A Stackelberg game-theoretic approach to optimal real-time pricing for the smart grid

被引:106
作者
Meng, Fan-Lin [1 ]
Zeng, Xiao-Jun [1 ]
机构
[1] Univ Manchester, Sch Comp Sci, Manchester M13 9PL, Lancs, England
关键词
Stackelberg game; Real-time pricing; Energy consumption scheduling; Genetic algorithms; Smart grid; ALGORITHM;
D O I
10.1007/s00500-013-1092-9
中图分类号
TP18 [人工智能理论];
学科分类号
140502 [人工智能];
摘要
This paper proposes a Stackelberg game approach to maximize the profit of the electricity retailer (utility company) and minimize the payment bills of its customers. The electricity retailer determines the retail price through the proposed smart energy pricing scheme to optimally adjust the real-time pricing with the aim to maximize its profit. The price information is sent to the customers through a smart meter. According to the announced price, the customers can automatically manage the energy use of appliances in the households by the proposed optimal electricity consumption scheduling system with the aim to minimize their electricity bills. We model the interactions between the retailer and its electricity customers as a 1-leader, N-follower Stackelberg game. At the leader's side, i.e., for the retailer, we adopt genetic algorithms to maximize its profit while at the followers' side, i.e., for customers, we develop an analytical solution to the linear programming problem to minimize their bills. Simulation results show that the proposed approach is beneficial for both the customers and the retailer.
引用
收藏
页码:2365 / 2380
页数:16
相关论文
共 25 条
[1]
Bashir HA, 2013, ARXIV13033469
[2]
A ComDarison of Selection Schemes Used in Evolutionary Algorithms [J].
Blickle, Tobias ;
Thiele, Lothar .
EVOLUTIONARY COMPUTATION, 1996, 4 (04) :361-394
[3]
Chen C, 2011, INT CONF ACOUST SPEE, P5956
[4]
Chen J, 2012, INT CONF SMART GRID, P546, DOI 10.1109/SmartGridComm.2012.6486042
[5]
Evens S. K. Corentin, 2009, VTTR0638809 TECHN RE
[6]
Fadlullah Z.M., 2011, P INT C WIRELESS COM, P1, DOI DOI 10.1109/WCSP.2011.6096962
[7]
Kuri-Morales AF, 2001, P 2 MEX INT C ART IN, P108
[8]
Bilevel programming and price setting problems [J].
Labbe, Martine ;
Violin, Alessia .
4OR-A QUARTERLY JOURNAL OF OPERATIONS RESEARCH, 2013, 11 (01) :1-30
[9]
Li N., 2011, P IEEE POW EN SOC GE, P1, DOI DOI 10.1109/PES.2011.6039082
[10]
Autonomous Demand-Side Management Based on Game-Theoretic Energy Consumption Scheduling for the Future Smart Grid [J].
Mohsenian-Rad, Amir-Hamed ;
Wong, Vincent W. S. ;
Jatskevich, Juri ;
Schober, Robert ;
Leon-Garcia, Alberto .
IEEE TRANSACTIONS ON SMART GRID, 2010, 1 (03) :320-331