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.
G. K. Venayagamoorthy et al., "Experimental Verification of Derivatives Adaptive Critic Based Neurocontroller Performance on Single Turbogenerators on the Electric Power Grid," Proceedings of the 2002 International Joint Conference on Neural Networks, 2002. IJCNN '02, Institute of Electrical and Electronics Engineers (IEEE), Jan 2002.
The definitive version is available at https://doi.org/10.1109/IJCNN.2002.1007792
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
Article - Conference proceedings
© 2002 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
01 Jan 2002