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Multi-objective Optimal Allocation of Regional Integrated Energy System

The integrated energy system (IES) can promote complementarity and efficient use of different energy by coupling with multiple energy resources, such as electricity, heat and cold. An optimal capacity configuration method of regional integrated energy system considering electricity and heat transaction is proposed in this paper, including the cost of energy interaction between IES and power/heating networks. The optimization objective is a multi-objective function considering the economy, environmental protection, reliability of the system and interacting power fluctuation factors. Based on the energy hub, this paper optimizes the capacity of every energy supply equipment within the region and the genetic algorithm is adopted combining with system economic operation on typical days. Finally, the proposed method is verified by an example of a certain park. The results show that the method can effectively reduce the cost of system and reasonably avoid the limitations caused by the single decision factor in the system planning stage, which provides a reference for the planning and design of actual IESs.