Optimal capacity allocation method of integrated energy system considering renewable energy uncertainty

With the reduction of fossil energy and increase consumption, development utilization new is an inevitable trend. Renewable has attracted attention because its cleanness abundance. However, affected by randomness intermittence renewable energy, it difficult for traditional power system to meet needs users after connected, solve consumption problem relying on alone. To address this problem, integrated (IES) constructed using a two-layer optimization method operation strategy capacity allocation system, particle swarm algorithm used multi-objective taking cost, investment cost as indexes, considering equipment characteristics, uncertainty model constraints. The results obtained from solution are compared with supply verified that proposed can achieve lowest in while satisfying reliability safety