Autonomous Household Energy Management Based on a Double Cooperative Game Approach in the Smart Grid

Bingtuan Gao, Xiaofeng Liu, Wenhu Zhang and Yi Tang
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Bingtuan Gao: School of Electrical Engineering, Southeast University, Nanjing 210096, Jiangsu, China
Xiaofeng Liu: School of Electrical Engineering, Southeast University, Nanjing 210096, Jiangsu, China
Wenhu Zhang: School of Electrical Engineering, Southeast University, Nanjing 210096, Jiangsu, China
Yi Tang: School of Electrical Engineering, Southeast University, Nanjing 210096, Jiangsu, China

Energies, 2015, vol. 8, issue 7, 1-18

Abstract: Taking advantage of two-way communication infrastructure and bidirectional energy trading between utility companies and customers in the future smart grid (SG), autonomous energy management programs become crucial to the demand-side management (DSM). Most of the existing autonomous energy management schemes are for the scenario with a single utility company or the scenario with one-way energy trading. In this paper, an autonomous household energy management system with multiple utility companies and multiple residential customers is studied by considering the bidirectional energy trading. To minimize the overall costs of both the utility companies and the residential customers, the energy management system is formulated as a double cooperative game. That is, the interaction among the residential users is formulated as a cooperative game, where the players are the customers and the strategies are the daily schedules of their household appliances; and the interaction among the utility companies is also formulated as a cooperative game, where the players are the suppliers and the strategies are the proportions of the daily total energy they provide for the customers. Without loss of generality, the bidirectional energy trading in the double cooperative game is formulated by allowing plug-in electric vehicles (PEVs) to discharge and sell energy back. Two distributed algorithms will be provided to realize the global optimal performance in terms of minimizing the energy costs, which can be guaranteed at the Nash equilibriums of the formulated cooperative games. Finally, simulation results illustrated that the proposed double cooperative game can benefit both the utility companies and residential users significantly.

Keywords: demand-side management (DSM); energy consumption scheduling (ECS); cooperative game; plug-in electric vehicle (PEV); smart grid (SG) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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