The increasing complexity of the modern power grid highlights the need for advanced modeling and control techniques for effective control of excitation, turbine and flexible AC transmission systems (FACTS). The crucial factors affecting the modern power systems today is voltage and load flow control. Simulation studies in the PSCAD/EMTDC environment and realtime laboratory experimental studies carried out are described and the results show the successful control of the power system elements and the entire power system with adaptive and optimal neurocontrol schemes. Performances of the neurocontrollers are compared with the conventional PI controllers for damping under different operating conditions for small and large disturbances.
G. K. Venayagamoorthy and R. G. Harley, "Adaptive Critic Designs for Optimal Control of Power Systems," Proceedings of the 13th International Conference on, Intelligent Systems Application to Power Systems, 2005, Institute of Electrical and Electronics Engineers (IEEE), Jan 2005.
The definitive version is available at https://doi.org/10.1109/ISAP.2005.1599253
13th International Conference on, Intelligent Systems Application to Power Systems, 2005
Electrical and Computer Engineering
Keywords and Phrases
Adaptive Control; Adaptive Critic Design; Adaptive Neurocontrol; Approximate Dynamic Programming; Excitation Control; Flexible AC Transmission Systems; Load Flow Control; Neural Network; Neurocontrollers; Optimal Control; Optimal Neurocontrol; Power System Control; Reinforcement Learning; Turbine Control; Voltage Control
Article - Conference proceedings
© 2005 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
01 Jan 2005