Open AccessMaster-slave game Modeling of Energy subsidy pricing based on demand response
Author(s) -
Yongli Wang,
Suhang Yao,
Minhan Zhou,
Huanran Dong,
Daomin Qu,
Jie Bai
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/621/1/012034
Subject(s) - demand response , subsidy , grid , revenue , variable (mathematics) , computer science , power grid , power (physics) , set (abstract data type) , operations research , game theory , mathematical optimization , microeconomics , industrial engineering , economics , electricity , engineering , mathematics , finance , electrical engineering , market economy , mathematical analysis , physics , geometry , quantum mechanics , programming language
This paper presents a master-slave game model of demand response between power grid companies and multiple users. Firstly, the objective functions of power supplier and power user revenue are established by considering the customer satisfaction and power fluctuation cost. Then, the variables in the model are divided into strategy sets of the two players by the decision variable mapping set technique, and the equilibrium solution is obtained after multiple rounds of games. The example shows that the subsidy price of peak load period can be obtained by the grid company based on the model, and both the grid company and the user can benefit from the demand response.