Open AccessElectricity Consumption Scheduling with Consumers' Comfort and Preference in Smart Grid
Author(s) -
Zhou Wenhui,
Wu Jie,
Zhong Weifeng,
Zou Sheng
Publication year - 2016
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.2016.08.037
Subject(s) - smart grid , preference , electricity , consumption (sociology) , grid , computer science , scheduling (production processes) , automotive engineering , operations management , microeconomics , electrical engineering , economics , engineering , mathematics , social science , sociology , geometry
A game theory based scheduling method for household electricity consumption in smart grid is proposed in this paper. A non‐cooperative game model is employed during the scheduling. All household consumers compete with each other and control their loads to maximize their payoffs. For solving the scheduling problem, we formulate the Utility optimization (UO) model, in which the electricity cost reduction and the improvement of consumers' comfort and preference are considered simultaneously. The System optimization (SO) model only minimizes the electricity cost when scheduling the consumers' electricity consumption. Then we compare and analyze the two models in numerical simulation. The existence and the uniqueness of Nash equilibrium for proposed game model are proved. Simulation results show that the UO model provides an effective scheduling approach to achieve higher comfort and preference and at the same time decrease the energy cost.