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Multi-machine Power Transmission System Stabilization Using MPSO Based Neuro-Fuzzy Hybrid Controller for STATCOM/BESS
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Abstract
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This paper deals with the design of a new hybrid controller for damping the electromechanical oscillations in a multimachine power transmission system. The new controller is designed for a VSI-based STATCOM (Static Synchronous Compensator) with a battery energy storage system (BESS). A combination of real power flow deviation, STATCOM bus voltage deviation and dc link voltage deviation is fed to the proposed hybrid controller which generates the control signals. The proposed hybrid controller uses a two-layer neuro-fuzzy PI control model which is a function based Takagi-Sugeno-Kang fuzzy scheme. In order to avoid repeated computation of the controller parameters at different operating conditions, a modified particle swarm optimization (MPSO) technique is used to adapt the parameters. To demonstrate the application of the proposed controller, a number of case studies are carried out in two multimachine power transmission systems with STATCOM/BESS installed at one of the buses. The efficacy of the proposed controller is evaluated by a digital computer simulation using MATLAB under various transient disturbances and a wide range of operating conditions. Results are presented to verify the feasibility and practicality of the proposed ideas. Investigations reveal that the transient performance of the power system is remarkably improved with the incorporation of BESS and the proposed hybrid controller. Copyright (C) 2012 Praise Worthy Prize S.r.l. - All rights reserved.
Keywords:
STATCOM
BESS
Modified PSO
Neuro-Fuzzy
Hybrid Controller
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