Name
Title | ||
|---|---|---|
The use of integral adaptation principle to increase the reliability of synchronous generator nonlinear excitation system |
Abstract | ||
|---|---|---|
Nowadays the consumption of electrical energy is increased together with more complexity of power system structure and interconnection of its components. According to these facts, to control the power system synchronous generators (SG) with regard to their non-linearity, multi-dimensionality and multi-linkage properties we need to use a fundamentally new approach, namely system-cybernetic one. The paper presents a synergistic synthesis procedure of nonlinear adaptive control law for power system SG excitation in accordance with the principle of integral adaptation of synergetic control theory. The synthesized control law provides implementation of technological invariants, i.e. stabilization of terminal voltage and synchronous operation with network, suppression of parametric perturbation (parametric robustness). Comparative analysis of stability area of the synergistic law with conventional SG excitation control illustrates the significant advantage of the synergetic approach in increasing the power system reliability. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ICUMT.2014.7002137 | Ultra Modern Telecommunications and Control Systems and Workshops |
Keywords | Field | DocType |
adaptive control,machine control,nonlinear control systems,synchronous generators,integral adaptation principle,nonlinear adaptive control law,parametric perturbation suppression,power system SG excitation,power system reliability,power system synchronous generators,synchronous generator nonlinear excitation system reliability,synergetic control theory,synergistic synthesis procedure,technological invariants,terminal voltage stabilization,nonlinear adaptive control,power system reliability,principle of integral adaptation,synchronous generator excitation system,synergetic control theory | Nonlinear system,Control theory,Computer science,Electric power system,Robustness (computer science),Parametric statistics,Adaptive control,Control system,Interconnection,Permanent magnet synchronous generator | Conference |
ISSN | Citations | PageRank |
2157-0221 | 2 | 0.43 |
References | Authors | |
2 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andrey A. Kuz'menko | 1 | 2 | 0.43 |
| Alexander S. Synitsin | 2 | 2 | 0.43 |
| Alisa A. Zyiryanova | 3 | 2 | 0.43 |