Title :
A multi-objective solution for deregulated power markets
Author :
Huang, Garng ; Zhao, Qing
Author_Institution :
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
Abstract :
In this paper, a new market allocation method is proposed and the deregulated power market is formulated as a multi-objective optimization problem. An efficient algorithm that exploits simplicity out of a complex search to speed up the searching process is proposed and solves this problem accurately
Keywords :
costing; electricity supply industry; optimisation; power system economics; complex search; deregulated power markets; market allocation method; multi-objective optimization problem; multi-objective solution; searching process; Cost function; Electricity supply industry deregulation; Fluctuations; Genetic algorithms; Optimization methods; Power markets; Power system interconnection; Power system modeling; Power system security; Protocols;
Conference_Titel :
Power Engineering Society Summer Meeting, 1999. IEEE
Conference_Location :
Edmonton, Alta.
Print_ISBN :
0-7803-5569-5
DOI :
10.1109/PESS.1999.787392
