Cluster Optimization of an Integrated Energy System for a Park Based on Demand Response

To address the issues of insufficient operational flexibility and low energy coordination efficiency of the integrated energy system in the park under the integration of large-scale distributed renewable energy, it is essential to carry out research on multi-energy complementary cluster division and optimal operation to improve regional energy utilization efficiency. Focusing on the multi-energy coupling system of electric heating and gas in the park, this paper proposes a method of electric heating and gas collaborative cluster division that considers the demand response potential. First, the multi-energy coupling topology model of the integrated energy system in the park is constructed, and the demand response potential index of each sub-region is quantitatively evaluated. A modularity evaluation function integrating multi-energy coupling characteristics is proposed. Based on the improved Louvain algorithm, the dynamic cluster division of the electric heating and gas system in the park is realized. On this basis, a cluster-level optimization operation model considering demand response resource integration is established, and optimal scheduling is carried out with the goal of minimizing operating costs. Finally, an industrial park in Northeast China is used as an actual case for verification. The results show that the proposed cluster division method can divide the park into four electricity, heating, and gas integrated energy clusters with clear characteristics and close coupling. After the integration of demand response resources, the overall operating cost of the system is reduced and the new energy consumption rate is increased. This verifies the effectiveness and superiority of the proposed method and provides technical support for the optimal operation of the integrated energy system in the park.