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作 者:董新 李广 乔荣飞 刘申 阚常涛 DONG Xin;LI Guang;QIAO Rongfei;LIU Shen;KAN Changtao(State Grid Jinan Power Supply Company,Jinan 213000,China)
机构地区:[1]国网山东省电力公司济南供电公司,山东济南213000
出 处:《山东电力技术》2024年第12期1-9,共9页Shandong Electric Power
基 金:国网山东省电力公司科技项目(SGSDJN00FZJS2311055)。
摘 要:随着新能源发电、新能源汽车和电气化轨道交通的大规模接入,城市电网在实际运行过程中电压问题越来越突出。文中提出了一种考虑电动汽车集群充电无功支撑的城市电网无功电压优化控制方法。结合电动汽车运行特性,构建电动汽车有序充电功率控制模型,将充电桩的功率因素控制作为系统无功支撑,在长鼻浣熊算法(coati optimization algorithm,COA)中引入折射反向学习机制、Levy飞行机制和螺旋搜索机制,得到改进长鼻浣熊算法(improved coati optimization algorithm,ICOA),优化调节新能源发电输出功率、充电桩充电功率及无功补偿装置出力,实现城市电网无功电压的最优控制,提高城市电网电压的安全性和稳定性。通过仿真验证所提方法的有效性,为城市电网应对新能源发电、新能源汽车以及电气化轨道交通接入带来的电压问题提供解决思路。With the large-scale access of renewable energy generation,renewable energy vehicles and electrified rail transit,the voltage problem of urban power grid is becoming more and more prominent in the actual operation process.In this paper,an optimal reactive voltage control method for urban power grid considering the reactive power support of electric vehicle cluster is proposed.The orderly charging power control model of electric vehicles is built based on the operation characteristics of electric vehicles,and the power factor control of charging piles is taken as the reactive power compensation for the system.The refraction reverse learning mechanism,Levy flight mechanism and spiral search mechanism are introduced in coati optimization algorithm(COA)to improve the convergence speed and accuracy,and the improved coati optimization algorithm(ICOA)is used to optimize and cooperate the output power of renewable energy generation,the charging power factor of charging piles and the output of reactive power compensation device.Finally,the effectiveness of the proposed method is verified by simulation,it provides a solution for the voltage problems caused by new energy power generation,new energy vehicles and electrified rail transit access in urban power grids.
关 键 词:新能源发电 充电桩功率因素 动态无功优化 城市电网
分 类 号:TM910.6[电气工程—电力电子与电力传动] U491.8[交通运输工程—交通运输规划与管理]
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