Title :
A particle swarm optimization for reactive power and voltage control in electric power systems
Author :
Fukuyama, Yoshikazu ; Yoshida, Hirotaka
Author_Institution :
Power Technol. Lab., Fuji Electr. Corp. Res. & Dev. Ltd., Tokyo, Japan
Abstract :
This paper presents a particle swarm optimization (PSO) for reactive power and voltage control (RPVC) in electric power systems. RPVC can be formulated as a mixed-integer nonlinear optimization problem (MINLP). The proposed method expands the original PSO to handle a MINLP and determines an RPVC strategy with continuous and discrete control variables such as automatic voltage regulator (AVR) operating values of generators, tap positions of on-load tap changer (OLTC) of transformers, and the amount of reactive power compensation equipment (RPCE). The feasibility of the proposed method is demonstrated and compared with reactive tabu search (RTS) and the enumeration method on practical power system models with promising results
Keywords :
compensation; evolutionary computation; integer programming; nonlinear programming; reactive power control; search problems; voltage control; MINLP; RPVC; automatic voltage regulator; continuous control; discrete control variables; electric power systems; evolutionary computation; mixed-integer nonlinear optimization problem; onload tap changer; particle swarm optimization; reactive power compensation equipment; reactive power control; reactive tabu search; voltage control; Automatic generation control; Automatic voltage control; Electric variables control; Particle swarm optimization; Power generation; Power system modeling; Reactive power; Reactive power control; Regulators; Voltage control;
Conference_Titel :
Evolutionary Computation, 2001. Proceedings of the 2001 Congress on
Conference_Location :
Seoul
Print_ISBN :
0-7803-6657-3
DOI :
10.1109/CEC.2001.934375