| 引用本文: | 苏粟,李家浩,李泽宁,王业庭,夏冬,王世丹.考虑用户需求的电动汽车虚拟同步机辅助调频控制策略[J].电力自动化设备,2021,41(11): |
| SU Su,LI Jiahao,LI Zening,WANG Yeting,XIA Dong,WANG Shidan.Auxiliary frequency regulation control strategy based on virtual synchronous machine for electric vehicles considering user demand[J].Electric Power Automation Equipment,2021,41(11): |
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| 摘要: |
| 大量电动汽车(EV)入网可为电网提供辅助调频服务。针对车网互动(V2G)造成的惯量、阻尼缺失的问题，采用虚拟同步机技术，使得EV具有与同步发电机类似的惯性阻尼特性和频率调节特性。针对EV辅助调频问题，提出考虑用户充电需求的EV智能充放电控制策略。首先，提出调频参与度因子，根据期望荷电状态以及用户的计划充电时间自适应确定一次调频系数，进而得到一次调频功率；然后，充分考虑车主需求，设计T-S型模糊控制器，根据电网频率偏差及调频参与度因子得到二次调频功率，实现EV的智能充放电；最后，在不同电池初始状态以及用户需求情况下进行仿真验证。仿真结果表明，所提控制策略可以根据电网频率波动情况以及用户充电需求程度智能控制EV进行充放电，在满足用户充电需求的情况下参与电网辅助调频服务，减小了电网频率波动，提高了电力系统的稳定性。 |
| 关键词: 电动汽车 虚拟同步机 辅助调频 用户需求 控制策略 V2G |
| DOI：10.16081/j.epae.202109008 |
| 分类号:U469.72;TM761 |
| 基金项目:国家自然科学基金资助项目(51677004) |
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| Auxiliary frequency regulation control strategy based on virtual synchronous machine for electric vehicles considering user demand |
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SU Su1, LI Jiahao1, LI Zening1, WANG Yeting2, XIA Dong3, WANG Shidan4
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1.National Active Distribution Network Technology Research Center, Beijing Jiaotong University, Beijing 100044, China;2.State Grid Xinyuan Holdings Co.,Ltd.,Beijing 100761, China;3.Economic and Technical Research Institute of State Grid Tianjin Electric Power Company, Tianjin 276000, China;4.Haidian Electric Power Supply Company of State Grid Beijing Electric Power Company, Beijing 100000, China
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| Abstract: |
| A large number of grid-connected EVs(Electric Vehicles) can provide auxiliary frequency regulation service. Aiming at the problem of lacking inertia and damping caused by V2G(Vehicle-to-Grid),the virtual synchronous machine technology is adopted to make EVs have similar inertial damping characteristics and frequency regulation characteristics to synchronous generator. In order to solve the frequency regulation problem of EVs, an intelligent EV charging and discharging control strategy considering users’ charging demand is proposed. Firstly, the frequency regulation participation factor is proposed, and the primary frequency regulation coefficient is adaptively determined according to the expected state-of-charge and the planned charging time of users, and then the primary frequency regulation power is obtained. Then, the T-S fuzzy controller is designed with the full consideration of users’ demand, and the secondary frequency regulation power is obtained according to the frequency deviation and frequency regulation participation factor of power grid, so as to realize the intelligent charging and discharging of EVs. Finally, the simulation verification is carried out under different initial state of battery and user demands. Simulative results show that the proposed control strategy can intelligently control the charging and discharging of EVs according to the frequency fluctuation of power grid and the charging demand degree of users, and EVs’ participation in the auxiliary frequency regulation service of power grid under the condition of meeting users’ charging demand reduces the frequency fluctuation of power grid and improves the stability of power system. |
| Key words: electric vehicles virtual synchronous machine auxiliary frequency regulation user demand control strategy V2G |
