SCADA applications of smart grid and integration with the AMR system International Istanbul Smart Grid Congress & Fair, May 08-09, 2014 SCADA applications of smart grid and integration with the AMR system

The Smart Grid Suite SERVICE & SMART GRID SECURITY GENERATION TRANSMISSION DISTRIBUTION CONSUMPTION RAIL & MICROGRIDS GRID AND ENTERPRISE IT BIG DATA ANALYTICS, IT INTEGRATION SERVICE & SMART GRID SECURITY EMS DMS ADMS Microgrids GRID CONTROL GRID APPLICATION Virtual Power Plants Demand Response Meter Data Mgmt. eCar Operation Center COMMUNICATION & AUTOMATION AUTOMATION HMI COMMUNICATION PROTECTION SENSORS POWER QUALITY SMART METER FIELD DEVICES SENSORS AND PROTECTION PRIMARY EQUIPMENT SMART TRANSMISSION SMART DISTRIBUTION RAIL & MICROGRIDS

Primary Drivers for Smart Grids … and … Emerging Utility Needs Avoid outages Reduce outage duration Utilize consolidated user control across the entire grid Reliability Minimize grid losses Maximize grid utilization Cost Reduction Automate fault localization and supply restoration Gain maximum benefit from smart meter information Closely interact with field IEDs Automation & Communication Securely balance intermittent generation, switchable loads, and storages Optimally curtail/restore generation acc. to grid loadability Renewable Integration Primary Drivers for Smart Grids Emerging Utility Needs

Advanced Distribution Management System (ADMS) The Revolutionary 3-in-1 Solution Monitor & Operate Analyze & Optimize Track & Restore Track & Restore Monitor & Operate Analyze & Optimize

Advanced Distribution Management System (ADMS) Common Web-based User Environment Integrated workflows across applications Web-based Thin clients

Trans- formation to CIM Advanced Distribution Management System (ADMS) Geographical Information System (GIS) as data master Data input e.g. RTU data Control Center System Trans- formation to CIM Data Engineering Tool GIS System Extraction Runtime Database GIS Data Incremental data changes Data import Online transfer activation

Spectrum Power™ ADMS The Revolutionary 3-in-1 Solution Monitor & Operate Analyze & Optimize Track & Restore

Applications benefitting from Smart Metering Data: Meter Power Indications  Track & Restore Outage Management System (OMS) Out-of-service notifications (last gasp) - Meter events are mapped to customers and/or distribution substation – visualization on map using coordinates – processing in OMS Fault Location ADMS operator or application pings specific meters to verify power outage - visualize “no power” status on map -process in OMS Fault Location ADMS operator or application pings specific meters to verify after service restoration Back-to-service notifications (first breath)

Spectrum PowerTM 7 - Advanced DMS Outage Management – Outage Prediction (simplified) 110 kV T1 T2 Substation Substation Transformer Substation Transformer CB1 CB2 20 kV FT1 CB3 Several customer calls or indications from smart meters 10 6 T3 T4 Confirmed Transformer Outage Predicted Transformer Outage F1 S1 Field crews verifies the outage & operator updates switch position T5 T6 T7 2 7 3

Spectrum Power ADMS supports the complete workflow chain Track & Restore Optimized, integrated workflows for shorter outage restoration times Enter new Trouble Call ‚Power‘ indication ‚No power‘ indication Trouble Call Operator (Back Office) Meter Data Management (ESB Integration) Meter Data Management (ESB Integration) Predicted Outage Review Outage Details and Location Assign Crew to Assess Fault Manual Update of Network Status Assign Crew for Repair Work Manual Update of Network Status Close Outage Unplanned Outage Operator (Control Room) Assess Fault Repair Fault Crew (On Site) Spectrum Power ADMS supports the complete workflow chain

Spectrum Power™ ADMS The Revolutionary 3-in-1 Solution Monitor & Operate Analyze & Optimize Track & Restore

Siemens Autonomous Substation Controller Releasing hidden capacity by Active Network Management using online controllable devices GUS Applications System Spectrum PowerCC CFE DNA SCADA GUS Controller SICAM 1703 ACP AK Data concentrator VVC Cell optimisation DSSE / DSPF Modelling Thermal modelling IMM Topology processing C o m u n i c a t F r E d I f M e l g RDC Siemens Autonomous Substation Controller Battery capacity management Thermal modelling Local voltage Local thermal Capacitor control OLTC AVC L p s Other applications There’s a range of solutions on the market, and a range deployed on the Northern Powergrid network. All of them perform the same function, bringing in real-time information and sending out real-time set-points. The difference is in the complexity of the black box which sits in the centre of the web The solution we’re working on with Siemens represents the most sophisticated and complex kind of black box. That complexity brings its own challenges, but it is powerful and flexible Having a state estimator means that we don’t need to work out in advance where constraints will arise, and then put monitors there. So long as we make sure that we have measurements from the source substation, the system is resilient to loss of communications from remote monitoring Having an on-line optimisation routine means that we don’t have to work out in advance how best to address any given constraint, so the system can solve problems that we hadn’t thought of Being able to optimise means we can also look to minimise operational costs, reduce network losses, or apply conservation voltage reduction Simple solutions work well for simple problems. As networks and customer behaviour get more complex, we need a state estimator; as the choice of solutions gets more complex, we need on-line optimisation

Siemens Autonomous Substation Controller Active Network Management based on real time state estimation and closed loop online optimization GUS Applications System Spectrum PowerCC CFE DNA SCADA GUS Controller SICAM 1703 ACP AK Data concentrator VVC Cell optimisation DSSE / DSPF Modelling Thermal modelling IMM Topology processing C o m u n i c a t F r E d I f M e l g RDC Siemens Autonomous Substation Controller Battery capacity management Thermal modelling Local voltage Local thermal Capacitor control OLTC AVC L p s Other applications There’s a range of solutions on the market, and a range deployed on the Northern Powergrid network. All of them perform the same function, bringing in real-time information and sending out real-time set-points. The difference is in the complexity of the black box which sits in the centre of the web The solution we’re working on with Siemens represents the most sophisticated and complex kind of black box. That complexity brings its own challenges, but it is powerful and flexible Having a state estimator means that we don’t need to work out in advance where constraints will arise, and then put monitors there. So long as we make sure that we have measurements from the source substation, the system is resilient to loss of communications from remote monitoring Having an on-line optimisation routine means that we don’t have to work out in advance how best to address any given constraint, so the system can solve problems that we hadn’t thought of Being able to optimise means we can also look to minimise operational costs, reduce network losses, or apply conservation voltage reduction Simple solutions work well for simple problems. As networks and customer behaviour get more complex, we need a state estimator; as the choice of solutions gets more complex, we need on-line optimisation

Application area benefitting from Smart Metering Data: Load Profile Data  Analyze & Optimize Distribution Network Analysis (DNA) Secure service restoration – load flow calculation for intermediate / new grid topology Secure renewable integration – optimal control of generation, storage, load avoiding overloads and voltage profile violations Quality of application results depends on quality of input data e.g. individual end-customer daily load profiles (kWh, 15-min) aggregated service transformers (secondary distribution transformers) daily load profiles (kWh, 15-min)

Enterprise Service Bus MDMS communication Head-end Vendor C Head-end Vendor B Head-end Meter Data Management System (MDMS) - Storage - Enterprise Service Bus Web services Publish/subscribe Request/respond International standards: Common Information Model (CIM) IEC 61968 IEC 61970

Enterprise Service Bus Control Center integration applying Service-Oriented Architecture (SOA) Basis for future-oriented smart grid control Interactive Voice Response Meter Data Mgmt Work Force Mgmt Customer Inform. Sytem Geographical Inform. System Asset Mgmt Weather Forecast Network Planning SAP Enterprise Service Bus Distribution load flow calculation, grid optimization and what-if studies Base functionality: data model, UI, SCADA, archive Systematic outage management for faster and more secure restoration HIS IMM GDIM OM CM TCM DNA TS Spectrum Power High Speed Bus (SCADA) Communication with substation RTU/SAS and other control centers Base UI SCADA ICCP IFS

Smart grid SCADA control centers leveraging data from AMR Conclusions Integration of SCADA, Outage Management and Grid Analysis & Optimization Common Web-based User Interface Use of GIS as data master Data from AMR supports Outage Management – Fault Location Secure Service Restoration, Renewables Integration & Loss Minimization Data exchange through web services (SOA) Future-orientation by use of international standards IEC 61968 and IEC 61970 (CIM)

Successfully implemented – today. Intelligent control center technology Successfully implemented – today. Infrastructure & Cities Sector – Smart Grid Division

Contact page John Doe Job title Group / Region / Department XY Street 123 12345 City Phone: +49 (123) 45 67 89 Fax: +49 (123) 45 67 89 Mobile: +49 (123) 45 67 89 0 E-mail: john.doe@siemens.com Dr. Roland Eichler Head of Technical Sales IC SG EA SOL GS Humboldtstrasse 59 90459 Nuremberg Phone: +49 (911) 433 8393 Fax: +49 (911) 433 8181 Mobile: +49 (173) 296 1237 E-mail: roland.eichler@siemens.com Answers for infrastructure and cities.

Spectrum PowerTM 7 - Advanced DMS Outage Management – Outage Prediction (simplified) 110 kV T1 T2 Substation Substation Transformer Substation Transformer CB1 CB2 20 kV FT1 CB3 Single customer call or ‚no power‘ indication from meter 10 6 T3 T4 Predicted Local Service Outage Confirmed Local Service Outage F1 S1 Field crews verifies the outage & operator changes outage status. T5 T6 T7 2 7 3

Spectrum PowerTM 7 - Advanced DMS Outage Management – Outage Prediction (simplified) 110 kV T1 T2 Substation Substation Transformer Substation Transformer CB1 CB2 20 kV FT1 CB3 Several customer calls Several customer calls 10 6 T3 T4 F1 Confirmed outage at protective device Predicted outage at protective device S1 Field crews verifies the outage & operator updates switch position T5 T6 T7 2 7 3

Active Network Management Smart voltage control and conservation voltage reduction Q Q Generators I R+jX R+jX R+jX R+jX Line Sections Consumers Q Voltage Consumers & distributed generation no control Vmax with transformer tap control with storage control There’s a range of solutions on the market, and a range deployed on the Northern Powergrid network. All of them perform the same function, bringing in real-time information and sending out real-time set-points. The difference is in the complexity of the black box which sits in the centre of the web The solution we’re working on with Siemens represents the most sophisticated and complex kind of black box. That complexity brings its own challenges, but it is powerful and flexible Having a state estimator means that we don’t need to work out in advance where constraints will arise, and then put monitors there. So long as we make sure that we have measurements from the source substation, the system is resilient to loss of communications from remote monitoring Having an on-line optimisation routine means that we don’t have to work out in advance how best to address any given constraint, so the system can solve problems that we hadn’t thought of Being able to optimise means we can also look to minimise operational costs, reduce network losses, or apply conservation voltage reduction Simple solutions work well for simple problems. As networks and customer behaviour get more complex, we need a state estimator; as the choice of solutions gets more complex, we need on-line optimisation VN with VAR control (generators, capacitor banks) with load control Vmin smart control – combination of control devices Line length smart control – conservation voltage reduction (CVR)

Spectrum Power™ Based on standards for smooth & riskless interfacing Enterprise Service Bus High Speed Bus Spectrum Power™ Based on standards for smooth & riskless interfacing External applications DMS System Interfaces for Distribution 61968 61970 EMS Application Program Interface Spectrum Power 61850 60870-5 60870-6 OPC RTU / Substation Control Center Ind. Autom. Infrastructure & Cities Sector – Smart Grid Division

Spectrum PowerTM 7 - Advanced DMS Outage Management in ADMS Landscape The Outage Management is an integral part of the Spectrum PowerTM 7 Advanced Distribution Management System (ADMS) Customer Information System Mobile Workforce Management Geographic Information System (GIS) Advanced Metering Infrastructure (AMI) Interface & Services Interface & Services Interface & Services Interface & Services Distribution SCADA Distribution Network Applications Outage Management (OM) Base System Enterprise Service Bus Adapter Service SCADA IMM HIS TNA FA System Information Geographical Management Relationship Customer Planning Resource Enterprise Easy to integrate into enterprise IT based on Enterprise Service Bus Field Equipment Electr./Gas/Water/Heat

AMR configuration & communication Head-end Vendor C Head-end Vendor B M x 100,000 terminal devices N x 1,000 transformer stations x substations Control center Level 1 Level 2 Level 3 LV-DLC MV-DLC FO/copper/radio Dial-up-traffic FO Head-end Meter Data Management System (MDMS) - Storage -