In this paper, the dual heuristic programming (DHP) optimization algorithm is used for the design of a nonlinear optimal neurocontroller that replaces the proportional-integral (PI) based conventional linear controller (CONVC) in the internal control of a power electronic converter based series compensator in the electric power transmission system. The performance of the proposed DHP based neurocontroller is compared with that of the CONVC with respect to damping low frequency oscillations. Simulation results using the PSCAD/EMTDC software package are presented.
J. Park et al., "A Novel Dual Heuristic Programming Based Optimal Control of a Series Compensator in the Electric Power Transmission System," Proceedings of the International Joint Conference on Neural Networks, 2003, Institute of Electrical and Electronics Engineers (IEEE), Jan 2003.
The definitive version is available at http://dx.doi.org/10.1109/IJCNN.2003.1224044
International Joint Conference on Neural Networks, 2003
Electrical and Computer Engineering
Keywords and Phrases
PSCAD/EMTDC Software Package; Electric Power Transmission System; Heuristic Programming; Internal Control; Low Frequency Oscillations; Neurocontrollers; Nonlinear Control Systems; Nonlinear Optimal Neurocontroller; Novel Dual Heuristic Programming Based Optimal Control; Optimal Control; Power Convertors; Power Electronic Converter Based Series Compensator; Power Transmission Control; Series Compensator
International Standard Serial Number (ISSN)
Article - Conference proceedings
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