引用本文:胡思洋,廖凯,杨健维,李波,杨威.基于V2G技术的城市电网供电恢复策略[J].电力自动化设备,2023,43(6):
HU Siyang,LIAO Kai,YANG Jianwei,LI Bo,YANG Wei.Power supply restoration strategy of urban power grid based on V2G technology[J].Electric Power Automation Equipment,2023,43(6):
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基于V2G技术的城市电网供电恢复策略
胡思洋1, 廖凯2, 杨健维2, 李波2, 杨威3
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
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。
关键词:  城市电网  电动汽车  V2G技术  供电恢复  优化决策
DOI:10.16081/j.epae.202210024
分类号:U469.72;TM761
基金项目:四川省科技计划项目(2020YFSY0037)
Power supply restoration strategy of urban power grid based on V2G technology
HU Siyang1, LIAO Kai2, YANG Jianwei2, LI Bo2, YANG Wei3
1.Engineering Training Center, Southwest Petroleum University, Chengdu 610500;2.School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China;3.School of Electrical Engineering and Information, Southwest Petroleum University, Chengdu 610500, China
Abstract:
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 technology 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.
Key words:  urban power grid  electric vehicles  V2G technology  power supply restoration  optimal decision

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