【摘要】 最大功率点的跟踪控制是光伏发电系统的关键技术,针对传统方法在局部阴影条件下易出现多峰值现象,输出功率损失严重的难题,提出了改进粒子群算法的光伏最大功率点跟踪控制方法。首先建立局部遮挡条件下的光伏最大功率点跟踪数学模型,然后根据粒子群算法找到最优光伏最大功率点,并对标准粒子群算法进行改进,克服其得到局部最优功率点的缺陷,最后采用仿真实验验证该方法的有效性和越性。结果表明,改进粒子群算法可以准确实现光伏最大功率点的跟踪,改善了光伏发电系统的性能。更多还原

【Abstract】 The tracking control of the maximum power point is the key technology of photovoltaic power generation system,under local shading,the traditional method is prone to multi peak phenomenon,the serious problem of the output power loss is put forward,and the maximum power point tracking control method based on improved particle swarm optimization algorithm is proposed. First established partial occlusion conditions of photovoltaic maximum power point tracking mathematical model,then according to the particle swarm algorithm to find optimal photovoltaic maximum power point and on the standard particle swarm algorithm was improved,overcome the defect of local optimal power point,finally,the simulation results show that the method is effective and more. The results show that this method can realize the tracking of photovoltaic maximum power point accurately and improve the performance of photovoltaic power generation system.更多还原