Maintaining Grid Stability while Integrating Variable Renewable Energy Sources in Eastern Japan Monitored by the PI System Infrastructure

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2 Maintaining Grid Stability while Integrating Variable Renewable Energy Sources in Eastern Japan Monitored by the PI System Infrastructure - National R&D Project in Japan - Presented by Nobuyuki Hayasaki ITOCHU Techno-Solutions Corp.

3 Agenda About Us -Itochu Techno-Solutions Corporation Background -Current power grid situation in Japan Challenge -Variable renewable energy integration in Japan Solution -How we use the PI System Results -Accuracy & Issues Next Steps Conclusion 3

4 About Us : Itochu Techno-Solutions Corporation US Our 4

5 About Us : Science & Engineering Systems Div. 5

6 Cumulative(GW) Background in Japan : Renewable energy Booming Government promotes renewable energy integration after Great East Japan Earthquake in We need to balance renewable energy integration with the grid stability. (GW) Due to Feed in Tariff (FIT) since 2012 Transition of cumulative installed capacity of PV Approved 2012: PV: \40/kWh( 40cents/kwh), Wind: \22/kWh( 22cents/kWh) 2015: PV: \27/kWh( 27cents/kwh), Wind: \22/kWh( 22cents/kwh) In Operation Transition of cumulative installed capacity of wind power Annual(MW) Cumulative(GW) Annual(MW) Fiscal Year (Source: Renewable market trend in Japanese, METI, March 2015) Under development : +5.0 GW Year 6

7 Background in Japan : Current situation of power grid Operating Capacity is calculated on weekday daytime in August 2016 九州 KYUSHU 15.18GW 沖縄 OKINAWA 1.43GW 5.56GW 2.53GW 0.53GW 直流 (DC) 交流 (AC) 3.80GW Thermal Capacity 1.90GW Operating Capacity 1.50GW Operating Capacity 中国 CHUGOKU 10.56GW 2.40GW 1.20GW 1.20GW 四国 SHIKOKU 5.04GW 16.66GW 4.05GW 2.78GW Bottlenecks in interconnections between balancing areas 5.56GW 1.30GW 1.62GW 関西 KANSAI 26.34GW 1.40GW 1.40GW 1.40GW 5.56GW 2.50GW 1.92GW 北陸 HOKURIKU Hokuriku 5.27GW 0.30GW 0.30GW 0.30GW 中部 CHUBU 24.28GW 60Hz 60Hz 50Hz 1.20GW 1.20GW 1.20GW 北海道 HOKKAIDO 4.32GW 東北 TOHOKU 13.09GW 東京 TOKYO 52.47GW 0.60GW 0.60GW 0.60GW 12.62GW 0.61GW 4.85GW High Wind Potential Areas Major Demand Area Box value(52.47gw) : Maximum power forecast for net output of 3days average Source: OCCTO(2016) es/01_unyouyouryou_besshi.pdf 7

8 Challenge -Variable Renewable Energy Integration in Japan Primary challenges to the grid at different time-scales: Variability in VRE generation (seconds - hours) VRE generation is strongly influenced by weather Uncertainty in VRE generation forecast (hours - days) Large ramping events are of primary concern. Uneven geological resource availability (years-into-future) may be far from load-centers, and require new/upgrading regulating/operating reserves and transmission capacity. Ryuya Tanabe, Outline of National Project on Research and Development of Simulation and Analytical tools for Renewable Integration (Sari), IEA WIND Task 25 18th Research Meeting 8

9 Solution -Variable Renewable Energy Integration in Japan 1. R&D Project on Grid Integration of Variable Renewable Energy (VRE) has started since Aug Develop the technologies of Forecasting, Control/Curtailment, Power system operations for the integration of variable renewable energy. 3. Use a Real-time data infrastructure using the PI system to store the VRE data such as Wind, PV power output, SCADA*, and wide-area weather data in eastern Japan. *SCADA: Supervisory Control And Data Acquisition 9

10 Solution -R&D Project on Grid Integration of Variable Renewable Energy Project name R&D Project on Grid Integration of Variable Renewable Energy : Mitigation Technologies on Output Fluctuations of Renewable Energy Generations in Power Grid Project period FY2014~FY2018 (5years) Project organization 14 groups (Universities, Foundations, Companies) commissioned by NEDO which promotes technology development for renewable energy in Japan. introducing_index.html 10

11 Solution -Variable Renewable Energy Integration in Japan 1. R&D Project on Grid Integration of Variable Renewable Energy (VRE) has started since Aug Develop the technologies of Forecasting, Control/Curtailment, Power system operations for the integration of variable renewable energy. 3. Use a Real-time data infrastructure using the PI system to store the VRE data such as Wind, PV power output, SCADA, and wide-area weather data in eastern Japan. *SCADA: Supervisory Control And Data Acquisition 11

12 Solution -Develop the techniques of Forecasting, Control, Power system operations Forecast of variable renewable energies, Control of power output fluctuation with combination of energy storage, and Operation adjustment of large scale generators and batteries will optimize power system operation 1: Optimization by VRE Forecast 2: Optimization by Control for VRE Variable output of Wind power Variable output of PV power Variable output of the other RE Adjustment of large generators and batteries Power System Operation (demand/supply and frequency adjustment) Transmission grid 3. Optimization by Operation of thermal power, battery and etc. 12

13 Solution -Variable Renewable Energy Integration in Japan 1. R&D Project on Grid Integration of Variable Renewable Energy (VRE) has started since Aug Develop the technologies of Forecasting, Control/Curtailment, Power system operations for the integration of variable renewable energy. 3. Use a Real-time data infrastructure using the PI System to store the VRE data such as Wind, PV power output, SCADA*, and wide-area weather data in eastern Japan. *SCADA: Supervisory Control And Data Acquisition 13

14 Solution Real-time data infrastructure using the PI System Collected real-time data in Eastern Japan Monitoring Network for Wind Farm more than 40 sites Substation for wind farm MW and MVAR values SCADA data for wind turbine Power output, Nacelle wind speed, etc Met Mast / Wind Lidar Wind Speed, Wind direction, Temperature, Pressure, Humidity Monitoring Network for Wide Area Weather Weather data network for 115 stations Japan Meteorological Agency (JMA) data for 400 stations Wind Speed / Direction, Temperature, Pressure, Humidity Currently use over 40,000 tags 14

15 Solution Real-time data infrastructure using the PI System SCADA Transmission System Wind Lidar (WindCube) Wind Farms In Eastern Japan Met Mast (60m Height) Met Station 15

16 Solution Real-time data infrastructure using the PI System Temperature Wind Speed Wind Direction Surface Weather Stations in Eastern Japan 16

17 Monitoring Network for Wide Weather Monitoring Network for Wind Farm Solution Real-time data infrastructure using the PI System IoT Cloud System SCADA Sub Station Met Mast, LIDAR Surface Met (Private Business) Surface Met (Japan Met Agency) Internet VPN ITOCHU Techno-Solutions Corp. Data Center Real-time data PI System Data aggregation Data relay PI to PI Private Line (20MBPS) Institute of Industrial Science, University of Tokyo Data Center PI System Visualize Analyze Forecast 1 Forecast N 1 N Forecast System Integration of Multiple Forecasts Store long-term Data Visualize by PI ProcessBook, PI Coresight Analyze by PI DataLink Grid Operator Internet VPN Researcher Engineer 17

18 Solution PI System Architecture ITOCHU Techno-Solutions Corp uses: PI Asset Framework (AF) to manage data PI Interface for Universal File and Stream Data (UFL), to store power & meteorological data Notifications to inform us about ramp of wind power output on the grid PI ProcessBook for real-time monitoring PI DataLink to use data in Microsoft Excel (Engineering analysis) OSIsoft vcampus (To develop ITOCHU needs) ITOCHU Techno-Solutions Corp upgraded PI Server

19 Solution Forecast Wind Power (PI ProcessBook on PI Coresight) Ramp Alert Actual Data Wind power Forecast (Future Data) Confidence interval 95% 19

20 Solution Visualize by PI Coresight 20

21 Solution Analyze by PI DataLink 21

22 Solution PI AF architecture PI AF architecture is very important for us to work effectively: Enable to create templates Allow rollup calculations Create graphical templates in PI ProcessBook rollup Apply Template 22

23 Results Accuracy of current wind power forecast Japanese wind power forecast accuracy is not so bad. CAISO JAPAN(Tohoku) 442MW, MAE=7.5% ERCOT SPAIN Germany However, large forecast issues remain when wind power output ramps. Source: JOHN ZACK, WIND PLANT FORECASTING:STATUS AND CHALLENGES, California Wind Energy Collaborative Forum, April 5,

24 Results Issue of current wind power forecast Large forecast error happens when low pressure system passes Wind power ramp forecast needs to be improved 11/27 3:00 11/27 9:00 24

25 Next Steps Optimization by forecast, control, and operation in power system will be promoted in order to integrate massive renewable energy sources in Japan. 1: Optimization by VRE Forecast 2: Optimization by Control for VRE Variable output of Wind power Variable output of PV power Variable output of the other RE Adjustment of large generators and batteries Power System Operation (demand/supply and frequency adjustment) Transmission grid 3. Optimization by Operation of thermal power, battery and etc. 25

26 Next Steps We will expand our business by combining our technologies and PI System infrastructure in the electric power system reform. IoT Cloud system Advanced Analysis Power Forecast Integrated database Past Real Time Future ITOCHU Value PI system Renewable energy integration For TSO, RE IPP (Wind, Solar,...,etc) Improve Data Availability Improve Productivity Improve Profitability 26

27 Conclusion Variable renewable energy (VRE) sources are integrated rapidly into power grids in Japan. In order to maintain power grid stability, we will take advantage of massive IoT data such as power output, SCADA, wide-area weather to improve VRE generation forecast technology. Ramp forecasting technologies are under development. Wind / Solar power ramp forecast Reliable confidence interval for forecast PI Infrastructure is an essential platform to take advantage of massive IoT data. Integrated database for big data Real time monitoring Analysis Forecast 27

28 Contact Information Nobuyuki Hayasaki General Manager ITOCHU Techno-Solutions Corp. 28

29 Questions Please wait for the microphone before asking your questions Please remember to Complete the Online Survey for this session State your name & company search OSISOFT in the app store 29

30 Thank You

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