Optimal least squares support vector machines for SMES controller design using wide area phasor measurements

Abstract

SUMMARY In this paper, the least squares support vector machines (LS‐SVMs) based design of superconducting magnetic energy storage (SMES) controller is proposed for wide area stability control. The LS‐SVMs for SMES controllers are trained by local and inter‐area data based on synchronized phasor measurements considering time delay. A large amount of training data set of a multi‐machine power system is reduced by the measurement of similarity among samples. The LS‐SVM parameters and the similarity threshold are optimized by a particle swarm optimization. Subsequently, the redundant data in the training set can be discarded while the reduced data are the optimal support vectors in the LS‐SVM model. The LS‐SVM control signals can be adapted by various operating conditions and different disturbances. Simulation results in a six‐area West Japan interconnected 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. Copyright © 2011 John Wiley & Sons, Ltd.

Wide area monitoring system control management of the IEEE-14 bus system using least square support vector regression

“…The PMU is used to divide the fundamental frequency and obtain the phasor representation. Pahasa and Ngamroo [25], by using the non-recursive update type discrete fourier transform (DFT) on the sample data, the phasor representation can be determined. The antialiasing filter is injected that can limit the bandwidth and resulting less data sample.…”

Superconductor magnetic energy storage system usage for distributed generation: Active/reactive power and voltage controller design in connected and disconnected cases

“…In Poulomi and Rao, transient stability control for a power system with SMES is studied where an intelligent control unit is proposed. In another work, transient stability enhancement of a wind frames in multimachine power systems is proposed, and dynamic stability of a large‐scale power system with SMES unit is studied in Pahasa and Nagamroo using wide area phasor measurements. Some researchers focus is about the using of SMES unit beside of wind frames.…”