DocumentCode :
2610882
Title :
Congestion Influence on Bidding Strategies in an Electricity Market
Author :
Tsay, Ming-Tong ; Gow, Hong-Jey
Author_Institution :
Dept. of Electr. Eng., Cheng-Shiu Univ., Kaohsiung
fYear :
2005
fDate :
2005
Firstpage :
1
Lastpage :
6
Abstract :
In this paper, a bidding strategy is developed from the viewpoint of utility wishing to maximize its profit in a congestion environment. The proposed algorithm is formulated as a two steps optimization problem. At the first step, a bidding strategy is solved to maximize its expected profit, and at the second step, a curtailment strategy will be perform to maximize the participant´s profit when the system occurs the transmission congestion. An immune algorithm (RIA) with scale scheme system (SSS) is proposed to solve the optimization problem. It has advantages and some characteristics to show a better performance than many other algorithms. The IEEE 30 bus is selected for test. Simulation results have a good result with this standard to obtain an optimal bidding strategy for electricity suppliers under the congestion environment
Keywords :
optimisation; power markets; power transmission; IEEE 30 bus; bidding strategies; curtailment strategy; electricity market; immune algorithm; optimization; profit maximization; scale scheme system; transmission congestion; Artificial intelligence; Costs; Electricity supply industry; Electricity supply industry deregulation; Helium; ISO; Power system modeling; Power system security; Power transmission lines; Testing; IPP; Immune Algorithm; bidding strategy; congestion environment; independent power producers(IPPs); maximal profit; scale scheme system(SSS);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Transmission and Distribution Conference and Exhibition: Asia and Pacific, 2005 IEEE/PES
Conference_Location :
Dalian
Print_ISBN :
0-7803-9114-4
Type :
conf
DOI :
10.1109/TDC.2005.1546778
Filename :
1546778
Link To Document :
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