Optimal Configuration of Wind/Solar/Diesel /Storage Microgrid Capacity Based on PSO-GWO Algorithm

In the problem of optimal allocation of microgrid capacity, the grey wolf optimization (GWO) algorithm is prone to fall into the local optimal when the population is missing in the later stage of evolution. Combined with the speed and position update formula of particle swarm optimization (PSO) algorithm, and a particle swarm improved gray wolf algorithm (PSO-GWO) is proposed. The gray wolf dimension is composed of battery power, diesel generator power and power interacting with the large power grid, with investment cost and environmental cost as the optimization goals. By simulating different micro-power combination schemes and different decision variables, the optimal scheme of micro-grid output is obtained, which shows that the PSO-GWO algorithm has stronger global search ability and search accuracy in the optimal configuration of multi-objective problems.