Evaluation of Demand-Side Management over Pricing Competition of Multiple Suppliers Having Heterogeneous Energy Sources

被引:12
作者
Han, Kireem [1 ]
Lee, Joohyung [2 ]
Choi, Junkyun [1 ]
机构
[1] Korea Adv Inst Sci & Technol, Sch Elect Engn, Daejeon 34051, South Korea
[2] Gachon Univ, Dept Software, Seongnam 13120, South Korea
来源
ENERGIES | 2017年 / 10卷 / 09期
关键词
demand-side management; pricing mechanism; stackelberg game; equilibrium analysis; heterogeneous energy sources; ELECTRIC-POWER MARKETS; GAME; FRAMEWORK; MECHANISM;
D O I
10.3390/en10091342
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This study investigates a demand-side management problem in which multiple suppliers compete with each other to maximize their own revenue. We consider that suppliers have heterogeneous energy sources and individually set the unit price of each energy source. Then, consumers that share a net utility react to the suppliers' decisions on prices by deciding the amount of energy to request, or how to split the consumers' aggregated demand over multiple suppliers. In this case, the consumers need to consider the power loss and the price to pay for procuring electricity. We analyze the economic benefits of such a pricing competition among suppliers (e.g., a demand-side management that considers consumers' reaction). This is achieved by designing a hierarchical decision-making scheme as a multileader-multifollower Stackelberg game. We show that the behaviors of both consumers and suppliers based on well-designed utility functions converge to a unique equilibrium solution. This allows them to maximize the payoff from all participating consumers and suppliers. Accordingly, closed-form expressions are provided for the corresponding strategies of the consumers and the suppliers. Finally, we provide numerical examples to illustrate the effectiveness of the solutions. This game-theoretic study provides an example of incentives and insight for demand-side management in future power grids.
引用
收藏
页数:16
相关论文
共 36 条
[1]  
Alshehri K.M.A., 2015, THESIS
[2]   A distributed power sharing framework among households in microgrids: a repeated game approach [J].
AlSkaif, Tarek ;
Guerrero Zapata, Manel ;
Bellalta, Boris ;
Nilsson, Anders .
COMPUTING, 2017, 99 (01) :23-37
[3]  
[Anonymous], 2008, POWER SYSTEMS DYNAMI
[4]   Challenges and Opportunities in Smart Grid: A Position Article [J].
Arnold, George W. .
PROCEEDINGS OF THE IEEE, 2011, 99 (06) :922-927
[5]  
Bertsekas DP, 2003, NONLINEAR PROGRAMMIN
[6]  
Boyd S., 2004, CONVEX OPTIMIZATION
[7]  
Callahan J. J., 2010, ADV CALCULUS GEOMETR
[8]  
Gromicho J., 1998, QUASICONVEX OPTIMIZA
[9]   Gaming and price spikes in electric power markets [J].
Guan, XH ;
Ho, YC ;
Pepyne, DL .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2001, 16 (03) :402-408
[10]  
Ibars C, 2010, INT CONF SMART GRID, P495, DOI 10.1109/SMARTGRID.2010.5622091