Research on Optimization of Wind/PV/Storage Capacity Configuration Based on Homer Software

Reasonable allocation of Wind/PV/Storage capacity can not only reduce the initial investment of the system, but also relieve the capital pressure of the system construction; It can also improve the power supply security and reliability of the system and reduce the additional loss caused by power shortage. In the Homer software, the life cycle cost is used as the optimization objective. The cyclic charging and load tracking strategies are used to configure the capacity of the independent system and compare it with the capacity configured by the particle swarm algorithm. The results show that the load tracking control strategy in Homer software has better results.