The design and real-time implementation of derivatives adaptive critic based neurocontrollers that replace the conventional automatic voltage regulators (AVRs) and turbine governors are presented in this paper. The feedback variables to the neurocontroller are completely based on local measurements from the turbogenerator. Experimental verification results are presented to show the superior performance of the derivatives adaptive critic based neurocontroller, compared to the conventional AVR and turbine governor controllers equipped with a power system stabilizer.

Meeting Name

2002 International Joint Conference on Neural Networks, 2002. IJCNN '02


Electrical and Computer Engineering

Keywords and Phrases

AVR; Adaptive Control; Automatic Voltage Regulators; Control System Synthesis; Derivatives Adaptive Critic Based Neurocontroller Performance; Electric Power Grid; Feedback; Feedback Variables; Neurocontroller Design; Neurocontrollers; Power Generation Control; Power System Stabilizer; Real-Time Neurocontroller Implementation; Real-Time Systems; Turbine Governors; Turbogenerators

Document Type

Article - Conference proceedings

Document Version

Final Version

File Type





© 2002 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

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