The controllable capacitive reactance can be used as the input variable for the external controller of a series capacitive reactance compensator (SCRC) to improve the damping of low-frequency oscillations of the rotor angle and active power in a power system. Conventional linear PI controllers are tuned for best performance at one specific operating point of the nonlinear power system. At other operating point its performance degrades. Nonlinear optimal neuro-controllers are able to overcome this degradation. In this paper, the dual heuristic dynamic programming (DHP) optimization algorithm is applied to design an external nonlinear optimal neuro-controller for the SCRC. Simulation studies using PSCAD/EMTDC© software are presented.
J. Park et al., "New External Neuro-Controller for Series Capacitive Reactance Compensator in a Power Network," IEEE Transactions on Power Systems, Institute of Electrical and Electronics Engineers (IEEE), Jan 2004.
The definitive version is available at https://doi.org/10.1109/TPWRS.2004.826802
Electrical and Computer Engineering
Keywords and Phrases
Dual Heuristic Programming; EMTDC Software; PSCAD Software; Active Power; Control System Synthesis; Dual Heuristic Dynamic Programming; Dynamic Programming; External Nonlinear Optimal Neurocontroller Design; Flexible Ac Transmission Systems; Flexible Ac Transmission Systems Devices; Heuristic Programming; Low Frequency Oscillations Damping; Neurocontrollers; Nonlinear Control Systems; Nonlinear Optimal Neurocontrollers; Nonlinear Power Systems; Optimal Control; Optimization; Optimization Algorithm; Power Distribution Control; Power Networks; Power System; Power System CAD; Power Transmission Control; Rotor Angle; Rotors; Series Capacitive Reactance Compensator
International Standard Serial Number (ISSN)
Article - Journal
© 2004 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.