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Decentralized optimal neuro-controllers for generation and transmission devices in an electric power network
- Source :
-
Engineering Applications of Artificial Intelligence . Feb2005, Vol. 18 Issue 1, p37-46. 10p. - Publication Year :
- 2005
-
Abstract
- Abstract: In this paper, the dual heuristic programming (DHP) optimization algorithm is applied for the design of two LOCAL nonlinear optimal neuro-controllers on a practical multi-machine power system. One neuro-controller is designed to replace the conventional linear controllers, which are the automatic voltage regulator (AVR) and speed-governor (GOV), for a synchronous generator. The other is a new external neuro-controller for the series capacitive reactance compensator (SCRC), flexible ac transmission systems (FACTS) device. The PSCAD/EMTDC® simulation results show that interactions of two DHP neuro-controllers with different control objectives improve the system performance more effectively compared to when each one operates without the presence of the other one. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 09521976
- Volume :
- 18
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Engineering Applications of Artificial Intelligence
- Publication Type :
- Academic Journal
- Accession number :
- 19254017
- Full Text :
- https://doi.org/10.1016/j.engappai.2004.08.014