Coordinated multiobjective optimization of the integrated energy distribution system considering network reconfiguration and the impact of price fluctuation in the gas market

• Published in: International journal of electrical power & energy systems 2022-06, Vol.138, p.107776, Article 107776
• Main Authors: Chen, Sijie, Yang, Yongbiao, Qin, Minglei, Xu, Qingshan
• Format: Article
• Language: English
• Subjects: Gas price; Integrated energy distribution system; Interval multiobjective optimization; MISOCP
• ISSN: 0142-0615; 1879-3517
• DOI: 10.1016/j.ijepes.2021.107776

•A model of the integrated energy distribution system, including the multi-energy network, is constructed.•Distribution network reconfiguration based on mixed-integer second-order cone programming is established.•The price fluctuation of domestic natural gas is considered in the model.•The combined interval multiobjective optimization method and fuzzy multiweight technology are used to solve the model.•The optimization results under different cases and the sensitivity analysis are compared and studied. An integrated energy distribution system (IEDS) includes an energy hub, distribution network (DN), and heat distribution network (HN), which play an essential role in improving energy utilization and achieving multi-energy complementarity. However, the price uncertainty of the domestic natural gas market will bring challenges to the operation economy and safety of the IEDS in the future. A dispatch model of the integrated energy distribution system based on mixed-integer second-order cone programming (MISOCP) is proposed to increase the robustness of the system. First, considering the flexible topology of the distribution network, the distribution network is reconfigured to minimize the operation cost and improve the operating conditions of the system. Second, taking the fluctuation interval of the natural gas price into consideration, an interval multiobjective optimization problem is proposed to optimize the expected average operation cost and cost deviation. Finally, the optimal solution is selected by the epsilon constraint method and fuzzy multiweight technology. The dispatch results of the method in this paper are studied in four cases, and a sensitivity analysis is conducted to verify the feasibility of the method.