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.
Recommended Citation
G. K. Venayagamoorthy et al., "Real-Time Dual Heuristic Programming-Based Neurocontroller for a Turbogenerator in a Multimachine Power System," Engineering Intelligent Systems for Electrical Engineering and Communications, vol. 13, no. 2, pp. 105 - 111, CLR Publishing, Aug 2003.
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; Turbogenerators
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2003 CRL Publishing, All rights reserved.
Publication Date
01 Aug 2003
