A Two-Stage Planning Optimization Study of an Integrated Energy System Considering Uncertainty

In the context of a rapidly evolving integrated energy system (IES), taking into account uncertainty renewable output can make planning more realistic. view this, this paper proposes an approach that takes account. Firstly, in order to accurately describe scenarios, describes IES model and introduces scenario analysis methods used. Secondly, equipment is constructed, corresponding constraints objective functions are set, improved particle swarm-ant colony optimization algorithm used for solution, solution strategy considering proposed. Finally, above conclusions verified by actual case data park, results show method proposed economical reasonable.