热力发电2023，Vol.52Issue(12)：90-97,8.DOI:10.19666/j.rlfd.202305068
基于IPSO-IP&O混合算法的光伏最大功率点跟踪
Photovoltaic maximum power point tracking based on IPSO-IP&O hybrid algorithm
摘要
Abstract
Under partial shading conditions(PSC),the P-U characteristics of a solar photovoltaic array may exhibit multi-peak phenomena.Conventional algorithms tend to fall into local maximum power point(LMPP),while maximum power point tracking(MPPT)methods based on meta heuristic algorithms are difficult to balance speed and accuracy.In this regard,this paper designs a hybrid algorithm based on the improved particle swarm optimization(IPSO)with embedded the improved perturbation and observation(IP&O).The velocity and position of the particle are first updated by the IPSO algorithm.Then,perform MPPT based on the position of particles using the IP&O algorithm.The tracked power is used as the fitness value of the particles,so that IPSO can find the global maximum power point(GMPP)among many LMPPs.Finally,with the global optimal output of IPSO as the initial position,IP&O is used again for global maximum power point tracking(GMPPT).Comparing the proposed algorithm with IP&O,IPSO,and IPSO-P&O through simulation,the simulation results show that the proposed algorithm performs excellently in tracking speed and accuracy,especially in the case of a wide voltage search range,and has smaller power oscillations during the tracking process.关键词
光伏系统/最大功率点跟踪/局部遮阴/改进粒子群算法/变步长扰动观察法Key words
photovoltaic systems/maximum power point tracking/partial shading/improved particle swarm optimization algorithm/improved perturbation and observation algorithm引用本文复制引用
秦智恒,任磊,秦岭,茅靖峰..基于IPSO-IP&O混合算法的光伏最大功率点跟踪[J].热力发电,2023,52(12):90-97,8.基金项目
江苏省高等学校基础科学(自然科学)研究项目(22KJB470025) （自然科学）
南通市社会民生科技计划面上项目(MS12021015) Natural Science Foundation of the Jiangsu Higher Education Institutions of China(22KJB470025) （MS12021015）
Nantong Social Livelihood Science and Technology Plan General Project(MS12021015) （MS12021015）
