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作 者:胡思洋 廖凯[2] 杨健维[2] 李波[2] 杨威 HU Siyang;LIAO Kai;YANG Jianwei;LI Bo;YANG Wei(Engineering Training Center,Southwest Petroleum University,Chengdu 610500;School of Electrical Engineering,Southwest Jiaotong University,Chengdu 610031,China;School of Electrical Engineering and Information,Southwest Petroleum University,Chengdu 610500,China)
机构地区:[1]西南石油大学工程训练中心,四川成都610500 [2]西南交通大学电气工程学院,四川成都610031 [3]西南石油大学电气信息学院,四川成都610500
出 处:《电力自动化设备》2023年第6期53-61,共9页Electric Power Automation Equipment
基 金:四川省科技计划项目(2020YFSY0037)。
摘 要:随着电动汽车的大量推广,城市电网中的电动汽车总容量逐渐增加,基于电动汽车入网(V2G)技术,考虑电动汽车的放电能力,将其作为辅助电源配合应急供电车可快速恢复失电负荷,在有效降低失电损失的同时,具有灵活性好、能降低应急储能和应急供电车等传统应急能源的配置成本等优点。建立了电动汽车的放电模型,以此评估可供调配电动汽车电池的电源水平;将失电负荷的重要度、容量等因素作为有限电源分配的依据,以最小化负荷失电损失为目标,结合遗传算法和改进鲸鱼算法进行求解,提出了基于V2G技术的供电恢复优化策略。算例仿真结果验证了所提方法的可行性和优越性,可为未来电动汽车大规模接入后城市电网的供电恢复策略研究提供新的思路。With the extensive promotion of electric vehicles(EVs),the total capacity of EVs in urban power grid is gradually increasing.Based on the vehicle to grid(V2G)technology and considering the discharging capacity of EVs,the EVs can be used as the auxiliary power supply to cooperate with emergency power supply vehicle to quickly recover the power loss load,which can effectively reduce the load-loss cost,has good flexibility and can reduce the configuration cost of traditional emergency energy such as emergency energy storage,emergency power supply vehicle,and so on.The discharging model of EVs is established to evaluate the power supply level of EV batteries.Taking the importance and capacity of the outage load as the basis of limited power distribution,a power supply restoration optimization strategy based on V2G tech⁃nology is proposed with the goal of minimizing the load-loss cost,which is solved by the combination of genetic algorithm and improved whale algorithm.The simulative results of the example verify the feasibility and superiority of the proposed method,which can provide a new idea for the research on power supply restoration strategy of urban power grid after large-scale EV access in the future.
关 键 词:城市电网 电动汽车 V2G技术 供电恢复 优化决策
分 类 号:U469.72[机械工程—车辆工程] TM761[交通运输工程—载运工具运用工程]
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