Open AccessMulti‐energy Demand Response Management in Energy Internet: A Stackelberg Game Approach
Author(s) -
Wu Jie,
Zhou Wenhui,
Zhong Weifeng,
Liu Jinhua
Publication year - 2019
Publication title -
chinese journal of electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 25
eISSN - 2075-5597
pISSN - 1022-4653
DOI - 10.1049/cje.2019.03.011
Subject(s) - stackelberg competition , energy (signal processing) , computer science , schedule , demand response , game theory , the internet , uniqueness , best response , energy consumption , mathematical optimization , microeconomics , economics , electricity , mathematics , mathematical analysis , statistics , world wide web , electrical engineering , engineering , operating system , ecology , biology
A multi‐energy Demand response management (DRM) approach in Energy Internet is proposed by employing Stackelberg game theory. The multi‐energy trading problem in DRM is formulated as a Stackelberg game, where an energy provider, as a leader, adjusts energy prices, and residential smart energy hubs, as followers, dynamically schedule multiple energy flows according to the prices. The existence and uniqueness of the equilibrium of the proposed game model are analyzed. A multi‐energy DRM algorithm for reaching the game equilibrium is developed. Simulation results show that the proposed game‐based approach can effectively reduce residential energy costs and improve revenues of the energy provider.