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递推最小二乘法与细菌觅食算法相结合的光伏阵列MPPT控制方法
引用本文:聂晓华,徐勋庆.递推最小二乘法与细菌觅食算法相结合的光伏阵列MPPT控制方法[J].水电能源科学,2016,34(5):207-210.
作者姓名:聂晓华  徐勋庆
作者单位:南昌大学 信息工程学院, 江西 南昌 330031
基金项目:国家自然科学基金项目(51467013)
摘    要:要: 针对复杂应用环境下光伏阵列的P-V输出特性曲线呈现多峰值的问题,提出了一种递推最小二乘法与细菌觅食算法相结合的光伏阵列最大功率点跟踪算法,分析了复杂应用环境对光伏最大功率点跟踪控制的影响。针对状态变化造成的多功率极值问题,首先运用递推最小二乘法进行滤波预处理,再采用细菌觅食优化算法准确跟踪到了全局最大功率点。MPPT仿真和试验结果均表明,该算法成功摆脱了局部最优解的约束,可准确跟踪阵列全局最大功率点且有效抑制了电磁噪声。与单纯的细菌觅食算法相比,本文算法精度更高,为光伏阵列最大功率点跟踪提供了一种实现方法。

关 键 词:复杂应用环境    递推最小二乘法    光伏阵列    最大功率点    细菌觅食算法

Combined Recursive Least Squares with Bacterial Foraging Algorithm Based MPPT Control for PV Array
Abstract:Aiming at the problem that output characteristics of photovoltaic array appear multiple peaks under complex application environment, a recursive least squares combined with bacterial foraging optimization algorithm is proposed to track the maximum power point of PV array. This paper investigates the influence of complex application environment on maximum power point tracking. For the problem of multi power extremum caused by the change of the state, recursive least squares method is adopted to filtering preprocessing. Then the global maximum power point is tracked by using the bacterial foraging optimization algorithm. Simulation results indicate that the bacterial foraging optimization algorithm is an effective method for MPPT escaping the local optimum and effectively suppress the electromagnetic noise. Compared with the simple bacterial foraging algorithm, the proposed algorithm is more accurate. Therefore, it provides a new way to solve the MPPT problem of PV array.
Keywords:complex application environment  recursive least squares algorithm  PV array  maximum power point tracking  bacterial foraging algorithm
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