Capacity Allocation for Regional Integrated Energy System Considering Typical Day Economic Operation

For the regional integrated energy system (RIES) integrated with electricity, heat, cold and gas, this paper considers the system economic operation of typical day and establishes the optimal model of capacity allocation for RIES based on the curves of solar photovoltaic (PV) output and load characteristic on typical day of different seasons, aims to maximize both economic and environmental senses which account for investment costs and benefits. And an improved adaptive particle swarm optimization (APSO) algorithm is used to solve the optimization problem. Finally, an industrial park is taken as an example to verify the effectiveness of the model and method, which achieves the scientific capacity allocation for the integrated energy system and provides theoretical basis and technical support for planning and design of RIES.