Electricity Consumption Scheduling with Consumers＇ Comfort and Preference in Smart Grid

• Published in: Chinese Journal of Electronics Vol. 25; no. 6; pp. 1151 - 1158
• Main Authors: Zhou, Wenhui, Wu, Jie, Zhong, Weifeng, Zou, Sheng
• Format: Journal Article
• Language: English
• Published: Published by the IET on behalf of the CIE 01.11.2016
• Subjects: Comfort and preference; consumer comfort; consumer preference; cost reduction; domestic appliances; Electricity consumption scheduling; electricity cost reduction; Game theory; game theory based scheduling method; household electricity consumption; Nash equilibrium; noncooperative game model; numerical analysis; numerical simulation; optimisation; power consumption; scheduling; smart grid; smart power grids; SO model; system optimization model; UO model; utility optimization model; Electricity consumption scheduling; Game theory; Comfort and preference
• ISSN: 1022-4653; 2075-5597
• DOI: 10.1049/cje.2016.08.037

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.