Demand Response Management With Multiple Utility Companies: A Two-Level Game Approach

被引:316
作者
Chai, Bo [1 ]
Chen, Jiming [1 ]
Yang, Zaiyue [1 ]
Zhang, Yan [2 ,3 ]
机构
[1] Zhejiang Univ, State Key Lab Ind Control Technol, Hangzhou 310027, Zhejiang, Peoples R China
[2] Simula Res Lab, N-1325 Oslo, Norway
[3] Univ Oslo, N-0316 Oslo, Norway
关键词
Demand response management; energy pricing; evolutionary game; nash equilibrium; smart grid; SMART; CHALLENGES; ALGORITHM;
D O I
10.1109/TSG.2013.2295024
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Demand Response Management (DRM) is a key component of the future smart grid that helps to reduce power peak load and variation. Different from most existing studies that focus on the scenario with a single utility company, this paper studies DRM with multiple utility companies. First, the interaction between utility companies and residential users is modeled as a two-level game. That is, the competition among the utility companies is formulated as a non-cooperative game, while the interaction among the residential users is formulated as an evolutionary game. Then, we prove that the proposed strategies are able to make both games converge to their own equilibrium. In addtion, the strategies for the utility companies and the residential users are implemented by distributed algorithms. Illustrative examples show that the proposed scheme is able to significantly reduce peak load and demand variation.
引用
收藏
页码:722 / 731
页数:10
相关论文
共 35 条
[21]   Dependable Demand Response Management in the Smart Grid: A Stackelberg Game Approach [J].
Maharjan, Sabita ;
Zhu, Quanyan ;
Zhang, Yan ;
Gjessing, Stein ;
Basar, Tamer .
IEEE TRANSACTIONS ON SMART GRID, 2013, 4 (01) :120-132
[22]  
Massoud Amin S., 2005, IEEE Power & Energy Magazine, V3, P34, DOI 10.1109/MPAE.2005.1507024
[23]   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
[24]   Optimal Residential Load Control With Price Prediction in Real-Time Electricity Pricing Environments [J].
Mohsenian-Rad, Amir-Hamed ;
Leon-Garcia, Alberto .
IEEE TRANSACTIONS ON SMART GRID, 2010, 1 (02) :120-133
[25]  
Myerson R.B., 2013, Game Theory
[26]   Convergence of cognitive radio networks [J].
Neel, JO ;
Reed, JH ;
Gilles, RP .
2004 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE, VOLS 1-4: BROADBAND WIRELESS - THE TIME IS NOW, 2004, :2250-2255
[27]   Dynamics of Multiple-Seller and Multiple-Buyer Spectrum Trading in Cognitive Radio Networks: A Game-Theoretic Modeling Approach [J].
Niyato, Dusit ;
Hossain, Ekram ;
Zhu Han .
IEEE TRANSACTIONS ON MOBILE COMPUTING, 2009, 8 (08) :1009-1022
[28]   Dynamics of Network Selection in Heterogeneous Wireless Networks: An Evolutionary Game Approach [J].
Niyato, Dusit ;
Hossain, Ekram .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2009, 58 (04) :2008-2017
[29]  
Samadi P, 2010, INT CONF SMART GRID, P415, DOI 10.1109/SMARTGRID.2010.5622077
[30]   Demand Response as a Load Shaping Tool in an Intelligent Grid With Electric Vehicles [J].
Shao, Shengnan ;
Pipattanasomporn, Manisa ;
Rahman, Saifur .
IEEE TRANSACTIONS ON SMART GRID, 2011, 2 (04) :624-631