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Equipping Utilities with the Skills to Face Increasing Grid Complexity
Tom Berry European Utility Week 2014
Schneider Electric 2
Smart Grids = Complex Grids
● Electrical networks are large inter-connected systems ● Traditionally managed by different organizations, each with specialists in
equipment, protection, communication, control etc
● Smart grids can add intelligence and communication everywhere
● Standards are an important step but not sufficient ● Achieving efficiency and reliable performance needs inter-disciplinary skills
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ENERGY MARKET Transmission Distribution Centralised Generation
Utility network Grid users
Industry
Buildings
Data Centres
Infrastructure
Renewable Energy Plants
Consumers
Consumers Active
Active
Residential
Electric Vehicles
Smart Grids combine electrical & IT expertise plus both technical & commercial domains
Active Energy Efficiency: Energy visibility & Means to act Distributed Generation Distributed Generation
ENERGY MARKET
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Modeling
Evolution of skills
Protection Measure Control & IT
Equipment
Yesterday
Protection
Measurea.t Control & IT
Equipment
Comm
Today
Remote
Comm
Field
Remote
Comm
Field
Ergonomics – Social skills
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Standards as a first step
● Various international standards are addressing aspects of inter-operability within power systems ● Brings together information technology (IT) and operational technology (OT)
● The IT methodology brings the concepts of ● Use cases ● Data Models ● Services ● Service mappings to specific communication technologies and media
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Smart Grid Architecture Model
● Smart grid architecture model ● Defines inter-operability layers, domains, zones and typical systems
● Data modelling is a key technique ● Sender and receiver(s) have the same understanding of the meaning of the
exchanged information ● Helps capture requirements in a non-ambiguous way ● Enables long-lasting re-usability ● Guides design and implementation ● Guides test
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Smart Grid Architecture model
GenerationTransmission
DistributionDER
CustomerPremises
Process
Field
Station
Operation
Enterprise
Market
Domains
Zones
Component Layer
Communication Layer
Information Layer
Function Layer
ProtocolProtocol
Data ModelData Model
Outline of Usecase
Functions
Business Layer
Business ObjectivesPolit. / Regulat.. Framework
InteroperabilityLayers
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Introducing systems
GenerationTransmission
DistributionDER
CustomerPremises
Process
Field
Station
Operation
Enterprise
Market
Domains
Zones
Component Layer
Communication Layer
Information Layer
Function Layer
ProtocolProtocol
Data ModelData Model
Outline of Usecase
Functions
Business Layer
Business ObjectivesPolit. / Regulat.. Framework
InteroperabilityLayers
Collection of systems
Mapping Chart
Components Cluster
System Chart
Comm Chart
Info Chart
UC breakdown (per system)
System Approach
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Mapping Chart
Achieving interoperability involves considering the system engineering process
● Top-down ● From the requirements to the implementation ● The most robust way in the long term
● Bottom-up ● From selected components to upper
application levels ● Short term efficiency
● Mixed ● To take existing devices into account
Business Layer
Function Layer
Information Layer
Communication Layer
Component Layer
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● The most stable part of your system is your requirements ● Components are there to match user’s requirements ● Formal standard languages are available to capture your requirements
in a neutral way
System tools, relying on open standards, enable you to increase dramatically the engineering process efficiency !
System life cycle Design Commissioning Maintenance Upgrade
Business Layer
Function Layer
Information Layer
Communication Layer
Component Layer
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A shift in standard usage
Impl
emen
tatio
n ac
tiviti
es V
endo
rs
« S
tand
ards
sco
pe »
S
yste
m a
ctiv
ities
U
ser o
rient
ed
Testing cases Interoperability
Compliance
Requirement Architecture
UCs Requirement Architecture Use Cases
Testing cases Interoperability
Implementation & test
Specification
Top-down solution & system driven
Conventional bottom-up product-oriented
vs. Business Layer
Function Layer
Information Layer
Communication Layer
Component Layer
NEW
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How to address the Smart Grids challenge efficiently ? ● Incorporate modelling workforce expertise into
company assets. ● Secure electrical process expertise at the core of the
engineering activity, through maintainable components.
● Create standardized functional requirements for different asset types such as feeder, transformer, busbar and others.
● Clearly document all electrical system details and constraints into standardized artefacts.
● Multiply corporate intelligence into different domain-specific teams & locations.
● Construct a solid re-usable base reference model suitable for different engineering groups & activities such as purchasing, maintenance, R&D.
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Modelling tools are becoming unavoidable to manage the complexity – they are just arriving
• 100% based on IEC 61850 standard • Capable to design and configure an open distributed system and its components • Inside an heterogeneous smart grid solution!
• Catch your requirements in a formal way – non ambiguous • Create templates for further efficiency • Model the communication needs • Select the components in an open world and check its fit • Configure the devices
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State of the art “smart” system specification (for SAS)
1. System Specification ● Cross-domain requirement full review ● Review/update applicable company standards
and conventional designs ● Modelling of SAS Interfaces to other systems ● Mapping of SAS Functionality ● System architecture definition ● Implementation constraints ● Conformance requirements to IEC61850 ● Cyber-security requirements
● Deliverables : ● Word document containing the new
specification where future systems will be based on, their minimum requirements in terms of desired functions and interoperability with other systems.
● SSD file containing the substation topology and the required functions dispersed on the switchyard.
● Role based access design
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State of the art “smart” system design (for SAS) 2. System Design
● Design of virtual IEDs to host the different functions.
● Functional naming implementation definition ● UML model with time reference for the
distributed functions to be implemented. ● Generic mimic generation for the basic HMI
representation. ● Network topology, prioritization & traffic
segregation. ● Client virtualization with standard protocol
translation when applicable.
● Deliverables : ● UML model ● ICD file with virtual IED contents ● SCD file with virtualized devices & clients ● Word document containing full system pre-configuration, network & message detail, IED detailed
implementation, tables with different system details and the mapped signals ● Word document containing the validation plan
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Possible outcome of the previous stages reducing implementation risks 3. System virtual testing
● Based on the system design model ● All test sheets based on the virtual implementation,
containing a step by step testing procedure to be followed during system FAT & SAT.
● Deliverables : ● Word document containing the different test sheets and
their expected results.
4. System pre-testing ● Based on System Design, test the static capabilities of
selected devices model & firmware to fulfil and match the functional requirement.
● Creation of an estimated performance report based on system design & selected devices.
● Deliverables : ● Word document containing the test report
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State of the art “smart” system integration (for SAS)
5. System advanced Integration & interoperability test ● Transformation of the system virtual design into reality
by incorporating the selected devices. ● Performing an interoperability test with the selected
devices at functional level. ● Creation of an estimated performance report based on
system implementation . ● Perform endurance tests with selected devices
ensuring robustness & reliability.
● Deliverables : ● Real SCD implementation file, + all IEC61850
deliverables (ICD, IID, CID) ● Real test sheets based on device implementation ● Word document containing the different estimated
performances ● Word document containing the interoperability test. ● Word document containing the endurance test result.
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Conclusion
● Setting-up Smart Grids is one of the most ambitious challenges the Industry has ever had
● Data model standards and modelling are becoming the corner stone of to reach interoperability at information level.
● Standards for the core models are ready ● User groups are working on defining inter-operability profiles
● Skills and processes need to be considered ● New design tools are under development