摘要
在高渗透微电网中,可再生能源发电会降低负载侧电能质量。文章将并联型有源电力滤波器与电力弹簧控制结构相结合,克服了传统补偿策略响应速度慢和补偿效果差的缺点,且负载侧电流谐波含量较低。在Simulink中将负载侧不平衡电压信息输入到粒子群算法(Particle Swarm Optimization,PSO)模块中,可以在线实时优化CL电压电能指标。最后在电机型负载工况中进行仿真,验证了控制方法的有效性。
In a high-permeability microgrid,renewable energy power generation will reduce the power quality on the load side.The article combines the parallel active power filter with the electric spring control structure to overcome the shortcomings of the traditional compensation strategy of slow response speed and poor compensation effect,and the harmonic content of the load side current is low.In Simulink,the unbalanced voltage information of the load side is input into the Particle Swarm Optimization(PSO)module,which can optimize the CL voltage and energy indicators online and in real time.Finally,the effectiveness of the control method is verified in the simulation of motor-type load conditions.
作者
方乐
周建萍
茅大钧
张健
葛祥一
叶剑桥
周钰婷
Fang Le;Zhou Jianping;Mao Dajun;Zhang Jian;Ge Xiangyi;Ye Jianqiao;Zhou Yuting(School of Automation Engineering,Shanghai University of Electric Power,Shanghai 200090,China)
出处
《可再生能源》
CAS
北大核心
2020年第11期1508-1514,共7页
Renewable Energy Resources
基金
国家自然科学基金(61275038)
上海市“科技创新行动计划”地方院校能力建设专项项目(19020500700)。
关键词
电力弹簧
并联型有源电力滤波器
无源控制
PSO算法
谐波抑制
electric spring
shunt active power filter
passive control
particle swarm optimization algorithm
harmonic suppression
