This paper presents a novel optimal neurocontroller that replaces the conventional controller (CONVC),which consists of the automatic voltage regulator (AVR) and turbine governor, to control a synchronous generator in a power system using a multilayer perceptron neural network (MLPN) and a radial basis function neural network (RBFN). The heuristic dynamic programming (HDP) based on the adaptive critic design (ACD) technique is used for the design of the neurocontroller. The performance of the MLPN based HDP neurocontroller (MHDPC) is compared with the RBFN based HDP neurocontroller (RHDPC) for small as well as large disturbances to a power system, and they are in turn compared with the CONVC. Simulation results are presented to show that the proposed neurocontrollers provide stable convergence with robustness, and the RHDPC outperforms the MHDPC and CONVC in terms of system damping and transient improvement.
J. Park et al., "Adaptive Critic Based Optimal Neurocontrol for Synchronous Generator in Power System Using MLP/RBF Neural Networks," Conference Record of the 37th IAS Annual Meeting of the Industry Applications Conference, 2002, Institute of Electrical and Electronics Engineers (IEEE), Jan 2002.
The definitive version is available at https://doi.org/10.1109/IAS.2002.1042746
37th IAS Annual Meeting of the Industry Applications Conference, 2002
Electrical and Computer Engineering
Keywords and Phrases
Adaptive Control; Adaptive Critic-Based Optimal Neurocontrol Scheme; Automatic Voltage Regulator; Control Design; Control Simulation; Control System Analysis; Control System Synthesis; Damping; Heuristic Dynamic Programming; Machine Control; Machine Theory; Multilayer Perceptron Neural Network; Multilayer Perceptrons; Neurocontrollers; Optimal Control; Power System Disturbances; Radial Basis Function Neural Network; Synchronous Generators; Transient Improvement; Turbine Governor; Velocity Control; Voltage Control
International Standard Serial Number (ISSN)
Article - Conference proceedings
© 2002 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.