为减小光伏阵列在存在局部阴影时光伏系统输出功率的损失,提高最大功率点追踪（MPPT）的速度和准确性,提出基于布谷鸟（CS）算法和扰动观察法（P&O）相结合的MPPT控制方法（ICS-P&O）。对CS算法中的种群进行分组,在随机游走阶段为2个种群设置不同的更新策略,在偏好游走阶段加入信息共享策略来辅助更新,从而加快算法的收敛,提升收敛精度,而后利用小步长P&O算法进一步提高后期的收敛精度。仿真结果表明,所提算法在不同的外界环境下追踪速度和追踪精度均得到有效提升。
Abstract
To reduce the power loss of the photovoltaic system when the photovoltaic array has partial shadows and improve the accuracy and speed of the maximum power point tracking（MPPT）, an MPPT control method（ICS-P&O） is proposed based on the Cuckoo Search（CS） algorithm and P&O algorithm. Group the populations in the CS algorithm,set different update strategies for the two populations in the random walk phase and add information sharing strategies to assist in the update during the biased walk phase to speed up the convergence of the algorithm and improve the convergence accuracy,then use small steps P&O method to improves the convergence accuracy in the later stage. Results show that the proposed method has better global search performance,faster tracking speed and higher tracking accuracy in different external environments.
关键词
最大功率点追踪 /
光伏系统 /
扰动观察法 /
布谷鸟算法 /
局部阴影
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基金
上海市自然科学基金（18ZR1416700）
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