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
秦智恒,任磊,秦岭,茅靖峰
摘要(Abstract):
在局部遮阴条件下,光伏阵列的P-U特性曲线会出现多峰现象。传统的方法易陷入局部最大功率点(LMPP),而基于元启发式算法的最大功率点跟踪(MPPT)方法难以兼顾快速性和准确性。对此,设计了一种基于改进粒子群(IPSO)算法内嵌变步长扰动观察法(IP&O)的IPSO-IP&O混合算法。首先,采用IPSO对粒子的速度和位置进行更新;然后,通过IP&O对粒子进行最大功率点跟踪,并将跟踪得到的功率作为粒子的适应度值,以便于IPSO在诸多局部最大功率点中找到全局最大功率点;最后,以IPSO输出的全局最优为初始位置,再次利用IP&O进行全局最大功率点跟踪。将所提算法与IP&O、IPSO、改进粒子群算法结合扰动观察(IPSO-P&O)算法进行仿真对比,仿真结果表明:所提算法在跟踪速度和精度上表现优异,尤其是在宽电压搜索范围的情况下;并且在跟踪过程中的功率振荡更小。
关键词(KeyWords): 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
基金项目(Foundation): 江苏省高等学校基础科学(自然科学)研究项目(22KJB470025);; 南通市社会民生科技计划面上项目(MS12021015) ~~
作者(Author): 秦智恒,任磊,秦岭,茅靖峰
DOI: 10.19666/j.rlfd.202305068
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