Optimal Scheduling of Integrated Energy Systems Considering Master-slave Games and User Comfort

• Published in: IEEE International Conference on Power and Renewable Energy (Online) pp. 1922 - 1927
• Main Authors: Gao, Cong, Xu, Jianwei, Li, Weikang, Wang, Shuyu, Ge, Haoran, Ma, Gang
• Format: Conference Proceeding
• Language: English
• Published: IEEE 22.09.2023
• Subjects: Dynamic scheduling; Games; Heuristic algorithms; integrated energy operator; integrated regional energy system; Main-secondary; master-slave game; Mathematical models; Optimal scheduling; Renewable energy sources
• ISSN: 2768-0525
• DOI: 10.1109/ICPRE59655.2023.10353767

Integrated energy system has significant benefits in improving energy utilisation, and gradually becomes a research hotspot, how to establish the optimal operation model of the integrated energy operator (IEO) and the users is an urgent problem to be solved nowadays. Firstly, this paper constructs a framework for the operation of regional integrated energy system and analyses the coupling relationship between the subjects in the system. Secondly, a demand response flexible load model is established to consider the response comfort, and the flexible load incentive strategy is dynamically adjusted according to the energy comfort. Then, the game relationship between IEO and user aggregators is analysed, the Stackelberg game model between IEO and users is proposed, and the existence and uniqueness of the Stackelberg equilibrium solution is proved. Finally, the master-slave game objective is regarded as a nonlinear optimisation problem, and the dynamic operator adjustment genetic algorithm is used to solve the problem, and the experimental study through Matlab to establish the arithmetic simulation shows that this scheduling strategy can realise the joint improvement of the benefits of the management side and the user side.