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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
https://doi.org/10.1109/aeeca4...
Conference object . 2020 . Peer-reviewed
License: IEEE Copyright
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Equilibrium Trading Strategy of Integrated Energy Systems Based on Non-cooperative Game Theory

Authors: Xiaobo Li; Xuedong Jiang; Yi Wu; Chaoqun Wang; Jing Jiangping; Wei Hu;

Equilibrium Trading Strategy of Integrated Energy Systems Based on Non-cooperative Game Theory

Abstract

This paper presents a novel two-level Stackelberg game strategy to model the competitive relationship between power supply companies, integrated energy systems, and end users in energy trading. In the upper-level game, the power supply company acts as a leader, which stimulates the electricity purchase of the IES by adjusting the electricity price. While the integrated energy system serves as a follower, whose objective is to minimize the operational cost and determine the power purchased according to the electricity price. In the lower-level game, the integrated energy system behaves as a leader, and it sets the energy sales price on the basis of the actual energy demand of the user. As a follower, end users adjust their energy consumption strategies to balance energy purchase expenditure and energy use experience. The proposed two-level game model well describes the competition among the three participants. In order to solve the model, a distributed algorithm using alternating iterations is presented. Numeric studies have demonstrate that the developed game strategy can obtain the equilibrium solution of each participant, and can provide a good reference for energy system trading and operation.

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