Opportunities and Challenges for Smart Grid in Japan. March 8, Shuichi Ashidate

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1 Opportunities and Challenges for Smart Grid in Japan March 8, 2016 Shuichi Ashidate Vice President of TEPCO Research Institute Tokyo Electric Power Co., Inc. TEPCO All Rights Reserved, March 8, 2016

2 Capacity of Renewables in Japan [GW] 87.7GW 20.6GW 18.8GW PV PV(residential) (Residential) PV PV(non-residential) (Non-Residential) Wind Power Small Hydro Biomass Geothermal Installed Capacity Installed Capacity Approved Capacity Before FIT (~2012.6) After FIT (2012.7~2015.3) 1

3 Structural Challenge of Future Utility Environment Policy Distributed Generation Energy Efficiency Decrease in Population Structural Change in Industry Decrease in Sales and Load Factor Increase in Aged Infrastructure Further Increase in Distributed Energy Raise of Retail Price Customer Reaction Further Energy Saving 2

4 Smart Grid for a futuristic energy infrastructure Wind Organization for Cross-regional Coordination of Transmission Operators (under construction) Power Line ICT Wide area network 50Hz Area Wide-area operation Mega Solar Speedy Deployment of smart meters Increase of wide-area interconnection capacity 60Hz Area DC Connecting Transmission System Central dispatch center Next-generation monitoring/control technology Integration of Large-scale RE S/S Distribution System EV Smart Meter EV Charger Battery ICT Control Center Overseas International contribution Nuclear Hydro Thermal Upgrading transmission and distribution network Coordination Renewable Demand Response Smart Community, BCP enhancement 3

5 Future Smart Grid 3.0 in 2020 Realization of secure, safe, and comfortable Smart Society by realizing the Smart Grid through the digital integration Whole optimization and high value-added creation High reliable inter-connectibility of systems and Standardization of data structure Utilizing Big Data Cyber security Cooperation and optimization with centralized power plants, distributed power plants, and electricity apparatus of customers Participation of various players such as system operators, retails, consumers, resource aggregators 4

6 Integrated Solutions are Needed Market and Regulation Cyber Space Hardware and Devices Generation T&D Customer Decomission Renewable Energy Robotics (Climate Change Policy) Wholesale Market Capacity Mechanism DR Transmission and Distribution Code, Tariff IoT (Integration of IT and OT) Smart Grid Diagnosis, Asset Management, Optimization Material Technology Superconductivity HVDC Pricing Behavior Analysis Energy Storage Smart House EV 5

7 Verification of Coordinated Control of RE and Demand side devices 6

8 Demonstration Project on the Island Verification of the Power Network System, which maximize output of Renewable Energy Renewable Energy Distribution Network Communication Network Energy Storage Control/Suppress Control Center Prediction Supply-Demand Control Output Fluctuation Ramp Compensation Supply Capacity Adjusting Capacity for Frequency Control Generator & Battery 7

9 Diesel Generator 7,700kW 2,500kW, 2,000kW 1,200kW, 1,000kW*2 Demonstration Project on the Island PV9kW + Energy Storage12kWh WT300kW*2 + Energy Storage500kWh Energy Storage 500kW*2 Energy Storage Energy Storage Heat Pump PV9kW + Energy Storage12kWh PV315kW PV9kW + Energy Storage12kWh WT:Wind Turbine PV:PhotoVoltaic 1 2km 11

10 Demonstration Project on the Island Development of Integrated EMS for Niijima island Existing System Demand Prediction DG control panel control monitor DG (Diesel Generator) G Prediction of outputs and fluctuations of RE Optimal Economical Operation of DG New DG control Panel Meteorological Information Development of Integrated EMS Integrated control of energy storage (battery, time shift) Control of outputs of Renewables Large Battery (Grid Side) Battery (Customer Side) Large Heat Storage EV PV WT Small PV (Customer Side) 12

11 Schematic view of output curtailment system Utility (Central Dispatch Center) Prediction of electric power demand Power generation plan Prediction of the output of PV power plants Calculation of the possible capacity for PV power plants etc... Determination of curtailment amount for PV power plants Server Scope of Demonstration Communication Network Telecommunication and control unit PV Power Plant PCS (Solar inverter) PV Panel 10

12 Battery SCADA Control room Battery Containers Battery SCADA Lithium ion Batteries 11

13 Deployment of Smart Meters Installation Schedule Advanced services using meter data 集約装置 <A ルート > Smart Meter B-route to communicate between smart meter and HEMS HEMS Home appliances Devices for visualizing Energy Consumption 12

14 Research on Introducing Dynamic Pricing for Residential Customers Measurement and Verification of Demand Response (DR) in the Yokohama Smart City Project (YSCP) < DR for Residential Customers in YSCP> DR Signal Measured Data Average peak cur efforts of 14.9% by DR trial (2014) Server kw B root HEMS In-Home Displays Peak Time Time Smart Meter Household number: 3,500 CPP(Critical Peak Pricing) PTR(Peak Time Rebate) Yen/kWh kw Customers are Provided a Rebate for Reductions in Consumption. Time Peak Time Peak Time Time 13

15 Electric Vehicles and Quick Chargers EV (under quick charging) CHAdeMO Connecter Quick Charger 14

16 Wind Power Generation on the ocean 100m The height from sea level to top of blade is 126.0m Wind observation tower Wind Turbine (be started generation in Jan 2013) Wind Turbine which endures a typhoon (Very large typhoon No.26 in 2013) 15

17 Concluding Remarks We, major core Japanese entities, have been demonstrating various national projects in order to establish smart grid technologies to solve the issues caused by massive integration of the renewable energy while referring both the efforts of massive introduction of renewable energy and the examination of the electric power system reform in Europe and U.S.. We would like to contribute to establish smart islands or smart cities overseas, along with the grid technologies which is the core technology in TEPCO. 17

18 Situation of PV and Wind Power Installation in Japan Peak Demand Capacity(appl.-base) Renewables / min. peak demand[%] HOKKAIDO 72% STOP TOHOKU KANSAI HOKURIKU 88% 18% 19% STOP CHUGOKU 47% TOKYO 112% 31% KYUSYU STOP 45% 27% STOP CHUBU SHIKOKU 17

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