TY - GEN
T1 - Gaming behavior in wholesale electricity markets with active demand response
AU - Yao, Gaorui
AU - Wu, Jiang
AU - Liu, Xilin
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/1
Y1 - 2017/7/1
N2 - Consumers can become more active players in wholesale electricity market with demand response (DR) programs. This paper focuses on the gaming behavior analysis both on supply side and demand side when dynamic pricing introduced in wholesale electricity markets. To highlight the different demand flexibility and response ability of different customers, the optimal response strategies of three kinds of demand response programs are modeled separately. The optimal bidding strategies of supply side are formulated as linear supply function (LSF) bidding. Then this paper presents the market clearing model by a minimum cost unit commitment method and equilibrium results of supply and demand side real-time response to dynamic pricing by a repeated gaming framework. Finally, the gaming behaviors of different types of consumers and different capacities of generators are discussed by study cases.
AB - Consumers can become more active players in wholesale electricity market with demand response (DR) programs. This paper focuses on the gaming behavior analysis both on supply side and demand side when dynamic pricing introduced in wholesale electricity markets. To highlight the different demand flexibility and response ability of different customers, the optimal response strategies of three kinds of demand response programs are modeled separately. The optimal bidding strategies of supply side are formulated as linear supply function (LSF) bidding. Then this paper presents the market clearing model by a minimum cost unit commitment method and equilibrium results of supply and demand side real-time response to dynamic pricing by a repeated gaming framework. Finally, the gaming behaviors of different types of consumers and different capacities of generators are discussed by study cases.
UR - https://www.scopus.com/pages/publications/85044967620
U2 - 10.1109/COASE.2017.8256264
DO - 10.1109/COASE.2017.8256264
M3 - 会议稿件
AN - SCOPUS:85044967620
T3 - IEEE International Conference on Automation Science and Engineering
SP - 1186
EP - 1190
BT - 2017 13th IEEE Conference on Automation Science and Engineering, CASE 2017
PB - IEEE Computer Society
T2 - 13th IEEE Conference on Automation Science and Engineering, CASE 2017
Y2 - 20 August 2017 through 23 August 2017
ER -