Study on Strategic Equilibria of Tobacco Industry Power Energy Markets in Post- epidemic Era

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Jiang Nan, Xue Weixian

Abstract

This paper aims to solve the strategic balance issues in tobacco industry energy markets in the post-epidemic era, based on the game theory, a strategic equilibrium model for power networks is proposed after evaluating users, power grid company in tobacco industry, and new power entities. By analyzing the claims and interests of relevant transaction subjects, an optimization computation model for tobacco industry power energy markets is constructed, meanwhile the flowchart of finding the Nash optimized solutions is also presented on basis of the genetic algorithm (GA), and the physical meaning of the Nash solutions are explained. The research results can provide some fundamental support and practical suggestions for the related aspects of the power energy markets, along with the economists who study the market design and prediction.

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