Optimal Design of PV/Wind/Pumped-Storage Hybrid System Based on Improved Particle Swarm Optimization

摘要

Optimization is very important in the design process of the PV/wind/pumped-storage hybrid system. Particle swarm optimization algorithm was a stochastic global optimization algorithm with good convergence and high accuracy, so it was used to optimize the hybrid system in this paper. First, the system reliability model and the system cost model were established. Secondly, the improved particle swarm optimization algorithm was used to optimize the system model in Nanjing. Finally, the results were analyzed and discussed. The optimization results showed that the optimal design method based on improved particle swarm optimization could take into account both the local optimization and the global optimization, which has good convergence high precision. The optimal system was that LPSP (loss of power supply probability) was zero and that LCE (levelized cost energy) was lowest.