Title :
An auction-based dispatch algorithm for deregulated power systems
Author :
Huang, Garng ; Zhao, Qing
Author_Institution :
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
Abstract :
The classical economic dispatch algorithm relies on the convexity of the cost function, but in a deregulated power market, the market strategy may make the seller´s bidden cost function concave, and causes the classical economic dispatch algorithm to be inapplicable. To solve this problem, an efficient algorithm is proposed in this paper
Keywords :
computational complexity; electricity supply industry; genetic algorithms; load dispatching; power system economics; quadratic programming; Kuhn-Tucker theorem; NP-hard problem; auction-based dispatch algorithm; concave cost function; deregulated power systems; economics dispatch; genetic algorithm; global optimisation; indefinite quadratic programming; market strategy; seller´s bidden cost function; Cost function; Genetic algorithms; Heuristic algorithms; NP-hard problem; Power generation economics; Power markets; Power system economics; Power systems; Production systems; Quadratic programming;
Conference_Titel :
Power Engineering Society Winter Meeting, 2000. IEEE
Print_ISBN :
0-7803-5935-6
DOI :
10.1109/PESW.2000.850120
