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作 者:郝立超 刘洋[1] 刘守恒 姜展鹏 HAO Lichao;LIU Yang;LIU Shouheng;JIANG Zhanpeng(College of Electrical Engineering,Shenyang University of Technology,Shenyang,Liaoning 110870,China;CPI Northeast New Energy Developement Co.,Ltd.,Shenyang,Liaoning 110170,China)
机构地区:[1]沈阳工业大学电气工程学院,辽宁沈阳110870 [2]中电投东北新能源发展有限公司,辽宁沈阳110170
出 处:《东北电力技术》2022年第10期22-27,共6页Northeast Electric Power Technology
基 金:辽宁省教育厅科学技术研究项目(LQGD2020001)。
摘 要:当电动汽车(electric vehicles,EVs)切入或切出充电桩时,会引起配电网功率急剧变化,进而增加配电网频率的波动性。提出一种通过引入大容量超导磁储能(superconducting magnetic energy storage,SMES)系统来提高配电网频率稳定性的方法。在传统PID控制的基础上,建立一种无模型的自适应动态规划控制方法,使SMES在EVs切入充电桩时放电,EVs处于稳态充电阶段时存储电能,EVs切出充电桩时进行充电。分别对2种控制方法进行仿真验证,得出配电网输入功率和配电网频率实时特征曲线,结果表明,基于自适应动态规划的控制方法更有利于提高配电网频率的稳定性。When electric vehicles(EVs)cut into or cut out the charging pile,they will cause a sharp change in the power of the distribution network,thereby increasing the frequency fluctuation of the distribution network.A method to improve the frequency stability of distribution network by introducing large capacity superconducting magnetic energy storage(SMES)system is proposed.Based on the traditional PID control,a model-free adaptive dynamic programming control method is established to make SMES discharge when EVs cut into the charging pile,store electric energy when EVs are in the steady-state charging stage,and charge when EVs cut out of the charging pile.The two control methods are simulated and verified respectively,and the real-time characteristic curves of input power and frequency of distribution network are obtained.The results show that the control method based on adaptive dynamic programming is more conducive to improving the stability of distribution network frequency.
分 类 号:TM615[电气工程—电力系统及自动化]
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