Capacities Optimizing of Region-Level Integrated Energy Systems Based on Random Model

Whether energy equipment can be fully utilized in the integrated energy system and how to improve the utilization rate of energy equipment is one of the issues to be considered in the planning stage of the integrated energy system. In this paper, the annual utilization hours of equipment is used as an indicator to measure the utilization rate of equipment life cycle. A long-term scale planning method for regional integrated energy system is proposed, which establishes random models of annual utilization hours of wind turbines, photovoltaics, annual demand for cooling, heating and electricity due to their uncertainty. The planning model aims to minimize the annualized cost containing investment cost and operation cost of system. Then, an improved enhanced firework algorithm based Monte Carlo simulation method is adopted to solve the proposed planning model. Finally, the optimized results show that the proposed model based on long time scale is effective in solving the capacity allocation problem of regional integrated energy system.