Abstract

Based on Dual Heuristic Programming (DHP), a real-time implementation of a neurocontroller for excitation and turbine control of a turbogenerator in a multimachine power system is presented. The feedback variables are completely based on local measurements. Simulation and real-time hardware implementation on a three-machine system demonstrate that the DHP neurocontroller is much more effective than conventional PID controllers, the automatic voltage regulator, power system stabilizer and the governor, for improving dynamic performance and stability under small and large disturbances.

Department(s)

Electrical and Computer Engineering

Keywords and Phrases

Multimachine Power System; Optimal DHP Neurocontroller Design; Power System Stability; Real Time Experimental Verification; Voltage Regulation

Library of Congress Subject Headings

Turbogenerators

Document Type

Article - Journal

Document Version

Final Version

File Type

text

Language(s)

English

Rights

© 2003 CRL Publishing, All rights reserved.


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