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作 者:Jianxiao Wang Zhaoyuan Wu Ershun Du Ming Zhou Gengyin Li Yining Zhang Le Yu
机构地区:[1]School of Electrical and Electronic En-gineering,North China Electric Power University,Beijing 102206,China [2]State Key Lab of Power Systems,Department of Electrical Engineering,Tsinghua University,Beijing 100084,China [3]Zhidao Hechuang Tech Co.Ltd.,Beijing 100101,China
出 处:《CSEE Journal of Power and Energy Systems》2020年第1期31-40,共10页中国电机工程学会电力与能源系统学报(英文)
基 金:This work was supported in part by the Smart Grid Joint Foundation Program of the National Natural Science Foundation of China and the State Grid Corporation of China(U1866204);in part by the National Natural Science Foundation of China(51907064);and in part by the State Grid Corporation of China(Application Research and Trading Mechanism of Green Electricity Market toward Sustainable Energy Accommodation,52020119000G).
摘 要:The increasing penetration of plug-in electric ve- hicles (PEVs) has highlighted the importance of coordinating ubiquitous distributed energy resources (DERs) via the internet of things (IoT).With the help of vehicle-to-grid (V2G) technology, PEVs can be aggregated to behave as a storage system, yielding both economic and environmental benefits. In this paper, we propose an optimal bidding framework for a V2G-enabled re- gional energy internet (REI) to participate in day-ahead markets considering carbon trading. The REI operator aims to maximize the net profits from day-ahead markets while anticipating real- time adjustments. A detailed battery model is developed to depict the charging and discharging capability of V2G-enabled PEVs. A two-stage stochastic optimization model is formulated to schedule the operation of PEV fleets against various sources of uncertainties, e.g., the arrival and departure time of PEVs, solar power and real-time prices. Case studies undertaken based on realistic datasets demonstrate that the coordination of the V2G- enabled PEVs and other DERs can facilitate the accommodation of renewable energy, thus improving the REI’s revenues in energy and carbon markets.
关 键 词:Carbon trading internet of things market bidding regional energy internet VEHICLE-TO-GRID
分 类 号:TM73[电气工程—电力系统及自动化]
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