Managing Price Uncertainty in Prosumer-Centric Energy Trading: A Prospect-Theoretic Stackelberg Game Approach

被引:126
作者
El Rahi, Georges [1 ]
Etesami, S. Rasoul [2 ]
Saad, Walid [1 ]
Mandayam, Narayan B. [3 ]
Poor, H. Vincent [4 ]
机构
[1] Virginia Tech, Dept Elect & Comp Engn, Blacksburg, VA 24061 USA
[2] Univ Illinois, Dept Ind Engn, Champaign, IL 61820 USA
[3] Rutgers State Univ, Dept Elect Engn, North Brunswick, NJ 08902 USA
[4] Princeton Univ, Dept Elect Engn, Princeton, NJ 08544 USA
关键词
Smart grid; energy trading; prosumers; price uncertainty; game theory; prospect theory; Nash equilibrium; DEMAND-SIDE MANAGEMENT; MODEL;
D O I
10.1109/TSG.2017.2750706
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
In this paper, the problem of energy trading between smart grid prosumers, who can simultaneously consume and produce energy, and a grid power company is studied. The problem is formulated as a single-leader, multiple-follower Stackelberg game between the power company and multiple prosumers. In this game, the power company acts as a leader who determines the pricing strategy that maximizes its profits, while the prosumers act as followers who react by choosing the amount of energy to buy or sell so as to optimize their current and future profits. The proposed game accounts for each prosumer's subjective decision when faced with the uncertainty of profits, induced by the random future price. In particular, the framing effect, from the framework of prospect theory (PT), is used to account for each prosumer's valuation of its gains and losses with respect to an individual utility reference point. The reference point changes between prosumers and stems from their past experience and future aspirations of profits. The followers' non-cooperative game is shown to admit a unique pure-strategy Nash equilibrium (NE) under classical game theory which is obtained using a fully distributed algorithm. The results are extended to account for the case of PT using algorithmic solutions that can achieve an NE under certain conditions. Simulation results shoo that the total grid load varies significantly with the prosumers' reference point and their loss-aversion level. In addition, it is shown that the power company's profits considerably decrease when it fails to account for the prosumers' subjective perceptions under PT.
引用
收藏
页码:702 / 713
页数:12
相关论文
共 36 条
[1]  
[Anonymous], 2014, P 7 IEEE INT C INT C
[2]   Demand-Side Management via Distributed Energy Generation and Storage Optimization [J].
Atzeni, Italo ;
Ordonez, Luis G. ;
Scutari, Gesualdo ;
Palomar, Daniel P. ;
Rodriguez Fonollosa, Javier .
IEEE TRANSACTIONS ON SMART GRID, 2013, 4 (02) :866-876
[3]  
Bertsekas D., 2003, Athena Scientific optimization and computation series
[4]  
Bitar E, 2011, P AMER CONTR CONF, P3886
[5]   Load/Price Forecasting and Managing Demand Response for Smart Grids [J].
Chan, S. C. ;
Tsui, K. M. ;
Wu, H. C. ;
Hou, Yunhe ;
Wu, Yik-Chung ;
Wu, Felix F. .
IEEE SIGNAL PROCESSING MAGAZINE, 2012, 29 (05) :68-85
[6]  
Chen J, 2012, INT CONF SMART GRID, P546, DOI 10.1109/SmartGridComm.2012.6486042
[7]   Real-Time Price-Based Demand Response Management for Residential Appliances via Stochastic Optimization and Robust Optimization [J].
Chen, Zhi ;
Wu, Lei ;
Fu, Yong .
IEEE TRANSACTIONS ON SMART GRID, 2012, 3 (04) :1822-1831
[8]  
El Rahi G, 2016, ANN ALLERTON CONF, P248, DOI 10.1109/ALLERTON.2016.7852237
[9]  
Etesami S. R., IEEE T AUTOM CONTROL
[10]   Generalized Nash equilibrium problems [J].
Facchinei, Francisco ;
Kanzow, Christian .
4OR-A QUARTERLY JOURNAL OF OPERATIONS RESEARCH, 2007, 5 (03) :173-210