Title :
Swarm Intelligence for Optimal Reactive Power Dispatch
Author :
Lai, L.L. ; Nieh, T.Y. ; Vujatovic, D. ; Ma, Y.N. ; Lu, Y.P. ; Yang, Y.W. ; Braun, H.
Author_Institution :
Energy Syst. Group, City Univ. London
Abstract :
This paper presents swarm intelligence to solve optimal reactive power dispatch (ORPD) problem. Results derived with swarm intelligence, improved genetic algorithm and a conventional gradient-based optimization method were compared. The comparison shows that swarm intelligence would produce similar results on the IEEE 30-bus system as those from improved genetic algorithm while the conventional method was not as good as the other two in solving ORPD problem
Keywords :
artificial intelligence; genetic algorithms; power generation dispatch; power system analysis computing; reactive power; IEEE 30-bus system; genetic algorithm; optimal reactive power generation dispatch problem; swarm intelligence; Equations; Genetic algorithms; Large-scale systems; Linear programming; Optimization methods; Particle swarm optimization; Power generation; Power systems; Reactive power; Static VAr compensators; Swarm Intelligence; genetic algorithm; large-scale power systems; reactive power dispatch;
Conference_Titel :
Transmission and Distribution Conference and Exhibition: Asia and Pacific, 2005 IEEE/PES
Conference_Location :
Dalian
Print_ISBN :
0-7803-9114-4
DOI :
10.1109/TDC.2005.1547197
