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Wide-area SMES controller design using least-squares support vector machines
Author(s)
Pahasa, Jonglak
Date Issued
December 1, 2010
Type
Conference Paper
Abstract
This paper presents an adaptive wide-area damping controller of superconducting magnetic energy storage (SMES) using the least squares support vector machine (LS-SVM). The LS-SVM for SMES controllers are trained using wide-area control signal obtained from synchronized phasor measurements considering time delay. The LS-SVM control signals can be adapted by various operating conditions and different disturbances. Simulation results in a two-area four-machine power system demonstrate that the proposed LS-SVM for SMES controller is robust to various disturbances under wide range of operating conditions in comparison to the conventional SMES.
Citation
Proceedings of the 4th IASTED Asian Conference on Power and Energy Systems Asiapes 2010, 431-436, 2010