Title :
A Multiple Scenario Security Constrained Reactive Power Planning Tool Using EPSO
Author :
Keko, H. ; Duque, A. Jaramillo ; Miranda, V.
Author_Institution :
Inst. of Eng., INESC-Porto, Porto
Abstract :
Evolutionary particle swarm optimization (EPSO) is a robust optimization algorithm belonging to evolutionary methods. EPSO borrows the movement rules from particle swarm optimization (PSO) and uses it as a recombination operator that evolves under selection. This paper presents a reactive power planning approach taking advantage of EPSO robustness, in a model that considers simultaneously multiple contingencies and multiple load levels. Results for selected problems are summarized including a trade-off analysis of results.
Keywords :
particle swarm optimisation; reactive power control; FACTS devices; capacitor banks; evolutionary particle swarm optimization; reactive power compensation; security constrained reactive power planning tool; transformer taps; voltage-regulated buses; Electric variables control; Evolutionary computation; Particle swarm optimization; Power system modeling; Power system planning; Power systems; Reactive power; Reactive power control; Robustness; Security; evolutionary algorithms; particle swarm optimization; reactive power planning;
Conference_Titel :
Intelligent Systems Applications to Power Systems, 2007. ISAP 2007. International Conference on
Conference_Location :
Toki Messe, Niigata
Print_ISBN :
978-986-01-2607-5
Electronic_ISBN :
978-986-01-2607-5
DOI :
10.1109/ISAP.2007.4441589