Distributed PV Operation and Maintenance Scheduling Method Based on Improved PSO-PRGA Algorithm

Abstract

Aiming at low efficiency and high cost of scheduling schemes in distributed photovoltaic operation and maintenance, a distributed photovoltaic(PV) operation and maintenance scheduling based on improved particle swarm optimization-progress rate genetic algorithm (PSO-PRGA) is proposed. Firstly, establish a distributed PV scheduling model according to the cost which are selected to construct the objective function. Then, proposed an improved PSO-PRGA algorithm to solve the operation and maintenance scheduling optimization model. Finally, according to the operation and maintenance data of distributed photovoltaic power stations in Suqian City, Jiangsu Province, a distributed PV scenario is constructed for calculation example analysis, and it is verified that the scheduling model proposed in this paper conforms to the characteristics of distributed photovoltaic operation and maintenance, and the proposed algorithm can improve the distribution of photovoltaic power. It is feasible and efficient in practical applications to improve the efficiency of photovoltaic scheduling and reduce costs.