British Council Researcher Links Workshop

Smart Grid Transformation of Existing Electricity Networks in the UK and Turkey: What are the Challenges and How They Change from Smart

Cities to Smart Villages

ABSTRACT AND PROGRAM BOOK

September 5-7, 2017 Istanbul, TURKEY

Organized by

Professor Aydogan OZDEMIR, ISTANBUL TECHNICAL UNIVERSITY

Dr.Sasa DJOKIC, THE UNIVERSITY OF EDINBURGH

Contents

WELCOME ADDRESS ............................................................................................................................................. 1

PROGRAM AT A GLANCE ...................................................................................................................................... 2

ABSTRACTS OF ECR PRESENTATIONS ........................................................................................................... 5

1

WELCOME ADDRESS

Dear Workshop Participants, dear Colleagues,

On behalf of the organisers, we cordially welcome you to the Workshop on “Smart Grid Transformation

of Existing Electricity Networks in the UK and Turkey: What are the Challenges and How They Change

from Smart Cities to Smart Villages?” This Workshop is jointly organised by the University of

Edinburgh, UK, and Istanbul Technical University, Turkey, and is supported by Newton Fund British

Council Researcher Links Programme.

The main aim of the Workshop is to give Early Career Researchers (ERCs) from both Turkey and UK

an opportunity to establish new, or to strengthen existing international connections and collaborations,

as well as to plan their research and engage in joint projects. We have an exciting programme of five

Plenary Speeches by Workshop Mentors, which will be followed by around 30 ERC presentations. This

will allow ERCs to present their research, which will be then discussed in a number of Round Tables

and “Brainstorming Sessions” with other ERCs and established researchers from the UK and Turkey.

We believe there will be many other opportunities for discussions and exchanges of ideas, as well as for

sharing research results, knowledge and experience during the two and a half days of the Workshop.

Finally, we will have a talk from the British Council and Newton Fund representatives, who will tell us

about ongoing and future funding opportunities that might be of further interest.

The Workshop social programme will be mostly during the evening hours, when we will organise

dinners (with additional opportunities for networking), including a Gala Dinner and Cruise Tour along

Bosphorus, in a hope that this will allow us to explore at least a bit of Istanbul, an ancient but truly great

and cosmopolitan city, where “East meets West”.

We wish you a very successful Workshop and an enjoyable stay in Istanbul and in Turkey.

Prof. Aydogan Ozdemir and Dr Sasa Djokic

2

PROGRAM AT A GLANCE

Time Monday September 4, 2017

14:00-19:00

Arrival and check-in the Hotel

19:00-22:00

Dinner

Time Tuesday September 5, 2017

08:30-09:00

Registration

09:00-09:30

Opening notes and remarks

09:30-10:30

Aggregate Impact of Smart Grid Technologies on the Quality of Power Supply

Dr.Ignacio Hernando-Gil, Bath University 10:30-11:00

Coffee Break

11:00-12:00

Building/Home Energy Management and Automation Systems and Technologies,

Professor Aydogan Ozdemir, Istanbul Technical University

12:00-12:30

ECR Presentation-1 Eiman Elbanhawy, The Open University-UK, Sharing economies & resources in smart cities

Ugur Savas Selamoğulları, Yıldız Technical University-TR, A Smart Grid-Compatible Smart Home

Ionna Pisica, Brunel University London-UK, Peer to peer energy transactions-utopia or tangible target? 12:30-13:45

Lunch

13:45-15:30

ECR Presentation-2 Serhat Berat Efe, Bitlis Eren University-TR, Intelligent Approaches for Power Flow Control in Smart Microgrids Mousa Marzband, University of Manchester-UK, Support large renewable generation at the distribution level through fully automated transactive-energy-based retail electricity market Vehbi Cagri Gungor, Abdullah Gul University-TR, Wireless Sensor Networks for Smart Grid: Research Challenges and Opportunities Amirhossein Sajadi, University of Manchester -UK, Challenges and opportunities in transition from the current grid operation to highly distributed Transactive-based grid operation. Ozan Keysan, Middle east technical University-TR, Latest research projects in Middle East Technical University on the smart grid applications Kevin Jagadissen Munisami, University of West London-UK, Novel solar power capture and delivery technique using Plastic Optical Fibers Betül Özer, Kırklareli University-TR, TBC Ehada Hassan, University of Hertfordshire-UK, Energy Storage in Electric Power Grids Fatih O.Hocaoğlu, Afyon Kocatepe University-TR, The importance of accurate forecasting of demand and consumption side and new forecasting tools on smart grid applications

15:30-16:00

Coffee Break

16:00-17:00

Roundtable Discussion and Brainstorming Session (minuted and organised by

Rapporteurs) 17:00-17:30

Rapporteurs’ Feedback

19:00-22:00

Dinner and networking activities

Time Wednesday September 6, 2017

09:00-10:00

Funding Opportunities in the UK

Mr.Ilter Haliloglu, Head of Science and Innovation British Council & by Ms Asli

Akcayoz, Newton Fund Programme Coordinator at British Embassy

10:00-11:00

Communications and Data Processing Techniques for Smart Grid Networks

Professor John Thompson, the University of Edinburgh 11:00-11:30

Coffee Break

11:30-12:30

Whole-Systems Smart Grids -- from Smart Cities to Smart Villages

Dr Sasa Djokic, The University of Edinburgh 12:30-13:45

Lunch

13:45-15:30

ECR Presentation-3 Musa Yılmaz, Batman University-TR, Prediction of growth rate of electrical vehicle in Turkey and solution for electrical grid problems which caused load of electrical vehicles Gill Lacey, Teesside University-UK, Using Controlled Charging Of Electric Vehicles to Support the Power Network Rasim Doğan, Afyon Kocatepe University-TR, ZIP Load Model: Active and Reactive Power for Modern Loads Grazia Todeschini, Swansea University-UK, Control of multi-functional inverters to improve grid operating conditions Mustafa Baysal, Yıldız Technical University-TR, Three-Phase Voltage Source Inverter for Microgrid Concept Adam Collin, The University of Edinburgh-UK, Key challenges in load modelling and their role in designing analysis tools for assessing smart grid technologies at different scales and voltage levels Emrah Dokur, Bilecik S.E. University-TR, Using a New Method based on Finsler Geometry for Wind Speed Modelling Sima Davarzani, Brunel University-UK, Implementation of a multi-agent system to achieve flexible price-based demand response by controlling the power flows in low-voltage distribution networks based on dynamic pricing of electricity Tuğçe Demirdelen, Adana Science and Technology University-TR, Power Quality Issues in Smart Grid Applications

15:30-16:00

Coffee Break

16:00-17:00

Roundtable Discussion and Brainstorming Session (minuted and organised by

Rapporteurs) 17:00-17:30

Rapporteurs’ Feedback

19:00-22:00

Cruise Tour along Bosporus and Gala Dinner

4

Time Thursday September 7, 2017

09:00-10:00

Smart Electricity Distribution Grids in Smart Cities

Professor Mustafa Bagriyanik, Istanbul Technical University 10:00-10:30

Coffee Break

10:30-11:30

ECR Presentation-4 Aysun Sezgin, Aydin University-TR, Maintenance Activities in Smart Grid Christos Chousidis, University of West London-UK, The scaling capability of two widely exploited communications protocols Oguzhan Ceylan, Altınbaş University-TR, Coordinated voltage control with high penetration of wind in power distribution systems Nagham Saeed, University of West London-UK, The Smart Environment Monitoring System (SEMS) Emrullah Fatih Yetkin, Altınbaş University-TR, The effects of soft errors on power flow calculations

11:30-12:00

Roundtable Discussion and Brainstorming Session (minuted and organised by

Rapporteurs) 12:00-

12:30 Closing Session

12:30-13:45

Lunch

ABSTRACTS OF ECR PRESENTATIONS

Sharing economies & resources in smart cities Eiman Elbanhawy, The Open University-UK

Due to the high number of photovoltaic (PV) inverters installed, in some regions of the UK the power generated under peak conditions exceeds the transmission system capacity limits. With the aim to mitigate this condition and operate the grid within its design limits, utilities curtail PV output power, thus causing financial loss for the PV system owners and limiting the use of the installed components. The control system proposed in this work allows using the PV inverter as an Active Filter (AF), when the output power is curtailed, thus improving the system power quality and exploiting the installed MVA. A novel contribution is the description of a harmonic derating coefficient which limits harmonic current injection based on the fundamental current generated by the inverter. The proposed application fits within the scope of the smart grid, where multi-functional inverters can be controlled by utilities to improve grid operating conditions.

A Smart Grid-Compatible Smart Home Ugur Savas Selamoğulları, Yıldız Technical University-TR

Recently, ideas like smart cities, smart buildings/homes has been widely used under smart grid concept, which is a new research area that combines power systems and information technology (IT). The basic building block of the smart grid can be considered as “smart home”. Smart grid infrastructure with smart homes will allow to monitor electrical demand of a city or a residential customer and to achieve better utilization of existing grid through the use of streaming demand data. In addition, it will be easier to integrate renewable energy sources into existing grid. Experimental demonstrations are important for promoting smart grid concept. Thus, a renewable energy supplied smart home project with a budget of $0.5 million has been completed at Yildiz Technical University (YTU), Istanbul, Turkey. With the smart home prototype, research will be conducted in several fields: renewable energy integration, demand management, micro grid, design of smart devices (like smart plug, smart meter, smart transformer), research on communication methods, so on. This presentation introduces the constructed smart home prototype in detail.

Peer to peer energy transactions-utopia or tangible target? Ionna Pisica, Brunel University London-UK

Demand response can increase energy efficiency of communities. It provides an opportunity for consumers to play a significant role in the operation of electricity networks - the infrastructure underlying their cities. This can be achieved by reducing or shifting their energy usage in response to time-based tariffs or other financial incentives. This presentation will relate some of the research undertook in the Smart Power Networks Theme at Brunel University in assessing the effects of such schemes. I will discuss the reasons behind integrating consumers into the smart cities mindset and possible pathways to achieving behavioural change of energy users. I will illustrate the role of enabling technologies, while also addressing the shortfalls and limiting factors of integrating consumers in energy management and operational decisions.

Intelligent Approaches for Power Flow Control in Smart Microgrids Serhat Berat Efe, Bitlis Eren University-TR

Smart microgrids are small power systems that consist of several types of distributed generators such as photovoltaic, wind energy and fuel cell systems with advanced level control units. As the smart microgrids are consist of renewable energy sources and they have limited supply and generating capacities, produced energy has to be used and also distributed in most economic and appropriate way. This study is focused on the analysis, optimization and control of power flows on transmission and distribution lines of smart microgrids. Intelligent methods that can be used both analysis and optimization are proposed and discussed.

6

Support large renewable generation at the distribution level through fully automated transactive-energy-based retail electricity market

Mousa Marzband, University of Manchester-UK

This paper presents a study about the optimal operation of series connected wind turbines in an off-shore wind farm. A mathematical optimization model for maximum efficiency was developed. The model includes losses in the active components such as the machine and the semiconductors, as well as the transmission losses. Stochastic behavior of the wind velocity is considered by the use of Monte Carlo simulation. Simulation results show the promising features of series connection but also its possible drawbacks.

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Wireless Sensor Networks for Smart Grid: Research Challenges and Opportunities Vehbi Cagri Gungor, Abdullah Gul University-TR

Today’s power grid suffers from the lack of effective communications, monitoring, and automation. To address these problems, recently the next generation electric power system, i.e., smart grid, has emerged. In the smart grid, reliable and real-time information becomes a critical issue for reliable delivery of power from the generating sites to the end-users. The impact of equipment failures, capacity limitations, and natural accidents and catastrophes, which cause power disturbances and outages, can be largely avoided by online power system condition monitoring, diagnostics and protection. To this end, the intelligent monitoring and control enabled by wireless sensor networks (WSNs) have become one of the alternatives to realize the envisioned smart grid.

In this presentation, first a review about smart grid characteristics, system architecture, and key players will be presented. Then, smart grid research challenges and design principles are introduced along with the emerging and already employed WSN-based smart grid applications and their communication requirements. Specifically, smart grid communication technologies, field tests, and pilot projects are discussed. In addition, smart grid standards and regulations will be presented for the system owners, who plan to deploy WSNs for smart grid applications. Finally, the presentation is concluded with smart grid technology road map and open research issues.

Challenges and opportunities in transition from the current grid operation to highly distributed

Transactive-based grid operation Amirhossein Sajadi, University of Manchester –UK

Despite the growth of solar photovoltaic (PV) technologies for power generation, it only contributes to around 1.2% of world’s energy supply. The main drawback of solar PV technology is its high investment cost, which deters the penetration of this technology especially in the developing countries. Current installation costs of a simple solar PV system reveal that around 40-50% of the total cost comes from the PV module. To address this issue, one of the solutions suggested by several researchers is to incorporate optical concentrators into solar PV systems. This talk will present the current development of solar concentrator as an alternative to the traditional solar PV panel to achieve sustainable and resilient future energy systems for smart villages in Turkey.

Latest research projects in Middle East Technical University on the smart grid applications

Ozan Keysan, Middle east technical University-TR

I would like to give a short presentation about the latest research projects in Middle East Technical University on the smart grid applications such as: - Smart City in METU Campus (funded by United Stated Trade and Development Agency) - Pattern Recognition is Electric Distribution Systems (EU H2020 Project in colloboration with EnerjiSa)

University of West London-UK, Novel solar power capture and delivery technique using Plastic Optical Fibers

Kevin Jagadissen Munisami

Plastic Optical Fibres were developed primarily for short haul data communications but have in recent years found aplications in a number of other areas. One of these is the capture and delivery of solar energy. This is quite a niche area and fits very well within the concepts of sustainable energy systems and smart grids. This innovative research project proposes a novel solar power capture and delivery technique, using POFs as both the collection and transmission mechanisms. One of the advantages of using optical fibres in such an application is the elimination of one of the two axes (orbital) of solar tracking and the considerable decrease in importance of the second axis (seasonal). They could also potentially reduce to some extent or and in some cases eliminate the need for concentration optics. The captured sunlight could potentially be used for daylighting or for electricity generation using PVCs. Another application being currently considered is in the generation of electricity using algae, within smart buildings and structures. In such an application, there is a need for transporting sunlight to confined/hidden areas within buildings where algea are produced. Such a system has the potential to be a smart addition to the concept of smart villages.

TBC

Betül Özer, Kırklareli University-TR

Energy Storage in Electric Power Grids Ehada Hassan, University of Hertfordshire-UK

Electricity demand is high and the grid needs to be stabilised and utilised in an improved manner to achieve a higher performance with lower risks. This includes the positioning of the energy storage systems for simpler and efficient distribution of electricity. My area of research has to do with energy storage in electric power grids, specifically in considering various locations in which to place an energy storage battery and compare the power differences to achieve maximum output efficiency. These circuits are in regards to the distances that will affect the energy efficiency in respect to the PV (Photo-Voltaic) plants, the distribution grids and the consumer destination. This research involves the usage of renewable energy to which will improve our economy to a much better condition than our current state. Therefore, advancement on this grid should be in a higher demand. This topic can help aid countries around the world, including under-developed countries, to avoid power cuts and failures, power reduction and restriction in which both situations lead to undesirable circumstances. The approach to this solution via energy storage systems is ideal as it evades and puts over-generation to use for upcoming situations.

The importance of accurate forecasting of demand and consumption side and new forecasting tools

on smart grid applications Fatih O.Hocaoğlu, Afyon Kocatepe University-TR

As known the smart and its technologies take more attention due to the developments on renewables and transmission technologies. It is of vital importance to predict the consumption and production of electricity connected on the grid to prevent the loss and efficient planning. Therefore, in this speech the importance of accurate forecasting on both producer and consumer side will be mentioned in detail. Moreover, the novel models and their strong and weak points will be discussed. Mainly advanced signal processing based models will be mentioned. Finally the application of the models and their performance on forecasting will be shared

Prediction of growth rate of electrical vehicle in Turkey and solution for electrical grid problems which

caused load of electrical vehicles

8

Musa Yılmaz, Batman University-TR

This paper presents a study about the optimal operation of series connected wind turbines in an off-shore wind farm. A mathematical optimization model for maximum efficiency was developed. The model includes losses in the active components such as the machine and the semiconductors, as well as the transmission losses. Stochastic behavior of the wind velocity is considered by the use of Monte Carlo simulation. Simulation results show the promising features of series connection but also its possible drawbacks.

Using Controlled Charging Of Electric Vehicles to Support the Power Network Gill Lacey, Teesside University-UK

Electric vehicle charging regimes that can provide the charge required by the user whilst supporting the grid and protecting battery health will be required as EVs become more popular. Based on experimental tests and verified by literature, the factors that are known to shorten battery life have been quantified and the impact on battery degradation of average state of charge is analysed. Charging regimes that can lower average state of charge, thus protecting the state of health of the battery are described. It is demonstrated that delayed charging, less frequent charging and some vehicle to grid power flow for storage can prolong battery life compared with providing the same charge in an uncontrolled way. Thus grid power is supported and battery life protected by this schedule based on controlled charging.

ZIP Load Model: Active and Reactive Power for Modern Loads Rasim Doğan, Afyon Kocatepe University-TR

This study has been conducted for the purpose of developing load models for the residential customers. Residential customers have been divided into four different subclasses A, B, C, and D, according to their average annual energy consumption. An analysis of annual consumption shows that each subclass has different load composition and typical number of household appliances. A series of voltage reduction tests were performed on residential appliances to observe their behavior under varying voltage conditions. Current and powers quantities were recorded as a function of voltage. A quadratic curve fitting is performed on the test results in order to generate active and reactive ZIP coefficients for each appliance with three components: Constant impedance (Z), constant current (I), and constant power (P). A comprehensive ZIP load table is created for the tested appliances. ZIP coefficients are used for reconstructing active and reactive power behavior of the various residential subclasses. In order to verify the results, appliances for residential subclasses A, B, C, and D are assembled and tested in the power laboratory. Results are compared with the reconstructed data. The active power reconstructed data and test measurements are in agreement. However, it has found that reactive power is different in important ways from the measured values. From this, it can be concluded that there is a problem with the definition of the reactive power (now called non-active power) in the IEEE Standards for nonlinear

circuits.

Control of multi-functional inverters to improve grid operating conditions

Grazia Todeschini, Swansea University-UK

Due to the high number of photovoltaic (PV) inverters installed, in some regions of the UK the power generated under peak conditions exceeds the transmission system capacity limits. With the aim to mitigate this condition and operate the grid within its design limits, utilities curtail PV output power, thus causing financial loss for the PV system owners and limiting the use of the installed components. The control system proposed in this work allows using the PV inverter as an Active Filter (AF), when the output power is curtailed, thus improving the system power quality and exploiting the installed MVA. A novel contribution is the description of a harmonic derating coefficient which limits harmonic current injection based on the fundamental current generated by the inverter. The proposed application fits within the scope of the smart grid, where multi-functional inverters can be controlled by utilities to improve grid operating conditions.

Three-Phase Voltage Source Inverter for Microgrid Concept Mustafa Baysal, Yıldız Technical University-TR

Distributed energy resources (DER) have recently become popular in electric power system to provide energy source diversity, to increase efficiency in power system and to avoid power outages. Application of individual DERs can cause many problems such as power quality, voltage regulation. Microgrid can be good solution to those problems. A couple of DER’s, energy storage units and loads have emerged with microgrid concept. This concept can operate both grid-connected mode and island mode. Since some of the distributed generation units are connected to microgrid via inverter interface, the control of inverter should be suitable for both on-grid and off-grid operations. In this study, a three-phase inverter is developed for microgrid. The voltage source inverter (VSI) rated 5 kW power can be operated with/without grid connection (namely in grid connected mode and in island mode). For ensuring this kind of operation, either different control methods are used for each operation modes, or a control technique is utilized independent of operation mode. In this study, the latter is utilized for the control of prototype inverter. The Multisim software program (National Instruments company, NI) is used for simulations. Grid connected and island operations of inverter are realized by droop control method. After the modeling is completed, the inverter prototype is implemented in laboratory. The inverter is controlled via LabVIEW which is graphic based monitoring and control software of NI company. Moreover, NI 9683 Rio development kit, which is FPGA based electronic card of the same company, is used.

Key challenges in load modelling and their role in designing analysis tools for assessing smart grid technologies at different scales and voltage levels

Adam Collin, The University of Edinburgh-UK

Understanding how end users and their appliances interact with the supply network is one of the most important tasks when designing and operating a power system. This is true from the top to the tail of the power system and a good understanding of load characteristics is equally essential when implementing smart grid functionalities in developed areas as it is to extending the tail in rural electrification schemes. This presentation will consider some of the key challenges in load modelling and their role in designing analysis tools for assessing smart grid technologies at different scales and voltage levels.

Using a New Method based on Finsler Geometry for Wind Speed Modelling Emrah Dokur, Bilecik S.E. University-TR

Accurately modelling of wind speed is very important for the assessment of wind energy potential of a certain region. Before the installation of a wind energy conversion system in a region, the wind speed potential of that region needs to be determined and modelled. For this reason, different distribution functions such as two-parameter Weibull, Gamma, Lognormal, Rayleigh etc. are proposed for accurately modeling wind speed in the literature. In this presentation, new probability and cumulative probability density functions based on Finsler geometry are proposed for wind speed modelling. Two-dimensional Finsler space metric function is obtained for Weibull distribution. Monthly analysis for Bozcaada, Gökçeada and Bilecik, Turkey are realized using a new method based on Finsler geometry and two-parameter Weibull distribution. Wind data, consisting of hourly wind speed records between October 2015-September 2016 were obtained from the Bozcaada, Gökçeada and Bilecik station of Turkish State Meteorological Service. The performances of the models are given comparatively by using root mean square error (RMSE).

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Implementation of a multi-agent system to achieve flexible price-based demand response by controlling the power flows in low-voltage distribution networks based on dynamic pricing of electricity

Sima Davarzani, Brunel University-UK

Enabling an automated demand response infrastructure can effectively address the distribution network operational issues that result as a consequence of overloading due to aggregated peak demand. The main objective of this research is the implementation of a multi-agent system to achieve flexible price-based demand response by controlling the power flows in low-voltage distribution networks based on dynamic pricing of electricity. The implementation is based on an accurate estimation of the granularity of demand responsiveness. Furthermore, probability assessment of switching tariffs is dependent on the price elasticity of the different clustering of customers in each feeder. In order to cluster customers, both internal and external aspects of residential load characterization have been studied. The implementation provides a framework for both distribution network operators and suppliers that enables more effective dynamic pricing schemes and improve distribution automation.

Power Quality Issues in Smart Grid Applications Tuğçe Demirdelen, Adana Science and Technology University-TR

Smart Grid (SG) as the next generation of power grid have gained so much attention among of a lot of researchers. The Smart Grid is presented as an intelligent power grid to optimize production, distribution and consumption of electricity, it helps to balance supply and demand through the introduction of the Information and Communication Technology (ICT) on the electric grid. This intelligence can be deployed at various levels of the network, namely: production, transport, distribution, and consumption.

The proportion is even larger in developing countries, where the industrial sector typically accounts for a larger proportion of the economy. Thus, it is both urgent and essential to ensure increased reliability and enhancement of energy efficiency on all components of power supply systems that are among the main features of industrial smart grid; A rather important factor in the energy efficiency is an increase in its quality and its system load profile. The extensive application of non linear loads in industrial sector causes power quality problems such as: current harmonics, a poor power factor, unbalance, voltage sag, swell, etc. such the most popular of these disturbing loads is the rectifier used for AC to DC conversion in several applications, especially with the penetration of distributed energy resources in the power system and plug-in electric hybrid vehicles (PHEVs) which are required by smart grid for environmental protection as well as the DC grids that will be added as transmission and distribution backbones to existing AC grids.

In this work, the power quality issues are analyzed in smart grid applications. It is aimed at providing a broad perspective on the status of power quality issues in smart grid applications’ technology to the researchers and the application engineers dealing with them.

Maintenance Activities in Smart Grid Aysun Sezgin, Aydin University-TR

Today, restructuring process of electric power industry from conventional past to competitive power market, also including renewable energy source, has increased the importance of maintenance and brought the necessity of improved cost-effective maintenance management methods. Conventional maintenance methods were generally concentrated on the physical conditions of the asset, its performance and environmental conditions. The new maintenance programs, however, are so organized to include the impacts of maintenance interruption and asset deterioration on system reliability degradation. This presentation gives a brief summary of the maintenance activities in smart grids.

The scaling capability of two widely exploited communications protocols Christos Chousidis, University of West London-UK

Demand-side Response and dynamic tariffs are two examples of advanced functionality that may benefit both electricity consumers and distribution network operators. To be successful, the ICT infrastructure needs to be able to reliably cope with the data traffic. Within the wider UK context of the proposed centralized smart meter data transmission scenario, this paper demonstrates the scaling capability of two widely exploited communications protocols. Both payload (transmission overhead) and end-to-end delay times are examined.

Coordinated voltage control with high penetration of wind in power distribution systems Oguzhan Ceylan, Altınbaş University-TR

This paper develops coordinated voltage control with high penetration of wind in power distribution systems. In the proposed method, daily schedule of optimal voltage profiles are determined by using optimization technique based on predicted values of load demand and by controlling tap positions of regulators, switched capacitors, and reactive power outputs of the inverters. In this paper, three optimal voltage control models are developed: the first model uses capacitors as control devices; the second model uses capacitors and tap changers of voltage regulators; and the third model includes the inverters of the wind turbines as well. We use a recently developed heuristic, Sine-cosine algorithm, to solve the optimal voltage control problems. The case studies carried out on a modified 33-node feeder shows the effectiveness of the proposed optimization models in controlling the voltages in distribution feeders.

The Smart Environment Monitoring System (SEMS) Nagham Saeed, University of West London-UK

The tragic events of the Grenfell Tower fire led many to lose their lives and homes. This has clearly illustrated the dire need to make alterations to safety and communication procedures to enhance the current standards of health and safety.

Smart Cities will allow governments to be more efficient and effective using up to date strategies and technologies that can provide the utmost degree of safety and security, creating a safe environment. The ever-modernising world we live in is continuously producing new security challenges, this means the current climate that exists demands the use of Smart Cities more than ever to allow us to confront and prevent the challenges we face. The Smart Environment Monitoring System (SEMS) is a proposition, which allows users to monitor their premises for any kind of temperature issues and gas leaks. In the case of critical temperatures or gas leaks the system sends a text message to the users and in the event of fire it calls the emergency services. The user can monitor real-time temperature and gas data using internet-enabled devices such as smart phones and tablets.

The effects of soft errors on power flow calculations

Emrullah Fatih Yetkin, Altınbaş University-TR

This presentation we will explain a model to show the effects of soft errors on power flow calculations. We create artificial bit-flips and apply them to solve linear equations obtained in Fast Decoupled Load Flow (FDLF) method. With this, we aim to represent the sensitivity of FDLF iteration against soft errors with a statistical view by using different numerical fault injection scenarios. The study focuses on the soft-error sensitivity of the FDLF method with exact (LU) linear solvers. We performed huge set of experiments on IEEE 14, 30, 57, 118 test systems to examine the soft-error resiliency of FDLF method. Statistical study shows that even for small systems, soft-errors may have large impacts on the convergence of the FDLF. Hence, an improvement should be provided against soft errors in power flow studies to obtain more efficient and reliable simulations in near future exascale computational environments.

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