Name
Abstract | ||
|---|---|---|
Synchronous generator (SG) modeling plays an important role in system planning, operation and post-disturbance analysis. This paper presents an improved algorithm named Particle Swarm Optimization with Quantum Operation (PSO-QO) to solve both offline and online parameters estimation problem for SG. First, the hybrid algorithm is proposed to increase the convergence speed and identification accuracy of the basic Particle Swarm Optimization (PSO). An illustrative example for parameters identification of SG is provided to confirm the validity, as compared with Linearly Decreasing Inertia Weight PSO (LDW-PSO), and the Quantum Particle Swarm Optimization (QPSO) in terms of parameter estimation accuracy and convergence speed. Second, PSO-QO is also improved to detect and determine parameters variation. In this case, a sentry particle is introduced to detect any changes in system parameters. Simulation results confirm that the proposed algorithm is a viable alternative for online parameters detection and parameters identification of SG. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1016/j.engappai.2011.05.012 | Eng. Appl. of AI |
Keywords | Field | DocType |
convergence speed,parameters identification,particle swarm optimization,state space model,identification accuracy,basic particle swarm optimization,nonlinear state space model,parameters variation,online parameters estimation problem,hybrid algorithm,synchronous generator,quantum particle swarm optimization,particle swarm optimization with quantum operation,online parameters detection,parameter estimation | Particle swarm optimization,Convergence (routing),Mathematical optimization,Hybrid algorithm,Computer science,State-space representation,Multi-swarm optimization,Estimation theory,Quantum operation,Permanent magnet synchronous generator | Journal |
Volume | Issue | ISSN |
24 | 7 | Engineering Applications of Artificial Intelligence |
Citations | PageRank | References |
4 | 0.46 | 12 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pangao Kou | 1 | 123 | 5.40 |
| Jianzhong Zhou | 2 | 511 | 55.54 |
| Changqing Wang | 3 | 4 | 0.46 |
| Han Xiao | 4 | 43 | 6.29 |
| Huifeng Zhang | 5 | 45 | 11.15 |
| Chaoshun Li | 6 | 42 | 7.51 |