Open Access

ARTICLE

Research on Operation Optimization of Energy Storage Power Station and Integrated Energy Microgrid Alliance Based on Stackelberg Game

Yu Zhang^*, Lianmin Li, Zhongxiang Liu, Yuhu Wu

College of Mechanical and Control Engineering, Guilin University of Technology, Gulin, 541006, China

* Corresponding Author: Yu Zhang. Email:

Energy Engineering 2024, 121(5), 1209-1221. https://doi.org/10.32604/ee.2024.046141

Received 20 September 2023; Accepted 08 December 2023; Issue published 30 April 2024

Abstract

With the development of renewable energy technologies such as photovoltaics and wind power, it has become a research hotspot to improve the consumption rate of new energy and reduce energy costs through the deployment of energy storage. To solve the problem of the interests of different subjects in the operation of the energy storage power stations (ESS) and the integrated energy multi-microgrid alliance (IEMA), this paper proposes the optimization operation method of the energy storage power station and the IEMA based on the Stackelberg game. In the upper layer, ESS optimizes charging and discharging decisions through a dynamic pricing mechanism. In the lower layer, IEMA optimizes the output of various energy conversion coupled devices within the IEMA, as well as energy interaction and demand response (DR), based on the energy interaction prices provided by ESS. The results demonstrate that the optimization strategy proposed in this paper not only effectively balances the benefits of the IEMA and ESS but also enhances energy consumption rates and reduces IEMA energy costs.

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Graphical Abstract

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