Name
Abstract | ||
|---|---|---|
With the rapid development of microgrids, generator excitation control for multi-machine systems to improve the stability of power systems has become a key technical problem. This paper presents an excitation controller design for a typical two-machine system. According to the characteristics of strong nonlinearity, load disturbance and time-varying uncertainty, conventional PID control schemes cannot meet the high quality requirement of excitation control for two-machine systems. A Resource Allocation Network (RAN) based neural PID adaptive generator excitation control is proposed for two-machine systems. The parameters of the PID controller can be adjusted dynamically according to the RAN-enabled online model. The validity of the proposed control strategy is demonstrated by the simulation results. |
Year | Venue | Keywords |
|---|---|---|
2015 | 2015 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) | neural PID adaptive control, Synchronous generator, two-machine system |
Field | DocType | ISSN |
MATLAB,Nonlinear system,PID controller,Computer science,Control theory,Electric power system,Excitation,Control engineering,Resource allocation,Control system,Online model | Conference | 2161-4393 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jing Yang | 1 | 3 | 1.85 |
| Tengfei Zhang | 2 | 11 | 1.29 |
| Fumin Ma | 3 | 3 | 2.39 |
| Gregory M. P. O'Hare | 4 | 977 | 103.51 |
| Michael J. O'Grady | 5 | 0 | 0.68 |