IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Hybrid Adaptive NeuroFuzzy Bspline Based SSSC Damping Control Paradigm: Power System Dynamic Stability Enhancement Using Online System Identification

Hybrid Adaptive NeuroFuzzy Bspline Based SSSC Damping Control Paradigm: Power System Dynamic Stability Enhancement Using Online System Identification
View Sample PDF
Author(s): Laiq Khan (COMSATS Institute of Information Technology, Pakistan) and Rabiah Badar (COMSATS Institute of Information Technology, Pakistan)
Copyright: 2014
Pages: 42
Source title: Handbook of Research on Novel Soft Computing Intelligent Algorithms: Theory and Practical Applications
Source Author(s)/Editor(s): Pandian M. Vasant (Petronas University of Technology, Malaysia)
DOI: 10.4018/978-1-4666-4450-2.ch026

Purchase


Abstract

This work explores the potential of Bspline based Adaptive NeuroFuzzy Wavelet control to damp low frequency power system oscillations using Static Synchronous Series Compensator (SSSC). A comparison of direct and indirect adaptive control based on Hybrid Adaptive Bspline Wavelet Control (ABSWC) is presented by introducing the online identification block. ABSWC with Identification (ABSWCI) provides the sensitivity information of the plant to control system. The parameters of the control and identification block are updated online using gradient descent based back propagation algorithm. The robustness of the proposed control algorithm has been evaluated for local and inter-area modes of oscillations using different faults. The nonlinear time domain simulation results have been analyzed on the basis of different performance indices and time-frequency representation showing that ABSWC effectively damps low frequency oscillations and incorporation of online identification optimizes the control system performance in terms of control effort which reduces the switching losses of the converter.

Related Content

. © 2021. 35 pages.
. © 2021. 30 pages.
. © 2021. 101 pages.
. © 2021. 25 pages.
. © 2021. 36 pages.
. © 2021. 28 pages.
. © 2021. 25 pages.
Body Bottom