Name
Title | ||
|---|---|---|
The Application of the Particle Swarm Algorithm to Optimize PID Controller in the Automatic Voltage Regulation System. |
Abstract | ||
|---|---|---|
Automatic voltage regulation (AVR) is a system that used to adjust the voltage stability and balance reactive power and also for regulating power plant generator. Focusing on the traditional PID automatic voltage regulation system, this paper investigated the effect of particle swarm optimization (PSO) algorithm in optimizing the parameters of PID controller in AVR system, and compared with genetic algorithm (GA) for PID parameters optimization. The simulation results showed that the AVR system optimized by PSO had more stability and robustness, which indicated the good application prospect of the proposed method. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/978-981-10-6364-0_53 | ADVANCED COMPUTATIONAL METHODS IN ENERGY, POWER, ELECTRIC VEHICLES, AND THEIR INTEGRATION, LSMS 2017, PT 3 |
Keywords | DocType | Volume |
Automatic voltage regulation,Particle swarm optimization,PID,Genetic algorithm | Conference | 763 |
ISSN | Citations | PageRank |
1865-0929 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jing Wang | 1 | 507 | 93.00 |
| Naichao Song | 2 | 0 | 0.34 |
| Enyu Jiang | 3 | 0 | 0.34 |
| Da Xu | 4 | 3 | 3.10 |
| Weihua Deng | 5 | 405 | 41.58 |
| Ling Mao | 6 | 1 | 1.11 |