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 (AYR) 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.
|Number of pages||10|
|Journal||Engineering Applications of Artificial Intelligence|
|Publication status||Published - 2005 Feb|
Bibliographical noteFunding Information:
This work was supported by the National Science Foundation (NSF), USA under Grant No. ECS-0231632, Duke Power Company, Charlotte, USA, Georgia Institute of Technology, Atlanta, USA, and University of Missouri-Rolla, USA.
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Artificial Intelligence
- Electrical and Electronic Engineering