NDLI: Damping power systems oscillations using FACTS combinations

Content Provider	IEEE Xplore Digital Library
Author	Hemeida, A.M. El-Saady, G.
Copyright Year	2004
Description	Author affiliation: Higher Inst. of Energy, Aswan, Egypt (Hemeida, A.M.)
Abstract	The damping of electromechanical modes of oscillation in power systems can be made by static VAR compensator (SVC) and/or power system stabilizer (PSS). The paper presents a combinations of using an SVC, controlled by a nonlinear dynamic controller based adaptive neural network, with a PSS, controlled by variable structure fuzzy logic control. The proposed system is used for both damping low frequency modes of oscillation of the power systems, and enhancing the system dynamic performance at post-fault conditions. The proposed variable structure fuzzy logic controller implements the signals of speed deviation and its rate of change, and internal machine angle deviation and its rate of change. The nonlinear dynamic controller based adaptive neural network implements the speed deviation signal. The proposed scheme is validated using a sample single machine connected to an infinite bus power system through a double transmission line circuit. The studied system is modeled and represented by nonlinear differential equations. Matlab software is used for solving the system equations. The time simulation indicates the superiority of using both SVC and PSS over using either of them alone in the studied power system. The results show that using the FACTS combinations provides very fast damping, with less overshoot, and reduces the amount of reactive compensation required for the SVC, and reduces the exciter gain.
Sponsorship	IEEE PES IEE Cigre NGT EDF Energy WUHAN HI-TECH
Starting Page	333
Ending Page	337
File Size	636182
Page Count	5
File Format	PDF
ISBN	1860433650
DOI	10.1109/ICEEC.2004.1374583
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-09-06
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	UWE
Subject Keyword	Damping Programmable control Adaptive systems Power system dynamics Power system simulation Static VAr compensators Electric variables control Power systems Nonlinear dynamical systems Power system modeling
Content Type	Text
Resource Type	Article

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