针对光伏阵列积灰问题,研究光伏阵列不均匀积灰故障以及故障后的优化控制策略。通过灰色模型预测下一时刻光伏阵列输出功率,并与实际阵列输出功率相比,进而判断阵列积灰状况并与软性阴影进行区分。使用基于遗传算法的最大功率点跟踪技术对不均匀积灰下的光伏阵列进行优化控制,减小系统功率损失。通过仿真和实验证明理论的正确性和实用性。
Aiming at fouling problem in the PV plant, uneven fouling and optimization strategy under it are focused the paper. Predicting the output power in the next time with gray model and compare it to real power sampled by system fouling condition can be judged and distinguished with soft shading. Maximum power point tracking based on genetic algorithm is used to optimize the control system to reduce power loss. It is proved to be correct and practical by simulation and experiments.