Yasuhiro Hayashi. Waseda University, Tokyo, Japan

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1 2015 JST NSF DFG RCN Workshop on Distributed Energy Management Systems Development of Methodologies for Cooperative Energy Management System Using Simulation Model and Distribution NW Simulator Yasuhiro Hayashi Waseda University, Tokyo, Japan ACROSS: Advanced Collaborative Research Organization for Smart Society

2 7 Research Institutes in WASEDA Univ. Yasuhiro HAYASHI Chairperson of ACROSS Research Institute for Advanced Network Technology (RIANT) Yoshiharu AMANO Research Institute for Power and Energy Systems Shinji WAKAO Research Institute for Photovoltaic Power Generation System Yushi KAMIYA Research Institute of Electric driven Vehicles Shin ichi TANABE Research Institute for Building Environmental Design Toshiyuki OKANO The Smart Life Science Institute Ayu WASHIZU Institute for Economic Analysis of Next generation Science and Technology PA SST (Promotion Association for Smart Society Technology) Infrastructure companies Advanced research at university 17 companies Social Framework Innovation of technology fusion 18 companies SG SST (Study Group for Smart Society Technology) Manufacturing companies with various development technology Technology, Products Shinjuku EMS R&D Center Implementation to Society, National projects, etc. Creating the NEW social value from the view point of energy consumers/customers and global market

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4 Changing Role of Smart Grid after The Great East Japan Earthquake Development of EMS method cooperated with grid EMS and HEMS by simulation model and distribution NW simulator Waseda University Shinjuku EMS R&D center JST R&D Project of Advanced EMS by Japanese Universities Team

5 Changing role of Japanese Smart Grid through 3.11 in 2011 Before 3.11 For low carbon society Installation of high-efficiency of equipment & appliances Integration of renewable energy and EV/PHV Balancing demand-supply for electricity & gas etc. *The Great East Japan Earthquake Hydroelectricity Pumped-storage hydroelectricity Daily load curve + Oil After 3.11 Renewable energy (FIT in 2012) Electricity saving and peak cut Demand Response Energy Management Systems Out of service LNG, LGP, other gases Coal Nuclear power Missing significant amount of base load supply

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7 Pumped up Hydro Power Hydro Power Smart Community Smart Building Thermal Power PV Power Station Wind Farm Renewable Energy Sources Electric Power NW (Power Grid) Control by ICT Environmental Impact Energy storage Evaluation value Energy Cost Impact of Smart Grid Substation Smart meter HEMS Buildings with PV CGSBattery Battery Smart House AC PV EV HP Water Heater Fuel Cell Optimal cooperation of distributed EMSs GEMS Grid BEMS Building HEMS Home CEMS Community

8 6.6kV Voltage Advanced GEMS Upper limit Lower limit LRT, SVR LVR PV Next Day NW Load and PV Forecast Next Hour V control Parameters Plan Real Time Voltage Control Expansion of PV installation Cooperative EMS Method of GEMS & HEMS 100/200V Pricing P flow Line length Advanced HEMS Smart meter PV HEMS EV Peak shift by DR based on TOU and FIT Reverse PV power flow E V AC [W] A E C V H P HWHP time BESS INV Expansion of demand suppression 8 Demand suppression PV introduction

9 Propose of cooperative EMS method by GEMS and HEMS Forecast model GEMS/HEMS Planning model GEMS/HEMS Control model GEMS/HEMS Introduction Test Platform of cooperative EMS method Integrated simulation model Distribution NW simulator 6,600[V] Pole Transformer Load PV system 100/200[V] Grid EMS model Home EMS model System Link Real time voltage control by GEMS/HEMS Evaluation Evaluation of EMS method Evaluation Theoretical aspect Amounts of PV introduction Peak demand suppression Total demand Target value Consumer s demand PV introduction Time Practical aspect Control possibility of PV introduction Peak demand suppression

10 Unit : m G G G G G G G G G G G G G G G G G G G G G G G G G G G G G

11 PV

12 Simulator MV: 6600V 400V LV: 200V 200V

13 [V] [V] [kw] Tap Position? Proposed voltage control [s] Conventional voltage control PV, Load profile SVR tap, LVR tap position by proposed control? Start Voltage Control!!

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15 25 companies (JPN) SEP2.0(US) (EU)

16 Demand Response Automation Servers (Open ADR 2.0b) Smart Houses Smart Meters HEMS Distribution Network Simulator :ANSWER Room AC PHV/EV Charger Distribution Board Fuel Cell HP Water Heater Battery PV inverter system

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19 Power Supply Control CenterTEPCO DR management server Connect to Aggregator DR signal Aggregator DR system WASEDA Univ. Shinjuku EMS R&D Center DR signal ADR signal Incentive DR ADR Field Trial Kitakyushu City EMS Keihannna City EMS ADR signal DRAS (Utility role) <Standard ADR test site> Connection to Four Smart City Projects Four major city EMS field trial Toyota City EMS HEMS Interoperability Demonstration ADR signal DRAS (Utility role) DRAS (Aggregator role) ADR signal Yokohama City CEMS Smart houses HEMS ADR signal ADR signal ADR Standard Test Site ADR signal Smartphone BEMS/FEMS test site (Office and factory) 19

20 JST R&D Project of Advanced EMS by eight Japanese Universities Team (FY ) Development of distributed cooperative EMS methodologies for multiple scenarios by using versatile demonstration platform

21 21 Proposal of integrated cooperative EMS methods for multiple scenarios Forecast Plan Control Cyber security Computer science Economics Satellite data Introduction to simulator Open demonstration platform for integrated cooperative EMS methods Open EMS Simulation Model Open Distribution NW Simulator GEMS model S S S1 S 1 S S 1S S 1S S 1 S S S1 S HEMS model B/MEMS model System Link GEMS model HEMS model B/MEMS model Implementation to society Embed integrated cooperative EMS methods to practical field Auto EM and DR by EMS methods Interoperability by xems Support

22 Prof. Minato (JST ERATO) Discrete Structure Manipulation Assoc. Prof. Baba HPWH-HEMS Control HPWH model reflecting actual characteristic Feeder voltage control Prof. Amano Operational planning for residential energy systems Prof. Tanabe Assoc. prof. Fujimoto Multiple scenario Forecast Prof. Wakao Prof. Murata Prof. Ohashi Economic Analysis Simulation of demand change against DR based on electricity price Prof. Shimoda Demand profiles for EMS Generation of energy demands for EMS based on multi-agent model Prof. Suzuki PHV-HEMS Control Operational charge-discharge plan for PHV-HEMS Prof. Nakajima Solar Irradiance data Analysis and delivery of solar irradiance data using satellite (30 minutes intervals 1km 2 ) Prof. Ishii Cyber Security Detection of cyber attacks against voltage control International collaboration Universities (NSF, DFG, RCN) Prof. Ohmori Robust Distributed Optimal Control Distributed collaborative control b/w BESS and PVs

23 Please collaborate with our team on open EMS platform to build international super team. Thank you for your attention.