Decentralized optimal neuro-controllers for generation and transmission devices in an electric power network

Authors:
Jung-Wook Park;Ronald G. Harley;Ganesh K. Venayagamoorthy
Affiliations:
Department of Electrical and Computer Engineering, University of Wisconsin Madison, 1415 Engineering Drive, Madison, WI 53706, USA;School of Electrical and Computer Engineering, Georgia Institute of Technology, 176 Van Leer Building, GA 30332-0250, USA;Department of Electrical and Computer Engineering, University of Missouri-Rolla, 132 Emerson Electric Co. Hall, 1870 Miner Circle, MO 65409-0249, USA
Venue:
Engineering Applications of Artificial Intelligence
Year:
2005

Citing 1
Cited 1

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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^(R) 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.