基于ISSA-P&O算法的光储发电系统MPPT控制技术  

MPPT control technology for photovoltaic power generation system based on ISSA-P&O algorithm

作　　者：李晓峰 杨祺 姜铭琨 倪昊 王珣 靳文星 Li Xiaofeng;Yang Qi;Jiang Mingkun;Ni Hao;Wang Xun;Jin Wenxing(SPIC Qinghai Photovoltaic Industry Innovation Center Co.,Ltd.,Qinghai 810008,China;School of Electrical Engineering,Southeast University,Nanjing 210096,China)

机构地区：[1]国家电投集团青海光伏产业创新中心有限公司,青海西宁810008 [2]东南大学电气工程学院,江苏南京210096

出　　处：《可再生能源》2025年第3期400-407,共8页Renewable Energy Resources

基　　金：国家电投集团科技项目(KYTC2023 GF03)。

摘　　要：针对光照强度不均匀造成光伏阵列的输出曲线为多峰曲线,传统最大功率点跟踪(Maximum Power Point Tracking,MPPT)控制算法不能跟踪到全局最大功率的问题,文章提出一种基于改进麻雀搜索算法(Improved the Sparrow Search Algorithm,ISSA)和扰动观察法(Perturbation and Observation Method,P&O)的光储发电系统MPPT控制方法。首先,在跟踪前期,采用混沌映射方式增加ISSA种群多样性,提升算法广泛搜索能力。为了防止算法陷入局部最优,利用萤火虫扰动算法对麻雀个体进行扰动更新;其次,在跟踪后期,使用P&O防止系统在最大功率点附近振荡,保证最大功率点稳定输出;最后,经过算例分析,所提MPPT控制方法实现了不同场景下的快速跟踪、精准输出,能够很好应用地于光储混合发电系统中。The uneven illumination intensity causes the output curve of the photovoltaic array to be a multimodal curve, and the traditional maximum power point tracking(MPPT) control algorithm cannot track the global maximum power. Based on this, a MPPT control method for photovoltaic power generation systems is proposed, which is based on the improved sparrow search algorithm(ISSA) and disturbance and observation method(P&O). Firstly, in the early stage of tracking, chaotic mapping is used to increase the diversity of ISSA population and enhance the algorithm's wide search ability. To prevent the algorithm from getting stuck in local optima, the firefly perturbation algorithm is used to perturb and update individual sparrows. Secondly, in the later stage of tracking, P&O is used to prevent the system from oscillating near the maximum power point, ensuring stable output at the maximum power point. Finally, through numerical analysis, the proposed MPPT control method achieves fast tracking and accurate output in different scenarios, and can be well applied in photovoltaic hybrid power generation systems.

关 键 词：光伏阵列 最大功率点跟踪 改进麻雀搜索算法 扰动观察法 萤火虫扰动算法 

分 类 号：TK51[动力工程及工程热物理—热能工程] TM73[电气工程—电力系统及自动化]