Optimized capacity configuration of an integrated power system of wind, photovoltaic and energy storage device based on improved particle swarm optimizer

To enhance power supply reliability of wind-PV power system and improve utilization of wind power and PV, it is necessary to configure the capacity of wind turbine generators, PV modules and energy storage devices reasonably. Based on the feature of joint-operation of wind-PV generation system with energy storage device and considering dynamic variation of stored energy during the joint operation, taking technical characteristics of energy storage unit and the loss of power supply probability (LPSP) as the constraint, a joint configuration method of wind power capacity, PV and energy storage capacity, in which the original investment of integrated power system of wind, photovoltaic and energy storage device is taken as objective function, is proposed. An improved particle swarm optimizer (IPSO) is proposed. In the algorithm, the value of inertia weight was directed by the distance between the particle and the global optimal particle, crossover and mutation operations were introduced to avoid falling into local optimal solution. Under the conditions of a given case, take the lithium-ion battery into account. And simulation results show that the method has rapid convergence speed and superb global search ability.