运用改进C-SA-PSO算法的电容器优化配置  

Optimal Configuration of Capacitors Using Improved C-SA-PSO Algorithm

作　　者：艾永乐[1] 李帅 姜志彬 都静静 AI Yongle;LI Shuai;JIANG Zhibin;DU Jingjing(School of Electrical Engineering and Automation,Henan Polytechnic University,Jiaozuo 454150,China;State Grid Jiaozuo Power Supply Company,Jiaozuo 454100,China)

机构地区：[1]河南理工大学电气工程与自动化学院,焦作454150 [2]国网焦作供电公司,焦作454100

出　　处：《电力系统及其自动化学报》2019年第8期39-45,52,共8页Proceedings of the CSU-EPSA

基　　金：河南省教育厅高等学校重点科研资助项目(17A470001);河南省科技攻关资助项目(大功率微网储能变流器关键技术研究172102310569)

摘　　要：随着电力电子装置的广泛应用,配电网中非线性负荷占比重越来越大,对配电网进行电容器的优化配置时,谐波谐振和损耗问题已无法忽略。为此,提出了一种基于谐振图限制的配电网电容器优化配置方案。通过对IEEE 33节点系统插入谐波源,建立了非线性负荷模型的配电系统;使用改进的混沌模拟退火粒子群优化算法C-SA-PSO(chaotic simulated annealing particle swarm optimization),对系统节点电压、最大电压总畸变率和谐振图等参数的限制,建立了以年运行费用最小的优化配置模型。仿真结果及模态法分析表明,该方案可以有效地避免因电容器不合理安装引起谐振,导致电网和用电设备的损害。Along with the widespread applications of power electronic equipment,the proportion of nonlinear load in distribution network increases continuously.When the configuration of capacitors are optimized in distribution network,the problems of harmonic resonance and power cost cannot be ignored.In this paper,an optimal configuration scheme for capacitors in distribution network is proposed based on the constraint of harmonic resonance chart.A power distribu?tion system is established based on the model of nonlinear load by inserting harmonic sources into an IEEE 33-node sys?tem.By using the improved chaotic simulated annealing particle swarm optimization(C-SA-PSO)algorithm,an optimal configuration model for the minimum annual operation cost is established under the constraints of parameters such as system node voltage,total distortion rate of maximum voltage,and harmonic resonant chart.Simulation results and mod?al analysis show that the proposed scheme can effectively avoid the damage to power grid and electrical equipment due to resonance caused by the unreasonable installation of capacitors.

关 键 词：电容器 谐振图 优化配置 粒子群优化算法 

分 类 号：TM711[电气工程—电力系统及自动化]