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학술대회 P2P Power Trading between Nanogrid Clusters Exploiting Electric Vehicles and Renewable Energy Sources
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이상금, 진호준, Sarvar Hussain Nengroo, 하동수
International Conference on Computational Science and Computational Intelligence (CSCI) 2021, pp.1849-1855
21PR6100, 가정 에너지 사용량 실시간 진단 및 지능형 자율제어/관리 시스템 원천기술 개발, 도윤미
P2P power trading addresses direct energy exchange between peers, thereby energy from small-scale distributed energy resources in households, workplaces, factories, and other locations is exchanged among neighborhood energy prosumers and consumers. A novel method for real-time P2P power trading between nanogrid clusters based on cooperative game theory is proposed in this paper. Cooperative P2P power trading is used as a powerful aid for a nanogrid cluster's power management involving electric vehicles and renewable energy sources (wind turbine and photovoltaic energy system). For the nanogrid clusters' power management, multi-objective optimization making use of relevant information obtained from the Internet of Things and from the time-varying production of hybrid wind power and PV power is carried out. As a result, cooperative P2P power trading between nanogrid clusters can save the electricity cost and amount of energy supplied from the grid, as compared to the stand-alone nanogrid clusters without P2P power trading.
KSP 제안 키워드
Distributed Energy Resources(DERs), Electricity cost, Energy system, Internet of thing(IoT), Multi-objective optimization(MOP), PV power, Photovoltaic energy, Power trading, Real-Time, Renewable energy sources(RES), Small-scale