Intelligence Counts Grid management services Andreas Bentz I October 2012
Energy sector: What are the challenges of today and tomorrow? Climate change Energy awareness The energy sector is facing dramatic change EU regulation Rising energy prices Cost pressure Market liberalization Distributed & volatile renewables Energy theft Mass data handling Customer loyalty and services Digitalization of the energy sector Regulation Distributed energy resources Security and data privacy From 1 to 35,000 data points/meter/year New products & tariffs, CRM/Billing systems & processes, rising churn "Connect the unconnected" Cost-effective compliance with increasing regulatory requirements incl. unbundling, customer switching process Dramatic requirements on energy distribution networks with prosumers, volatile renewables, e-mobility Security as key issue and challenge October 2012 2
Grid management: What are the answers? Climate change Energy awareness The energy sector is facing dramatic change EU regulation Rising energy prices Cost pressure Market liberalization Distributed & volatile renewables Energy theft Services for decentralized energy resources and loads Providing a communication platform to enable monitoring & control of energy resources and loads Enabling the operation of virtual power plants out of the cloud Providing services for procurement optimization, forecasting and prognosis Operating a demand response management system Services for distribution network automation Providing a communication platform to enable monitoring & control of secondary substation Providing photovoltaic services including Metering of PV generation Real time measurement of power quality indicators Forecasting/prognosis October 2012 3
Deutsche Telekom is positioned as the best partner for the energy sector. "Best partner for the energy sector" Energy industry solutions Energy management solutions Enabling energy platforms & solutions Traditional DT core competencies IT Telecommunications Vision Ambition Strategic corner stones Best ICT partner for the energy sector Become the leading ICT player for energy solutions by 2015 Achieve EUR 1bn sales across DT intelligent networks by 2015 1 Energy industry solutions Energy industry platforms Convergence of energy & ICT Energy management solutions Cities & enterprises Property management End-users (B2B2C) 1 Intelligent networks: Energy, Health and Connected Car October 2012 4
annual Zubau increase MW in MW installierte Leistung in MW accumulated installed generation power in MW annual Zubau increase MW in MW installierte Leistung in MW accumulated installed generation power in MW Why Smart Grids? Groundbreaking changes in the generation matrix 3500 3000 2500 2000 1500 1000 500 Zubau annual increase installierte Leistung installed power wind 0 0 1991 1994 1997 2000 2003 2006 2009 Quelle: Bundesverband Windenergie e.v. 30000 25000 20000 15000 10000 5000 0 2000 2002 2004 2006 2008 Strong uptake of distributed generation (esp. CHPs and photovoltaics) Overall increase on volatile generation 4000 3500 3000 2500 2000 1500 1000 500 solar annual increase installed power 2010 17.300 MW Zubau installierte Leistung 12000 10000 8000 6000 4000 2000 Quelle: Bundesverband Solarwirtschaft e.v. 0 2011 24.800 MW October 2012 5
Renewable energy from volatile sources Consequences for the Distribution Network Heterogeneous environments require flexible communication Decentral generation from various sources New consumer types e.g. electro mobility increasing complexity for remote sensing and -control Volatility of the generation Voltage instability, Frequency instability inclusion of demand side into the system balance Increasing number of active network components Secondary substations, decentral generation/load control secured communication deeper into the grid Key issues: flexibility, scalability, economic viability and security October 2012 6
Management of Distributed Energy Ressources and Loads. Analysis of the economical potential of five Use-Cases. Purchasing/Schedule optimization Trading of Reserve Energy Peak Shaving Management of Balancing Groups Reductions of Renewable Shutdowns October 2012 7
Management of Distributed Energy Ressources and Loads. Use Case Peak Shaving Power Acquisition Single Peaks in Power Acquisition can result in significant rise of acquisition cost. MWh h Loadpeak with VPP Reduction of the acquisition peak Loadpeak without VPP Required minimal capacity VPP time Source: ABB-Study, RWTH Aachen (2011) October 2012 8
Management of Distributed Energy Ressources and Loads. End to End Management of Communication and Applications. Operation Parameters Consumptio n SM Renewables Metering Service- IP-VPN Gateway Energy Service Plattform - DSM Control + MDS VPP Prognosis Services for Distributed Energy Ressources and Loads SaaS provided by Optimisation Distributed Energy Ressources and Loads Management will be delivered out of the Cloud (SaaS) Smart Metering Services deliver Input Data and control the Appliances. Purchase Electricity Gas Trade Generation Load October 2012 9
Demand Side Management and Virtual Powerplants. Future Challenges Communication Standardized Interfaces (µchps, Heatpumps) Economics in Mass Markets Security and Data Privacy Centralized or Decentralized Models Virtual Powerplants vs. Microgrids Data Exchange with DSO and new Marketrolls Moderation among DSO and Supplier Realtime Data Exchange SCADA Systems for VPP-Manager High Datavolumes become manageable through Data Aggregation Complex market structures require a strict rights- and policy-management October 2012 10
Distribution Network Automation. Secondary Substation with Distributed Intelligence. Low Voltage Medium Voltage Substation Monitoring Substation Control Substation Monitoring Substation Control Substation Monitoring Substation Control SCADA System Aggregation Smart Metering EDM October 2012 11
Distribution Network Automation. Secondary Substation with Distributed Intelligence. Low Voltage Medium Voltage Smart Data Hub Substation Monitoring Substation Control Substation Monitoring Substation Control Intelligent Substation Distibuted SCADA Functions Secure Communication Substation Monitoring Substation Control SCADA System Aggregation Smart Metering EDM October 2012 12
Pilot project RiesLing with EnBW und ABB. U.I P.Q Short circuit Ground Transformer 20kV Grid management center Wide area communications network NS U Voltage I Current P Active power Q Reactive power U U.I P.Q Voltage regulator Deutsche Telekom communications platform U P.Q U P.Q U P.Q U P.Q U P.Q U P.Q U P.Q Distributed voltage measurement U P.Q U P.Q Measuring points GPRS or DSL connection Communications path Tunnel in the VPN Feeder Consumer October 2012 13
Distribution Network Automation. Future Challenges Communication Future Protocols for Fieldbus and Wide Area Network Economics in Mass Markets SCADA Security Distributed Intelligence reduces the Datenvolume Local SCADA functionality in the Distribution Grid Intelligent Agents (eenergy Projects) Data Exchange with Supplier and new Marketrolls Moderation among DSO and Supplier Realtime Data Exchange The increasing amount of active Gridelements partially with only local relevance require new Control Concepts October 2012 14
Thank you! Contact: Andreas Bentz Executive Consultant Utilities T-Systems International GmbH Tel.: +49 228-181 56302 andreas.bentz@t-systems.com
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Services for decentralized energy resources & loads. Offering DER&L Energy prognosis and optimization Energy procurement Peak shaving optimization Functional data preprocessing Managed & secured communication Load & generation monitoring Load & generation control Generation Customer Loads Ext. sources weather, EEX, Benefits and value of peak shaving Early detection in case of exceeding contracted reference power Power prognosis (nominal value) Monitoring of actual power (as-is value) Collective and scalable addressing of power generation and controllable loads Avoids contracted values being exceeded Results are usable for network planning Benefits and value of energy procurement optim. Optimization of energy procurement Management of a virtual power plant to maximize profit and reduce risks Provides the basis for a qualified make-or-buy decision Calculates energy production costs Provides an optimal energy procurement October 2012 20
Distribution network automation. Offering distribution network automation Functional data preprocessing Managed & secured communication Grid monitoring PQI 1 reading decentralized generation Customer Scada/ Grid control Controlling decentralized generation Features Measurement data acquisition & preprocessing Local and central controlled voltage regulation Robust and dynamic parameter setting Grid monitoring Grid control Regulation of secondary substation Benefits and value for DSOs Improve network robustness Improve quality of supply service Improve existing infrastructure Better knowledge about the network status Faster troubleshooting More options in network operation Asset optimization by investment reduction Step-by-step roll-out to optimize investment budget Network improvement for decentralized generation Avoidance of cost intensive network extension Reduction of bonded capital Revenue improvement by avoiding penalties 1 PQI: Power Quality Indicators October 2012 21
Services for Distributed Energy Resources and Loads. Web services Decentralized energy resources & loads Resource management VPP management Network hierarchy Forecasting engine VPP aggregation VPP disaggregation CRM/ Billing Post analysis MDM VPP forecast VPP dispatch Economic decisions Emissions decisions Market obligations Portfolio optimization Scheduling Bids Results Key functions Energy prognosis/forecast Procurement optimization Decision support make-or buy Management of large-scale decentralized energy resources and loads Evaluation of cost reduction Additional functions Management of rules and parameters for controlling the devices Interfaces to customer systems (MDM, CRM, ) Evaluation of the forecast quality October 2012 22
The process. Web services Decentralized energy resources & loads Resource management VPP management Network hierarchy VPP forecast Forecasting engine VPP aggregation VPP dispatch VPP disaggregation Post analysis Economic decisions Emissions decisions Market obligations Portfolio optimization Scheduling Bids Results CRM/ Billing MDM October 2012 23