Non-cooperative Game Optimization Model for Multiple Integrated Energy Systems

With the development of integrated energy system (IES), it has become a trend to form multiple integrated energy systems (MIESs) in a certain region. In the MIESs, each IES can not only directly trade with the external energy networks, but also trade with other IESs. In this case, there is trading competition between different IESs. Therefore, this paper proposes a non-cooperative game optimization model of MIESs, which considers the energy trading. At the same time, a dynamic energy pricing mechanism is proposed for supporting the energy trading among MIESs. In addition, the above model is complex optimization problem, which is difficult to be solved by the mathematical methods. This paper uses salp swarm algorithm (SSA) to solve it. Case analysis proves that the above model establishes a reasonable the energy trading price and effectively reduces total cost of MIESs (up to 7.38%).