NDLI: Coordination of synergetic excitation controller and SVC damping controller using particle swarm optimization

Content Provider	IEEE Xplore Digital Library
Author	Ademoye, T. Feliachi, A. Karimi, A.
Copyright Year	2011
Description	Author affiliation: Open Systems International, Inc Minneapolis, MN 55447-1286 (Karimi, A.) \|\| Advanced Power & Electric Research Center West Virginia University, Morgantown, WV 26506-6109 (Ademoye, T.; Feliachi, A.)
Abstract	This paper addresses the enhancement of power system stability by simultaneous tuning of synergetic excitation damping controller and Static Var Compensator (SVC) — based damping controllers. Each machine or generator is considered as a subsystem and its interaction with the remaining part of the system, the SVC inclusive, is modeled as a quadratic function of the active power delivered by the generator. Stable manifold is constructed for each excitation controller and based on that, an effective damping controller is derived. A lead — lag compensator is employed as a supplementary controller for the SVC. PSO algorithm is effectively utilized to simultaneously tune the parameters for the excitation damping controller(s) and the SVC supplementary controller. The coordination of the controllers effectively dampens the power angle oscillation and regulates the generator terminal voltage when a fault occurs. Simulation results are obtained using the Power Analysis Toolbox (PAT) for a Single Machine Infinite Bus (SMIB) system and a two area power system.
Starting Page	1
Ending Page	8
File Size	759489
Page Count	8
File Format	PDF
ISBN	9781457710001
ISSN	19449925
e-ISBN	9781457710025
e-ISBN	9781457710018
DOI	10.1109/PES.2011.6039428
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-24
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Static VAr compensators Generators Damping Manifolds Mathematical model Equations Algorithm design and analysis
Content Type	Text
Resource Type	Article

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