to provide basic knowledge of how digital signal processing can be utilised to process and analyse power system signals within the context of the Smart Grid. Fundamental digital signal processing theory, techniques and methods will be introduced as indicated below.
Introduction to causes of power system signal perturbations
Digital Signal processing terminology
Sampling Theory
Analogue-to-Digital Conversion (ADC)
Digital-to-Analogue Conversion (DAC)
Digital Filters
Digital Transforms
Common algorithms for implementation of techniques to assist with processing of power system signals in applications such as synchrophasor technology for example.
Teaching methods Teaching will be conducted as a series of lectures, practical sessions, tutorials and assignments. Individual and group participation will be inclusive of the work and deliverables required by the student participants. Software and hardware skills learnt will allow for efficient and effective solutions to real-world problems
Lectures A formal class where theoretical material will be presented with the use of different presentation media.
Practicals
This is inclusive of software simulations using different numerical computing software packages such as Matlab as well as the utilization of embedded hardware modules
Tutorials Tutorial sessions will be conducted to reinforce pertinent concepts related to the topics within this module.
Assignments To enable students to engage in and to analyze simple case studies individual and group assignments will be given to participants.
Teacher-centred Lectures: 45h Tutorials: 15h Practicals: 10h Assignments: 8h Consultation: 2h
Literature / Prescribed textbook
Prescribed book 1. “Power System Signal Processing for Smart Grids”, Wiley-
Interscience a John Wiley &Sons Publication, 2014.Paulo Fernando Ribeiro, Carlos Augusto Duque, Paulo Márcio da Silveira, Augusto Santiago Cerqueira
Recommended books 1. “Digital Signal Processing in Power System Protection and
Control”,Springer-Verlag London Limited 2011. Waldemar Rebizant Janusz Szafran Andrzej Wiszniewski
2. “Synchronised Phasor Measurements and Their Applications” A.G. Phadke and J.S. Thorp
Infrastructure requirements and availability
Lecture Venues equipped with the following presentation media such as projector and whiteboards
Computer rooms equipped with necessary simulation software packages such as Matlab
Laboratories equipped with the following o embedded development kits o measuring equipment such as spectrum analyzers
and oscilloscopes
Energy Economics
Electricity Market in Deregulated Power Grids Module Number Module Name
EMD690S Electricity Market in Deregulated Power Grids
Module classification Planning and Implementation; Technical Management; Operation, Maintenance, QA, Risk and Safety
Credits 6 UHCS
Language English
Available for Disciplines of Electrical Engineering, Smart Grid, Computer Systems, and Information Technology
Level of progression Intermediate
Teaching material Resources will be made available in the e-learning platform (Black Board)
Time composition Total time: 80h
Lectures: 45h
Tutorials: 15h
Assignments: 8h
Practicals: 10h
Consultations: 2h
Prerequisite Bachelor of Science; Bachelor of Engineering; Bachelor of Engineering Technology (Honors); Post Graduate Diploma in a relevant cognitive field of Electrical Engineering and Information Technology
Aim of the module Study and understand the electricity regulation, deregulation, competitive electricity markets and economics of the Smart grid systems.
Learning outcome Analyse electricity restructuring and deregulation.
Compare the retail competition with customer choice.
Analyse the wholesale Electricity market.
Compare competitive versus non-competitive electricity markets.
Examine how the electricity financial market determines risk and return.
Examine the regulatory policy variables such as regulated tariffs, access rules and quality of service requirements.
Construct the Regulatory Process which maximizes social welfare through minimizing social costs and maximizing social benefits.
Analyse the wholesale power markets where all generators compete to sell to all distributors, or directly to customers and retailers.
Analyse physical bilateral trades, where buyers and sellers individually contract with each other for power quantities at negotiated prices with accepted terms, and conditions.
Analyse the distribution company regulation
Content The module introduces the definitions of the Electricity market in the conditions of regulation and deregulation of power system and the Smart grid. The customer participation in the electricity marked is discussed too. The main topics to be presented are:
Electricity Regulation and Deregulation Electricity Economics. Definitions. Market Power and
Monopoly
The Cost of Capital definition
Alternative Methods of Project Evaluation
Electricity Economic Regulation Rate-of-Return Regulation
Competitive Electricity Markets Customer Choice and Distribution Regulation
Teaching methods The Teaching will be through formal lecture sessions, practicals, use case studies, tutorials, and presentations.
The use case studies of South Africa and U.S electricity markets will be considered to explore the local and international electricity market structure.
Practical session which includes the MATLAB simulation to analyse the Incentive regulation of the electricity market.
Practical session which includes the MATLAB simulation to analyse the electricity market project evaluation.
Tutorial sessions will be arranged which includes the examples of Net Present Value (NPV) method, project evaluation methods such as payback, average return on book value and Internal rate of return.
Tutorial sessions will be arranged which includes the examples of different tariff regulation methods such as marginal cost pricing, multipart tariffs, and peak-load pricing.
The teaching materials and communication with the students will be made available via the Black Board teaching tool.
Teacher-centred Lectures: 45h
Tutorials: 15h
Assignments: 8h
Practicals: 10h
Consultations: 2h
Literature / Prescribed textbook
Prescribed books 2. Geoffrey Rothwell and Tomasg Mez “Electricity economics
regulation and deregulation”, Volume 12 of IEEE Press power systems engineering series ,Wiley- Interscience a John Wiley &Sons Publication, 2003.
Recommended readings 1. Kankar Bhattacharya, Math Bollen, and Jaap E. Daalder,
“Operation of Restructured Power Systems” Springer Science & Business Media, 2012.Deivakkannu, G., Data acquisition and data transfer methods for solving real-time power system optimisation problems, MTech dissertation, Cape Peninsula University of Technology, Cape Town, South Africa, 2015.
Infrastructure requirements and availability
Classrooms, Black board tool, Projector, Computer laboratory with MATLAB software installed.
Lecture venues are equipped with presentation media such as projector and whiteboard
Computer rooms are equipped with the necessary simulation, configuration and application development software packages.
The laboratories are equipped with the necessary protective relaying equipment and, test injection devices.
Energy Management
Control Design and Optimisation in Smart Grids Module Number Module Name
CDO690S Control Design and Optimisation in Smart Grids
Module classification Technology and Innovation; ICT and Data Security; Operation, Maintenance, QA, Risk and Safety
Credits 6 UHCS
Language English
Available for Disciplines of Electrical Engineering, Smart Grid, Computer Systems, and Information Technology
Level of progression Intermediate
Teaching material Resources will be made available in the e-learning platform (Black Board)
Time composition Total time: 80h
Lectures: 45h Tutorials: 15h Practicals: 10h Assignments: 8h
Consultations: 2h
Prerequisite Bachelor of Science; Bachelor of Engineering; Bachelor of Engineering Technology (Honors); Post Graduate Diploma in a relevant cognitive field of Electrical Engineering, and Information Technology
Aim of the module Design linear and non-linear controllers and develop classical and computational intelligence optimization methods, algorithms and software programs to solve the complex smart grid application problems.
Learning outcome Define and identify the characteristics of linear and nonlinear systems
Demonstrate the phase plane diagram for second order dynamic linear and nonlinear systems
Apply the Lyapunov method to evaluate stability of various dynamic systems
Describe and examine the positive and negative characteristics of the stabilization via linearization method
Determine and calculate the Lie derivatives of an affine nonlinear model of a nonlinear system
Determine and calculate the state transformed vector of an affine nonlinear system
Design the input output linearizing and stabilising controllers
Describe and analyse the definitions and conditions for the input-state linearization
Design the input-state linearizing controller
Examine the behaviour of the closed loop systems by building their models in Matlab/Simulink environment and simulations
Define the optimum of a function and of a functional
Apply the variational approach to determine the extrema of functions with conditions
Formulate and solve an optimal control problem based on a functional with conditions using Lagrange’s formalism of solution for a case of an industrial process
Design a Matlab/Simulink software for calculation and simulation of the optimal control and state trajectories
Formulate the problem of variational calculus for discrete time systems
Formulate the problem of optimal quadratic control for discrete time systems
Design a discrete time linear regulator for a given industrial process and simulate the closed loop system
Define and list the classical optimisation methods.
Solve the linear and non-linear optimization problems using the classical method.
Develop the classical optimization method for the smart grid applications.
Apply the developed classical optimisation method to solve the linear and non-linear control system problem.
Define and list the computational intelligence-based optimisation methods.
Study and understand the computational intelligence optimization methods.
Solve the linear and non-linear optimization problems using the computational intelligence methods.
Apply the classical and computational intelligence-based optimization methods to solve the smart grid applications such as economic dispatch problem, voltage and transient stability problems, load shedding, adaptive volt-var optimization problem and optimal charging control for plug-in electric vehicles.
Analyse the solutions of the optimization methods and provide recommendation.
Content The content considers studying, understanding, and application of the methods for, first: the closed loop control design of linear and nonlinear systems using state space, feedback linearization, and optimal control theories; and second: the classical and artificial intelligence theories for optimisation of linear and nonlinear systems. Applications to various cases of control and optimisation in the conditions of Smart grid are considered. The main topics to be studied are:
Definitions, models, and behaviour of nonlinear systems. Examples
Second order nonlinear system methods for analysis
Lyapunov stability. Conditions for stability
Nonlinear feedback control systems definitions and types
Principles and mathematical tools of feedback linearization
Design of Input-output linearizing controllers
Design of Input-state linearizing controllers
Introduction to Optimization and Optimal control design
Calculus of Variations and Optimal control
Linear quadratic optimal control system design
Discrete time optimal control system design
Classical Optimization methods theory
Computational Intelligence methods theory
Development of optimization methods for Smart grid applications
Teaching methods The Teaching will be through formal lecture sessions, practicals, presentations.
The control system principle and design will be taught using the MATLAB Simulink software tool.
The parallel and distributed computing principle will be demonstrate using the Cluster of computers with MATLAB Parallel computing software tool.
Simulation and demonstration of the use case studies of control and optimization method for Smart grid applications using the available software (MATLAB) and hardware (RTDS) tools at the CSAEMS laboratory.
The teaching materials and communication with the students will be made available via the black board teaching tool.
Teacher-centred Lectures: 45h
Tutorials: 15h
Practicals: 10h Assignments: 8h
Consultation: 2h
Literature / Prescribed textbook
Prescribed books 1. H. K. Khalil, Nonlinear Systems, 3rd Edition. Prentice-Hall,
2002 2. J. Slotine and W. Li, Applied nonlinear control, Prentice Hall,
Englewood Cliffs, New Jersey, 1991, ISBN: 0-13-040890-5 3. Desineni Naidu, Optimal Control Systems, CRC Press,
Electrical Engineering Textbook Series, New York, 2003, ISBN: 0-8493-0892-5
4. Jizhong Zhu, Optimization of power system operation, IEEE press, wiley publication, 2nd Edition, 2015, 978-1-118-85415-0.
Recommended readings 5. A.Isidori, Nonlinear Control Systems, 3rd edition, Springer-
Verlag, Berlin, 1995, ISBN: 3-540-19916-0 6. G. Conte, C. Moog and A. Perdon, Algebraic Methods for
Nonlinear Control Systems. Theory and Application, 2nd edition, ,Springer-Verlag, London, 2007, ISBN: 978-1-84628-594-3
7. Kirk, Optimal Control Theory: An Introduction, Prentice Hall, Englewood Cliffs, New York, 1970
8. M. Athans and P. Falb, Optimal Control: An Introduction to the Theory and its Application, McGraw-Hill Book Company, New York, 2006
9. B.D.O. Anderson and J.B. Moor, Optimal Control: Linear Quadratic Methods, Prentice-Hall, New Yourk, 1990
10. Aranya Chakrabortty, and Marija D. Ilić, Control and Optimization Methods for Electric Smart Grids, Springer-Verlag New York, 2012, 978-1-4614-1604-3
11. Moein Manbachi, Hassan Farhangi, Ali Palizban, and Siamak ArzanpourSmart grid adaptive volt-VAR optimization: Challenges for sustainable future grids, Sustainable Cities and Society, Volume 28, January 2017, Pages 242–255.
12. Installation Guide - MATLAB® Distributed Computing Server™ 5, Mathworks, USA.
13. Krishnamurthy, S., Development of Decomposition Methods for Solution of a Multiarea Power Dispatch Optimisation Problem, Doctoral dissertation, Cape Peninsula University of Technology, Cape Town, South Africa, 2013.
14. Deivakkannu, G., Data acquisition and data transfer methods for solving real-time power system optimisation problems, MTech dissertation, Cape Peninsula University of Technology, Cape Town, South Africa, 2015.
Infrastructure requirements and availability
Classrooms, Black board tool, Projector, MATLAB toolboxes Simulink and parallel computing, Computer laboratory with MATLAB software installed.
Lecture venues are equipped with presentation media such as
projector and whiteboard
Computer rooms are equipped with the necessary simulation,
configuration and application development software packages.
The laboratories are equipped with the necessary protective
relaying equipment and, test injection devices.
Information and Communication Technologies
IEC61850 Standard and Cyber Security in Grids Module Number Module Name
SCG690S IEC61850 Standard and Cyber Security in Grids
Module classification Planning and Implementation; Technology and Innovation; ICT and Data Security
Credits 6 UHCS
Language English
Available for Disciplines of Electrical Engineering, Smart Grid, Computer Systems, and information Technology
Level of progression Basic
Teaching material Resources will be made available in the e-learning platform (Black Board) – Under Construction
Time composition Total time: 80h Lectures: 45h Tutorials: 15h Practicals: 10h Assignments: 8h Consultations: 2h
Prerequisite Bachelor of Science; Bachelor of Engineering; Bachelor of Engineering Technology (Honors); Post Graduate Diploma in a relevant cognitive field of Electrical Engineering, and Information Technology
Aim of the module This subject gives relevant knowledge on smart grid communication and cyber security. Students will learn about emerging technologies in smart grid communication, cryptography, communication network architecture, network security, cyber security threats and countermeasures, and cyber-physical systems. The course encompasses theoretical and practical aspects.
Learning outcome Demonstrate a theoretical understanding of communication networks, network architectures, topologies, protocols, communication media, and smart grid communications.
Demonstrate understand and capability to analyse the communication networks and network protocols
Understand the IEC61850 standard protocol and capability to apply its modelling concepts within the substation environment.
Differentiate between communication systems based on IEC 61850 and conventional communication protocols, and demonstrate an understanding of the building blocks of the IEC 61850 virtualised model.
Demonstrate an understanding of the networked cyber-world, cyber security framework for smart grids, data privacy, and security in smart grid, cryptography, and communication security requirements.
Differentiate between a cyber-secured and non-secured system
Understand and identify sources of threats and vulnerabilities
Formulate and apply secure frameworks utilizing cryptographic techniques, secure network topologies, security assessments and standards
Identify and understand sources of cyber threats that can impact the operation of the smart grid
Explain and understand the fundamental concepts related to cyber-physical systems
Understand and apply connectivity of the physical domain with the digital domain through sensor technologies
Design, synthesise and apply a simple IoT network for cyber-physical systems
Evaluate the topological structure of an IoT network
Develop software algorithms and programs for the embedded IoT device
Compare different hardware platforms with associated software for optimal implementation of IoT solutions
Content This module introduces fundamental IEC61850 standard with regards to architecture and topologies of communication networks as it applies to the smart grids. The IEC61850 concept of data and communication virtualization and messaging within the substation environment will also be explored. Functional requirements and performance testing of IEC61850 based systems will be introduced to understand interoperability between IEC61850 based systems. With this underlying theory in place the impact and importance of cybersecurity will be introduced with the following content indicated below.
Cyber-security terminologies and fundamentals
Secure and non-secure systems
Security assessments
Data privacy and security
Cryptography
Threats and vulnerabilities
Cyber-physical systems
Cyber security applicable standards
Sensor technologies
Teaching methods The teaching will be through lectures and industrial case studies. Includes individual and group projects and project preparation, and participation in student-led project presentations, and critical reflection. Various methods will enhance the students’ thinking skills, including field visits and industrial case studies allowing application of knowledge to real-life scenarios
Lectures Formal classes will be conducted with the aid of presentation media and lecturing material.
Practicals To practically implement theoretical concepts learnt to concretise concepts of communication protocols and networks, IEC61850 standard, cyber-security, and cyber-physical systems. This may include pre-labs in the form of simulations as well as case studies.
Tutorials
Tutorials sessions will assist with reinforcing the important concepts of the communication protocols and networks, IEC61850 standard, cyber-security and cyber-physical systems
Teacher-centred Lectures: 45h Tutorials: 15h Practicals: 10h Assignments: 8h Consultation: 2h
Literature / Prescribed textbook
Recommended readings 1. Siddhartha Kumar Khaitan, James D. McCalley, Chen
Ching Liu (eds.)-Cyber Physical Systems Approach to Smart Electric Power Grid-Springer-Verlag Berlin Heidelberg (2015).
2. IEC 61850 – Communication networks and systems for power utility automation.
3. IEC 62351, Power systems management and associated information exchange—Data and communication security.
4. IEEE Std 1402™, IEEE Guide for Electric Power Substation Physical and Electronic Security.
5. IEEE Standard Cybersecurity Requirements for Substation Automation, Protection, and Control Systems: IEEE C37.240-2014.
6. IEEE Standard 1686™, IEEE Standard for Intelligent Electronic Devices Cybersecurity Capabilities.
7. NERC, Critical Infrastructure Protection (CIP). Available: at http://www.nerc.com/page.php?cid=2
8. NISTIR 7628 Guidelines for Smart Grid Cyber Security.
Infrastructure requirements and availability
Classrooms, Black board tool, Projector, Labs, etc.,
Lecture venues are equipped with presentation media such as
projector and whiteboard
Computer rooms are equipped with the necessary simulation,
configuration and application development software packages.
The laboratories are equipped with the necessary protective
relaying equipment and, test injection devices.
Power Electronics
Power Electronics and Control in Smart Grids Module Number Module Name
PEC690S Power Electronics and Control in Smart Grids
Module classification Planning and Implementation; Technology and Innovation
Credits 6 UHCS
Language English
Available for Smart Grid designers, Mechanical (Energy) Engineers , Electrical Engineers, Electrical Technicians, Information Technology Engineers
Level of progression Intermediate to advanced
Teaching material Resources to be made available on the e-learning platform, in addition to prescribed reading material
Time composition Total time: 80-140h Lectures: 20-45h
Tutorials: 15-20h Practicals 10-40h Assignments: 8-20h Consultations: 2h Independent studies: 0-40h
Prerequisite Bachelor of Science; Bachelor of Engineering; Bachelor of Engineering Technology (Honors); Post Graduate Diploma in a relevant cognitive field of Electrical Engineering, Electro-Mechanical Engineering, and Information Technology
Aim of the module The module acquaints the student with the key role played by Power Electronics in the Smart grid. It covers the fundamental aspects of power converter circuits and power electronic systems (encompassing characteristics of power semiconductor devices and their use in various converter circuits, the analysis and design of magnetic components and filters for power electronic systems, etc). The principle of operation and control of power electronic systems is also treated in the module, as well as their wide range of applications in the Smart grid, from distributed energy resource integration to power flow control and electric grid efficiency enhancement.
Learning outcome Gain an in-depth understanding of Power Electronic technologies, their key role as an enabling technology for many smart grid applications, and be competent in various aspects related to the analysis and design of power electronic systems for advanced smart grid applications, as follows:
Acquire an in-depth, high-level understanding of Power Electronic technologies, both at component and system levels, and understand their key role as an enabling technology for smart electric power systems
Fully understand and be able to apply (through relevant analysis, experimentation and design) various aspects of Power Electronic technologies
Be competent in applying the acquired knowledge of Power Electronic technologies to the systematic and well-thought-through devising of solutions to practical problems in the context of smart grids
Be competent in designing advanced Power Electronic technologies-based applications for smart grid systems
Capability to take cognizance of relevant technical documentation and scientific literature (e.g. requirements specifications, performance standards documentation, etc.), and being able to use specialized engineering tools in the analysis, design, and development process
Ability to work as part of a (possibly multi-disciplinary) team, and competency in carrying out independent industry-relevant research work, taking ethical, socio-economical, environmental and other important considerations into account
Ability to be in charge of personal and professional growth, with a keen interest in developing the relevant skills applicable to the field of power electronics, over and above those acquired in the course of the program
Content The module provides a detailed theoretical background needed to understand power electronics as an enabling technology for smart grids. Various aspects encompassing power electronic devices and power electronic systems, including the control of power
electronic circuits, are covered in sufficient detail to lay the platform for treating the wide range of applications of power electronics in the smart grid. The intention with this module is to establish an in-depth theoretical understanding of the core aspects of power electronics technologies, and the many tools provided thereby for meeting the needs of smart power systems. The main topics covered in the module can be outlined as:
Power electronic systems overview
Power electronic components
Power electronic converter circuits
Power electronics application to renewable generation grid
integration
Power electronics control
Digital Signal Processing in Power Electronic systems
Smart grid applications of power electronics
Other considerations of power electronic systems
Teaching methods Teaching will be conducted through formal lectures, tutorials,
industrial case studies, assignments and practical sessions.
Teacher-centred Lectures: 20-45h Tutorials: 15-20h Practicals: 10-40h Assignments: 8-20h Consultation: 2h Independent studies: 40h
Literature / Prescribed textbook
Course notes prepared by lecturer, plus:
6. Mohan, N., Undeland, T.M. & Robins, W.P., “Power Electronics: Converters, Applications and Design”, 3rd Ed, John Wiley & Sons, Inc., New Jersey, 2003.
7. Ekanayake, J., Kithsiri, L., Wu, J., Yokohama, A. & Jenkins N., “Smart Grid: Technology and Applications”, John Wiley & sons, Ltd., West Sussex, UK, 2012.
8. Yazdani, A. & Iravani, R. “Voltage-Sourced Converters in Power Systems: Modeling, Control and Applications”, John Wiley & Sons, Inc., New Jersey, 2010
9. J. G. Kassakian, M.F. Schlecht & G.C. Verghese, “Principles of Power Electronics”, Addison Wesley, 1991
10. R. W. Erickson, "Fundamentals of Power Electronics”, Kluwer Academic Publications, 1997.
11. D. W. Hart, “Introduction to Power Electronics”, Prentice Hall International, 1997.
Infrastructure requirements and availability
Lecture hall, equipped laboratory, power electronics simulation software
Lecture venues are equipped with presentation media such as
projector and whiteboard
Computer rooms are equipped with the necessary simulation,
configuration and application development software packages.
The laboratories are equipped with the necessary protective
relaying equipment and, test injection devices
Project
Research Project & Report Module Number Module Name
ESG690C Research Project & Report
Module classification Planning and Implementation; Technology and Innovation; Technical Management; ICT and Data Security; Operation, Maintenance, QA, Risk and Safety; Socio Economic Analysis
Credits 36 UHCS
Language English
Available for Disciplines of Electrical Engineering, Smart Grid, Computer Systems, and Information Technology
Level of progression Intermediate
Teaching material Resources will be made available in the e-learning platform (Black Board)
Time composition Total time: 600h Lectures: 0h Tutorials: 0h Practicals: 270h Assignments: 300h
Consultations: 30h
Prerequisite Bachelor of Science; Bachelor of Engineering; Bachelor of Engineering Technology (Honours); Post Graduate Diploma in a relevant cognitive field of Electrical Engineering, and Information Technology Module: Research Methodology done during the first year
Aim of the module To teach and develop Master’s graduates to be able to deal with complex research and industrial projects both systematically and creatively, to apply the research methods to design innovative solutions to complex problems in Smart grid systems, design and critically appraise analytical writing, to make sound judgments using experimental data and information, at their disposal and communicate their conclusions clearly to specialist and no specialist audiences.
Learning outcome 1.Plan and manage the research project:
Determine the research problem to be investigated and solved
With a high level of personal autonomy and accountability, plan, manage and execute a substantial research project using available resources assigned to the task (e.g. funding, infrastructure, academic, technical and administrative staff and/or assistants, etc.) and within the timeframe allocated to the project.
Demonstrate the ability to apply, integrate and contextualise advanced knowledge and skills in executing the research project 2.Conduct a literature review:
Select methods for literature search
Demonstrate an ability to select relevant sources drawing on the work of leading scholars in the field of Electrical Engineering and Smart Grid,
Determine the criteria according to which the selected literature sources will be evaluated
Produce a comprehensive literature review on different (depending on the project) perspectives in the frameworks of Smart grid
Use written communication and technical skills relevant to the discourse of the discipline and choose an appropriate genre to communicate effectively with specialist and non-specialist audiences.
Use the CPUT prescribed referencing technique for in-text references correctly and accurately.
Use the CPUT prescribed referencing technique to compile a bibliography or list of references correctly and accurately.
3.Apply research methods for data collection, analyse and interpret data:
Study of the system under consideration and the existing problem in its operation
Model and simulate the existing system. Select case studies for evaluation of the behavior of the system and the impact of the problem to be solved on it
Demonstrate a systematic understanding of a range of research methods and techniques, critically evaluate these and apply them appropriately to investigate the research problem
Decide on what methods to be used or developed to solve the existing problem.
Develop theoretically the new methods.
Apply the developed methods to solve the existing problem in the considered system through further design of algorithms and procedures to be applied to the system
Build test-beds for real-time implementation of the proposed methods and algorithms for considered system using the equipment in the research lab. Study and use the needed hardware and software for implementation of the test bed.
Plan and perform various case studies to obtain data to be used for evaluation of behavior of the system.
Compare the obtained data and evaluate the capabilities of the used or developed methods to solve the existing problem for wide range of cases. Discuss the results
4.Draw conclusions and present research results:
Formulate the contributions of the research work, research results, and deliverables. Discuss the future applications of the deliverables.
Demonstrate the ability to compile a coherent and sustained argument that is supported by research results and conclusions in the research report.
Demonstrate the ability to present in verbal, written and/or visual form, the research results and conclusions of the study to specialist audiences emphasizing the contribution to knowledge production in the field protection, automation, and control of Smart power systems.
Demonstrate the ability to present in verbal, written and/or visual form, the research results and conclusions of the research project Prepare an article for publication in an
accredited journal or peer-reviewed conference paper in consultation with supervisor(s).
Integrate all written chapters in one research report. Construct logical flow of information through the document
5.Ethics and professional practice:
Adhere to institutional policies and requirements in terms of plagiarism.
Exercise informed judgement in relation to ethical, cultural, research and professional issues relevant to the chosen research problem.
Demonstrate the ability to make autonomous ethical decisions related to the research project which affect knowledge production, and/or complex organisational and professional issues.
6. Engineering principles and norms, and Professionalism
Be capable to learn independently in the process of self-study
Judge and evaluate /her his behaviour and responsibilities in the process of development of the assignments, practicals and projects
Value and cooperate to work as a member of a team
Integrate the knowledge from the fields of mathematics, electrical engineering, control theory, optimization theory and programming
Content Summary of subject/module content This subject teaches the students through theoretical and practical research work under the guidelines of the supervisor to learn how to develop and implement an electrical engineering project for solving problems for building the elements of Smart grids The field of the research work depends on the choice of project that each student has to develop. The students are guided to understand and perform the various stages of project development as: planning and managing, conducting literature review, analysis and system simulation, application and development of new design methods, testing of the obtained solutions by building test beds and investigation of various case studies, data collection and analysis, conclusion, deliverables formulation, and future application, and research report writing. The subject R5SG01C is compulsory and is performed during the second year of the programme. It is narrow connected and supported by all Compulsory and Elective courses as it reflects the interconnections between the elements of the Smart Grid and the multidisciplinary nature of these elements and their operation. The level of knowledge corresponds to the NQF level 9.The main part of the work on the project are: 1.Plan and manage the research project 2.Conduct a literature review: 3.Apply research methods for data collection, analyse, and interpret data 4.Draw conclusions and present research results 5.Ethics and professional practice in writing the research report (thesis)
Teaching methods Teaching and learning methods are used. The teaching is done by the supervisor and promotes learning towards the attainment of specific and critical cross-field outcomes. Learning represents the activities and responsibilities of the students in the attainment of specific and critical cross-field outcomes (theoretical and practical). The distribution of time is:
Practicals: 270h – done by students Assignments: 300h – assigned by supervisor
Consultations: 30h - discussion between the supervisor and student
Literature / Prescribed textbook
Prescribed book and Recommended reading lists depend on the field of research of the project. The supervisor will determine the Prescribed books and the reading list. The postgraduates are free and encouraged to search for publications in their field of research The students will rely also on all their previously acquired knowledge in theory and practice from the courses from MEng (Electrical Engineering)(Smart Grid) in order to execute all the required project work
Infrastructure requirements and availability
Lecture venues are equipped with presentation media such as
projector and whiteboard
Computer rooms are equipped with the necessary simulation,
configuration and application development software packages.
The laboratories are equipped with the necessary protective
relaying equipment and, test injection devices, RTDS
(simulator), PLCs, etc.,.
Project Research Methodology
Research Methodology Module Number Module Name
RME691S Research Methodology
Module classification Planning and Implementation; Technology and Innovation; Technical Management
Credits 6 UHCS
Language English
Available for All disciplines (Electrical Engineering, Smart Grid, Computer Systems, Information Technology
Level of progression Basic
Teaching material Resources will be made available in the e-learning platform (Black Board)
Time composition Total time: 90h Lectures: 60h Assignments: 10h Presentations: 10h Consultations: 10h
Prerequisite Bachelor of Science; Bachelor of Engineering; Bachelor of Engineering Technology (Honors); Post Graduate Diploma in a relevant cognitive field of Electrical Engineering, and Information Technology
Aim of the module The aim of the subject is to teach the different levels of the research process, code of conduct, engineering principles, ethics, and professional practice.
Learning outcome Understand the research components.
Organize the research process, characteristics and requirements.
Identify how to gather evidence for the research practice.
Identify and collect the engineering application research materials according to the scope of the study.
Develop the theoretical and conceptual frame work as part of the literature review chapter.
Investigate and review the literature according to the objective of the study and research criteria.
Formulate the research problem and objectives of the study according to the industry need.
Assess the functions of a hypothesis.
Test the hypothesis of the study through the developed research design, method and algorithms.
Demonstrate the developed algorithm and method at the laboratory level with the aid of software simulation and built-in hardware prototype.
Test the developed research methodology, method and algorithm with the software simulation or hardware test bed at the laboratory level.
Analyse the research findings and compare the results with the standard and set criteria.
Assess the research results and provide recommendation
Content The content present the main steps in development of a proposal for the research project based on review of the existing literature, formulation of the research problem, determination of the research methods to be used, and the time schedule for the work on the project. The Professional engineering practice and ethics are also presented. The main topics are:
Introduction to research methodology
The research process: a quick glance
Literature Review
Formulating a research problem
Constructing hypotheses
The research design How to write a research proposal
Teaching methods The Teaching will be through formal lecture sessions, presentations, and use case studies of smart grid application.
To Teach the CPUT guidelines for the research proposal and Thesis.
To teach the IEEE and Harvard style of referencing.
Open discussion section among the post-graduate students will be arranged to analyse the literature review.
Individual/group discussion section will be arranged to formalize the research problem, aim, objectives, and research methodology according to the scope of the study
Teacher-centred Lectures: 60h
Assignments: 10h
Presentations: 10h
Consultations: 10h
Literature / Prescribed textbook
Prescribed books Ranjit Kumar, “Research Methodology a step-by-step guide for beginners”, SAGE Publications Ltd , 2011. Recommended readings CR Kothari Gaurav Garg, Research Methodology: Methods and Techniques, 3rd Edition, New Age International Publishers, 1985. David V. Thiel, Research Methods for Engineers, Cambridge University Press, 2014.
Infrastructure requirements and availability
Classrooms, Black board tool, Projector and etc.,
Lecture venues are equipped with presentation media such as
projector and whiteboard
Computer rooms are equipped with the necessary simulation,
configuration and application development software packages.
The laboratories are equipped with the necessary protective
relaying equipment and, test injection devices
Protection, Automation, and Control
Smart Grid Protection Automation and Control Module Number Module Name
SGP690S Smart Grid Protection Automation and Control
Module classification Planning and Implementation; Technology and Innovation Credits 6 UHCS
Language English
Available for Disciplines of Electrical Engineering, Smart Grid, Computer Systems, and Information Technology
Level of progression Intermediate
Teaching material Resources will be made available in the e-learning platform (Black Board)
Time composition Total time: 80h
Lectures: 45h
Tutorials: 15h
Practicals: 10h
Assignments: 8h
Consultations: 2h
Prerequisite Bachelor of Science; Bachelor of Engineering; Bachelor of Engineering Technology (Honors); Post Graduate Diploma in a relevant cognitive field of Electrical Engineering, and Information Technology
Aim of the module The aim of this module is to:
Discuss power system stability, types of instability, and assessments methods
Gain a thorough understanding of the theoretical and practical aspects related to protection, automation, monitoring and control of the power system components in a modern smart grid environment.
Equip participants with the ability to work with IEC61850 standard-based devices and the Real-Time Digital Simulator.
Learning outcome Analyse the various methods for power system stability assessment with respect to steady-state and dynamic
security assessments, advanced techniques, and post disturbance analyses
Evaluate and understand the need for standard-based communications in a legacy system environment
Distinguish between the various communications media available in smart grid systems and understand the application of each.
Identify and critically analyse the implementation of Phasor Measurement Units (PMU) and Wide Area Monitoring Systems (WAMS) in the application of System Integrity Protection Schemes (SIPS)
Create and develop protection schemes using multi-function IEDs.
Implement in real-time various protection and control schemes
Content The module presents the application of the IEC51850 standard for implementation of the monitoring, protection, automation, and control theories to Smart power systems, considering all 3 components generation, transmission and distribution. The main topics in the content are:
Power system stability
Introduction to Smart Grid in Power Systems
Power System protection, monitoring automation and control
Wide-area monitoring for smart grid system
Wide-area protection system for smart applications
Wide-area control for smart grid system
Standard-based communication system
IEC 61850 standard-based Protection schemes (Practical)
Substation Automation equipment
Faults in distribution System
Distribution management system
Modelling tools for analysis
Real-Time Digital Simulation
Teaching methods Teaching will be conducted through formal lectures, tutorials, industrial case studies, assignments and practical sessions.
Teacher-centred Lectures: 45h
Tutorials: 15h
Practicals: 10h
Assignments: 8h
Consultation: 2h
Literature / Prescribed textbook
9. Handbook of Electrical power system dynamics-Modelling, stability, and control Ed. M. Eremia and M. Shahidehpour, John Wiley & Sons Publication, 2013.
10. Kundur, P., Power System Stability and Control, McGraw-Hill, New York, 1994.
11. Taylor, C.W., Power System Voltage Stability, McGraw-Hill, New York, 1994.
12. Van Cutsem, T. and Vournas, C., Voltage Stability of Electric Power Systems, Kluwer Academic Publishers, 1998.
13. Modern Solutions for Protection, Control, and Monitoring of Electric Power Systems, Schweitzer Engineering Labs, 2010. Ferrer, H.J.A., Schweitzer III, E.O.
14. Smart Grids–Fundamentals and Technologies in Electricity Networks, Springer, 2014. Buchholz, Bernd M., Styczynski, Zbigniew.
15. Smart Grid technology and application, Ekanayake, J., Liyanage, K., Wu, J., Yokoyama, A., and Jenkins, N. 2012.
Infrastructure requirements and availability
Lecture venues are equipped with presentation media such as
projector and whiteboard
Computer rooms are equipped with the necessary simulation,
configuration and application development software packages.
The laboratories are equipped with the necessary protective
relaying equipment and, test injection devices.
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