Nonlinear Control of FACTS Controllers for Damping Interarea Oscillations in Power Systems

Zarghami, Mahyar; Crow, M.L.; Jagannathan, S.

doi:10.1109/tpwrd.2010.2055898

Cited by 69 publications

(24 citation statements)

References 23 publications

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“…The control design technique hence needs to utilize the nonlinear dynamics of the power system in order to overcome such undesirable problems. For this purpose, some stabilizing control methods of power systems were suggested [20]. The latest fuzzy control algorithm developed illustrates a systematic approach to control a nonlinear process based on human experience.…”

Section: Introductionmentioning

confidence: 99%

SSR mitigation with SSSC thanks to fuzzy control

Hosseini¹,

Samadzadeh²,

Olamaei³

et al. 2013

Turk J Elec Eng & Comp Sci

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This paper deals with the capability of a static synchronous series compensator (SSSC) to attenuate the subsynchronous resonance (SSR). Two well-known controllers are designed, namely a conventional damping controller (CDC) and fuzzy logic damping controller (FLDC). These 2 damping controllers are added to a main control loop of a SSSC operating as a SSR damping controller. It should be noted that, to optimize the parameters of the CDC, a versatile optimization technique is implemented, namely particle swarm optimization (PSO). A comprehensive comparison between the 2 control methods is carried out for different operational conditions. To observe the superior performance of the proposed FLDC, many operating points and different fault types are considered. The IEEE second benchmark model aggregated with the SSSC is utilized and simulations are presented.

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Section: Introductionmentioning

confidence: 99%

SSR mitigation with SSSC thanks to fuzzy control

Hosseini¹,

Samadzadeh²,

Olamaei³

et al. 2013

Turk J Elec Eng & Comp Sci

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“…When the system is subjected to the large disturbances, the system condition will change in an extremely nonlinear behavior and the controllers entirely will not be capable of damping the oscillations, even destabilizing impact may be supplemented to the disturbance by controller through for example inserting the negative damping [14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

“…A properly designed fuzzy controller can give higher performance in presence of variation in parameters, load and external disturbances. It has shown that, the Fuzzy Logic Based Damping Controller (FLBDC) can play an effective role in stabilizing the power systems in a wide range of operating conditions and with various devices such as: PSS and FACTS [17,19]. Moreover, in the point of SSR mitigation, the FLBDCs can be successful in reducing the sub-synchronous and the low frequency oscillations [20].…”

Section: Introductionmentioning

confidence: 99%

Sub-Synchronous Resonance damping using Distributed Static Series Compensator (DSSC) enhanced with fuzzy logic controller

Khazaie

Mokhtari

Khalilyan

et al. 2012

International Journal of Electrical Power & Energy Systems

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“…Many investigators have studied the use of FACTS devices in the transmission system to aid damping of these oscillations and to enhance system stability [3][4][5][6][7]. However, a handful of them addresses the issue that these controllers are now required to operate satisfactorily in the presence of several modes of power swings or oscillations and over a wide range of operating conditions.…”

Section: Introductionmentioning

confidence: 99%

Decentralized H ∞ control for damping power system oscillations

Lie

2011

Open Engineering

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Inter-area oscillations are serious problems to large-scale power systems. A decentralized H ∞ generator excitation controller of a power system is proposed to damp the inter-area oscillations and to enhance power system stability. The design procedure for a linear composite system is presented in terms of positive semi-definite solutions to modified algebraic inequalities. The resulting controller guarantees closed-loop stability, robustness and an H ∞ -norm bound on disturbance attenuation even under uncertainties such as high frequency noise. The control is decentralized in the sense that the control of each generator depends on local information only. The effectiveness of the H ∞ controller is demonstrated through digital simulation studies on a two-machine power system.

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Nonlinear Control of FACTS Controllers for Damping Interarea Oscillations in Power Systems

Cited by 69 publications

References 23 publications

SSR mitigation with SSSC thanks to fuzzy control

SSR mitigation with SSSC thanks to fuzzy control

Sub-Synchronous Resonance damping using Distributed Static Series Compensator (DSSC) enhanced with fuzzy logic controller

Decentralized H ∞ control for damping power system oscillations

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