1School of Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, China;2Xuzhou Power Supply Company of State Grid Jiangsu Electric Power Co., Ltd., Xuzhou 221000, China

Industry agglomeration zones encompass the entire industrial production process. Their complex industrial chain structures and diversified energy demands offer significant potential for optimal configuration and carbon emission reduction. To this end, an integrated energy optimal configuration method is proposed for the energy demand in the process of service industry agglomeration zones. First, based on the differentiated energy utilization demands in various production stages, the energy supply of the industry agglomeration zones is divided into multiple integrated energy systems that serve distinct industrial processes. Then, taking the system operation economy and carbon emissions throughout the entire industrial production process as optimization objectives, a bi-level optimal configuration model of integrated energy is constructed. Finally, taking a semiconductor industry agglomeration zone as an example and considering the correlation constraints in the processes of energy demands, an improved non-dominated sorting genetic algorithm (NSGA-Ⅱ) by hybrid adaptive crossover-mutation is used to optimize the equipment capacity configuration based on flexible energy utilization in the industrial production. Simulation results demonstrate that the proposed configuration method achieves optimal configuration of multiple integrated energy systems while balancing the operation economy and carbon emission reduction requirements of industry agglomeration zones.