IGDT-based demand response strategy for an integrated energy system considering its interactions with multi-energy markets

作者：Biao Wu, Shaohua Zhang, Shaohua Zhang, Chenxin Yuan, Fei Wang, Fei Wang, Shengqi Zhang, Shengqi Zhang · 发表于：International Journal of Electrical Power & Energy Systems · 年份：2025 · DOI：10.1016/j.ijepes.2025.110516 · 被引用次数：10 · 研究领域：Smart Grid Energy Management、Integrated Energy Systems Optimization、Microgrid Control and Optimization

An integrated energy system (IES) can achieve multi-energy complementarity via its integrated demand response (IDR) program. With the continuous development of IES and the advancement of its marketization, investigating the IDR strategy of IES when it acts as a price maker in multi-energy markets holds significant importance. In this paper, we propose a bi-level model to determine the IDR strategy of an IES by considering its interactions with multi-energy markets. The upper-level formulates the IES’s IDR decision-making in response to the electricity and natural gas prices, including electricity purchases from the electricity market (EM), natural gas purchases from the natural gas market (NGM), electricity and heat consumption. The lower-level describes the games of supply function bidding among the power generators (PGs) in EM and the natural gas companies (NGCs) in NGM. Specifically, using ordinal potential game (OPG) theory, we construct an ordinal potential function (OPF) for the OPG model of multi-energy markets. This enables us to find the Nash equilibrium (NE) of the games in EM and NGM through the multi-energy markets’ OPF. The information gap decision theory (IGDT) is employed to address the severe uncertainty of wind power. Furthermore, the existence and uniqueness of the solution for the bi-level model are theoretically proven. Based on this, we develop a distributed algorithm to handle the information asymmetry. Simulation results demonstrate the effectiveness of...