基于自适应可控开关矩阵的光伏阵列优化配置策略

摘要

According to the problem of lower efficiency of PV array in shadow or component fault conditions, based on the adaptive particle swarm optimization algorithm (SA-PSO), this paper proposes a control strategy which combines maximum power point tracking and switch matrix, and gives restart and termination conditions of the algorithm to avoid the frequent use of switch and power swing when the system tends toward stability. First, the restart condition of the algorithm is judged, if it is an unnatural restart, it needs to recognize optimal module array connection scheme under the abnormal situation by using optimization algorithm. And then it uses controllable switch matrix array to real-timely optimize photovoltaic array configuration mode. Finally, simulation results verify that the proposed method can quickly and accurately track the global optimum MPP in the shade or fault conditions, and effectively improve the output power of photovoltaic array.%针对光伏阵列在阴影或者组件故障情况下引起效率降低的问题,基于自适应粒子群优化算法(SA-PSO)提出将最大功率点跟踪与开关矩阵相结合的控制策略.同时给出了该算法的重启与终止条件,避免了开关的频繁使用与系统趋于稳定时的功率振荡.首先对算法的重启条件进行判断,如果是非自然重启,需要通过优化算法对异常情况下的最优模块阵列连接方案进行识别.然后利用可控开关矩阵实时优化光伏阵列配置方式.最后通过仿真验证了该方法在遮阴或故障情况下均可以快速准确地跟踪到全局最优MPP,有效提高光伏阵列的输出功率.