Photovoltaic grid-connected control system based on improved genetic algorithm and its implementation

Economic development and social progress make a large amount of traditional energy consumed, followed by environmental deterioration. The optimal configuration of photovoltaic power generation grid-connected is studied. A multi-objective optimization model is established to minimize the loss of the distribution network, the node voltage offset and the access cost for the location and capacity of photovoltaic power supply; an improved parallel selection method based on genetic algorithm is proposed; the key objectives of optimization are highlighted, treat each objective function differently, and obtain the optimal solution of the model on the basis of the forward push-back method to calculate the power flow of the distribution network. The results show the correctness of the established model and the superiority of the improved algorithm.