摘要
静止无功补偿器(SVC)是电网中应用广泛的并联FACTS装置。在电力系统的运行中,SVC的优化配置对其更好地发挥作用具有很大的影响。针对SVC结合智能算法进行配置,提出一种结合花朵授粉算法寻优的SVC优化配置方法。该方法中需要涉及的参数相对其他算法较少,同时将涉及经济性方面在内的多个因素综合考虑。最终,通过算例仿真说明该方法的正确性及相应效果,对SVC优化配置的研究有实际的参考意义。
Static var compensator(SVC)is a parallel FACTS device widely used in power grids.In the power system,the optimal configuration of SVC has a great influence on its better function.In the configuration of SVC combined with intelligent algorithms,the article proposes a method of SVC optimization configuration combined with flower pollination algorithm optimization.The parameters needed in this method are less than other algorithms,and the economic factors are considered comprehensively.An example is given to illustrate the effectiveness and correctness of this method,which is of practical reference significance to the research of SVC optimal configuration.
作者
段友莲
戴林東
郑连清
DUAN Youlian;DAI Lindong;ZHENG Lianqing(College of Control Engineering,Xinjiang Institute of Engineering,Urumqi 830091,China;State Grid Chongqing Electric Power Company,Chongqing 400000,China)
出处
《电力电容器与无功补偿》
2022年第5期12-17,共6页
Power Capacitor & Reactive Power Compensation
基金
国家自然科学基金项目(51577020)
2020年度自治区高校本科教育教学研究和改革项目(ZH-2020019)。
关键词
静止无功补偿器(SVC)
花朵授粉算法
选址定容
staticvarcompensator(SVC)
flowerpollinationalgorithm
optimallocationandcapacitysetting
