改进粒子群算法在光伏MPPT中的应用  

Application of improved particle swarm optimization in photovoltaic MPPT

作　　者：迟耀丹[1] 陈兵 徐红伟 赵阳[1] 李腾 CHI Yaodan;CHEN Bing;XU Hongwei;ZHAO Yang;LI Teng(Key Laboratory of Architectural Electricity&Comprehensive Energy Saving,Jilin Jianzhu University Changchun Jilin 130118,China;Siping City Juyuan Haoyang Plate Heat Exhanger Co.,Ltd.,Siping Jilin 136100,China)

机构地区：[1]吉林建筑大学寒地建筑综合节能教育部重点实验室,吉林长春130118 [2]四平市巨元瀚洋板式换热器有限公司,吉林四平136100

出　　处：《电源技术》2022年第4期441-444,共4页Chinese Journal of Power Sources

基　　金：吉林省科技发展计划项目(20200401012GX)。

摘　　要：在光伏阵列受到局部阴影遮挡条件下,针对光伏阵列的功率-电压(P-V)输出特性曲线在多峰值状态下的最大功率点跟踪(maximum power point tracking,MPPT)问题,通过对粒子群(particle swarm optimization,PSO)算法的改进,提出了一种基于新型粒子群(novel particle swarm optimization,NPSO)算法的MPPT方法(以下简称NPSO_MPPT算法)。NPSO算法通过将种群粒子分为收敛粒子和自由粒子两类,提高了原始PSO算法的全局搜索能力。在Simulink环境下,分别对P&O、基于PSO算法的MPPT方法(以下简称PSO_MPPT算法)和NPSO_MPPT算法进行仿真测试,仿真结果表明,NPSO_MPPT算法相比较现有的P&O和PSO_MPPT算法,具有发电效率高和不易陷入局部功率极大值等优点。Under the condition that PV array is shaded by local shadow,aiming at the maximum power point tracking(MPPT)problem of PV array power-voltage(P-V)output characteristic curve in multi-peak state,through the improvement of particle swarm optimization(PSO)algorithm,a MPPT method based on the novel particle swarm optimization(NPSO)algorithm(hereinafter referred to as the NPSO_MPPT algorithm)was proposed.The NPSO algorithm improved the global search capability of the original PSO algorithm by dividing the population particles into convergent particles and free particles.In the Simulink environment,simulation comparison tests were conducted on P&O(disturbance observation method),MPPT method based on PSO algorithm(hereinafter referred to as PSO_MPPT algorithm),and NPSO_MPPT algorithm.The test results show that the NPSO_MPPT algorithm has the advantages of higher efficiency and less possibility to fall into local maximum power values than the existing P&O and PSO_MPPT algorithms.

关 键 词：光伏阵列 局部阴影 最大功率点跟踪 粒子群算法 

分 类 号：TM615[电气工程—电力系统及自动化]