A multi-time scale demand response scheme based on noncooperative game for economic operation of industrial park

Wenna Zhao, Kai Ma, Jie Yang and Shiliang Guo

Energy, 2024, vol. 302, issue C

Abstract: Implementation of demand response (DR) program in industrial park is an effective way to relieve the pressure of power grid and increase the revenue of users. However, the fluctuation of PV generation and loads impairs the effect of DR program. Therefore, this paper proposes a multi-time scale demand response scheme based on noncooperative game for an industrial park with integrated energy system (IES). In the day-ahead scheduling, industrial users (IUs) and IES participate in the DR program of power grid, and IUs obtains the optimal electricity regulation amount (ERA) through noncooperative game. Further, a new solution scheme is developed to solve the discrete issue of production scheduling of IUs in the game and determine the actual ERA of IUs and IES. Accordingly, the production plans of IUs and operating states of IES equipment are determined, respectively. In the intra-day scheduling, the rolling optimization algorithm is adopted to determine the optimal dispatch plan of IES based on the optimized values of day-ahead scheduling and the short-term forecast of PV generation and IUs’ nonproductive loads. The simulation results indicate that proposed scheme effectively reduces the costs of IUs and increases the revenue of IES in industrial park.

Keywords: Demand response; Industrial park; Multi-time scale optimization; Noncooperative game; Integrated energy system (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:302:y:2024:i:c:s0360544224016487

DOI: 10.1016/j.energy.2024.131875

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