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Towards a smarter grid Combining technology, policy and regulation
 

Towards a smarter grid Combining technology, policy and regulation

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Dr. Shailendra Fuloria

Dr. Shailendra Fuloria
Manager - Smart Grids,
ABB Ltd, India
at RPR 2012, 23-26 August, Goa, India

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    Towards a smarter grid Combining technology, policy and regulation Towards a smarter grid Combining technology, policy and regulation Presentation Transcript

    • Dr Shailendra Fuloria, Manager – Smart Grids, ABB Ltd , India 26th Aug, 2012Towards a smarter gridCombining technology, policy and regulation
    • India Power sector scenarioFast capacity addition, loss reduction, inefficient consumption Installed generation capacity (GW) Transmission Network (x1000 ckt kms) >= 66kV 304 359 385 394 402 409 206 2002 2007 2008 2009 2010 2011 174 159 148 143 132 < 66kV 105 5726 6581 6902 7079 7094 7392 2002 2007 2008 2009 2010 2011 2012 2002 2007 2008 2009 2010 2011 Per-capita electricity consumption (kWh) Electricity to produce 1$ of GDP (kWh) 779 813 717 733 Improving Delivery efficiency 672 0.72 0.70 0.69 0.68 0.66 0.66 Reducing Consumption efficiency 0.59 0.56 0.54 0.53 0.50 0.50 2007 2008 2009 2010 2011 FY2007 FY2008 FY2009 FY2010 FY2011 FY2012 Consumption Generation© ABB GroupAugust 31, 2012 | Slide 2 Source: Ministry of Power, ‘Growth of Electricity Sector in India from 1947 – 2011 ’
    • Installed generation capacityDemand-supply gap despite substantial capacity addition Installed generation capacity (GW) Peak Demand vs Demand Met (GW) 19.68% Peak Demand Demand Met 218 301 175 10.6% 200 130 174 122 119 116 159 110 110 109 148 104 143 101 97 132 91 87 Mar-07 Mar-08 Mar-09 Mar-10 Mar-11 Mar-12 2017 2006-07 2007-08 2008-09 2009-10 2010-11 2011-12 2016-17 • Installed capacity to double between 2010 - 2017 • Peak supply-demand gap expected to increase from 10.6 to 19.68% • Need policy support towards ‘time-of-use’ tariffs Strong driver for ‘Demand Response’© ABB GroupAugust 31, 2012 | Slide 3 Source: Ministry of Power, ‘Growth of Electricity Sector in India from 1947 – 2011 ’, CEA reports
    • T&D losses among highest in the worldPotential to save over 10 BUSD per year Transmission & Distribution losses (percentage) 10.1 15.8 24.0 13.1 7.4 8.9 6.3 7.1 5.4 6.2 5.2 3.8 7.6 6.1 9.0  Average T&D losses (2010-11) = 24%  approximately 13 BUSD loss  Money saved if T&D losses are equivalent to Korea = 10.77 BUSD  Money saved if T&D losses are equivalent to World average = 8 BUSD© ABB GroupAugust 31, 2012 | Slide 4
    • Renewable potentialSustainable integration of renewables a driving factor Renewable installed generation (GW) 44 39 35 31 28 25 2012 2013 2014 2015 2016 2017 More than 80% generation is concentrated in the following 5 states Leading States Installed Generation (MW) Tamilnadu 7338.01 Maharashtra 3630.05 Gujarat 3498.64 Karnataka 3183.23 Rajasthan 2365.55© ABB GroupAugust 31, 2012 | Slide 5
    • Strong drivers towards a new type of power systemsConsequences Conv. System Driver Transmission Distribution Application generation operation  FACTS Remote, bulk  Long dist. transm.  Stabilization generation with FACTS  Overlay grid/ HVDC  Communi-  Automation Distributed cation  Voltage generation  Control regulation  VPPs1  High effi-  Trans-regional  Storage (in leveling  Demand Volatile ciency all over  Distributed applications) response generation output range  Overlay grid/ HVDC storage  Demand  VPPs1  Flexibility  Bulk storage response Cost pressure,  Automation  Automation ageing infra-  Demand  Asset health  Asset health structure, response reliability management management New loads  Charging  Demand (E-mobility) infrastructure response© ABB Group 1 VPP: Virtual Power PlantAugust 31, 2012 | Slide 6
    • From traditional to smart grids  Centralized power generation traditional grid  One-directional power flow  Generation follows load  Top-down operations planning  Operation based on historical experience  Centralized and distributed power generation smart grids  Volatile renewable power generation  Multi-directional power flow  Flexibility in demand – load follows generation  Operation based on real-time data© ABB GroupAugust 31, 2012 | Slide 7
    • Smart Grid is also a regulatory and policy issueMany players need to be informed consistently political leaders Smart Grid as key to achieve consumers / voters / NGOs electricity targets government departments, regulators parliaments legal framework utility CEOs, boards investment plans to support business targets technical and sociable solutions to achieve targets© ABB GroupAugust 31, 2012 | Slide 8
    • Smart Grid, a puzzle based on:An evolution challenging the entire power system (OT) Increased transfer capacity and Connecting large Energy storage scale renewables Charging Improved Active consumer infrastructure control of the Micro generation E-mobility distribution system Increased need Improved Improved of balancing control and security power quality power of the network Business models Policy Standards Regulation© ABB GroupAugust 31, 2012 | Slide 9
    • IT becoming more prominent in power systemsSmart Grid IT solution map Physical Asset & Work Mgmt. Mobile Workforce Mgmt. Customer Mgmt. Asset Mgmt. -Operations Mgmt. Forecasting & Planning Customer Information -Supply Chain -Safety & Compliance Scheduling & Dispatch Billing Management -Work Mgmt. Mobile Work Execution Call Center Management Network Management Systems SCADA: Supervisory Control & Data Acquisition Generation Coordination & Control -Security Control & Assessment -System Monitoring -Automated Generation Control -Switching Control -Switching Orders -Real Time Market Communications -Transmission Coordination -Reliability Control -Control Area Function -Reliability Management -Volt/VAR Optimization Energy Commercial Operations Energy Planning & Analytics Forecasting & Analysis -Market Data Intelligence Load & Rev Forecasting -Unit Optimization & Bidding Market Price Formation -Advisory Energy Consulting Demand Response -Physical Scheduling -Portfolio Analysis and Planning Trading & Risk Mgmt -Market Comms & Settlement Smart Grid Operations© ABB GroupAugust 31, 2012 | Slide 10
    • Integrating Operations Technology with IT© ABB GroupAugust 31, 2012 | Slide 11
    • Efficient generation, transport and better utilization ofelectricity Commercial Primary energy Transport Generation T&D Industry Residential 30 % saving 80 % lossesAvailable energy Improved well Improved More efficient Lower line losses, efficiency pipeline flows higher substation Improved fuel combustion efficiency productivity Building management Energy efficiency along the value chain can reduce losses by 30 percent *Source: European Commission© ABB GroupAugust 31, 2012 | Slide 12
    • Integrating supply and demand sideMEREGIO – Minimum Emission REGIOn, Germany  Develop and install a complete IT- system covering automated meter reading (AMR), remote control for distributed generation (DG), communication infrastructure, network control system and accounting system in a distribution network area of EnBW in Karlsruhe (Germany)  Optimize spinning reserves with increased amount of renewables  Reduce transmission losses  Demand response (regulatory demand) - real time price information  Optimize electricity consumption – home automation© ABB2011-10-25SG_IntroABB_20110502.ppt |GF-SG | 13
    • Minimum Emission Regions (MEREGIO)System-StructureE-EnergyMEREGIO Market Place Billing market place / System-Structure energy / balancing power / services commercial Variable Tariffs systems Certification CO2-Emissions of network ABB-Parts Billing operator Milestones Market Place CORE network usage andChallenges of smart- ancillary services Plattform ancillary servicesgrid projects MiddlewareSummary technical systems Network Control Interface to of network SCADA and operator network applications Smart Meters Distribution Autom. RTU, communication bay level Smart Meters Smart Meters customers Generation / Storages Consumption Web-Services / E-Mail Web-Services / E-Mail © ABB Group August 31, 2012 | Slide 14
    • Stockholm Royal Seaport project - SwedenTargeting 1.5 t CO2 per annum per capita by 2020 and neutralityby 2030… Customers • Fortum (a leading Nordic energy company) • Stockholm Municipality Focus areas • Efficient energy use • Environmentally efficient transports • Local recycling • Environmental life styles • Regulatory framework Project highlights • Timeline: 2010 – 2030 • Scope: 10,000 apartments, 30,000 workplaces and required infrastructure • The first installation of secondary substation according to Smart Grid specifications is planned for 2012 • First set of apartments will be ready to move in by Q1 of 2013 • Integrated functional tests: Q2 of 2013© ABB GroupAugust 31, 2012 | Slide 15
    • Karnataka Power Transmission Corporation LimitedIntegrated Extended SCADA  Designed to be the largest EMS & DMS data handling SCADA project in the world  First project in India covering Entire State Electricity Network of Generation, transmission & Distribution  First SCADA Project implementation in India with MFTDMA VSAT Communication, connected to 867 Locations across Karnataka through INSAT 3A with communication bandwidth of 11.5 MHz. Another 450 locations added subsequently  First SCADA Smart Grid Project implementation in India with SCADA/EMS/DMS/ Energy Billing, Energy Auditing & ABT Meter Interface© ABB GroupAugust 31, 2012 | Slide 16
    • Conclusions  Smart Grid is the evaluation of todays systems and the enabler for a more sustainable energy system with a more consumer driven electricity market which includes:  integration of renewable energy sources, efficient energy consumption, AMI etc.  Both transmission and distribution  both automation/IT and power devices  both technology, business models and regulatory/market frameworks  Smart Grid is still a learning process. An important arena to develop and demonstrate solutions for the future power system together with all stake holders including authorities and end users  Most of the components and systems needed exists today but new standards must be developed  Everyone has to reconsider the individual energy consumption behavior