Dynamic stability enhancement with fuzzy based power system stabilizer tuned by hottest non-traditional optimization technique

Linda, M. Mary; Nair, N. Kesavan

doi:10.1109/icccnt.2010.5591736

Cited by 6 publications

(3 citation statements)

References 9 publications

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“…Truth sets allows the objects to get grades of membership from zero to one (true or false). These sets are mainly represented in terms of linguistic variables which is ordinary language being used to represent a specific fuzzy set in a problem such as 'large', 'medium' and 'small' [9][10][11][12][13][14]. Fuzzy logic is a flexible approach and its concept is easy to understand.…”

Section: Bmentioning

confidence: 99%

“…Ideally, different types of tuned PSS are used for frequency control methods of bus system to minimize the impact of stability enhancement of complete power system. Here, the time domain reaction with different cases namely without PSS and with different type of PSS are being investigated for synchronous machine and are also compared with the proposed controller by Fuzzy logic based PSS controller [9][10][11][12][13][14]. This comparison of control technique will demonstrate that the proposed technique have lower setting time and more robustness against parameter variations and external disturbances than the conventional controller which is shown in simulation result using IEEE 39 test bus system .It also presents the effect of 3 phase fault on the network using proposed controlling PSS methods.…”

Section: Introductionmentioning

confidence: 99%

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Design and Analysis of Fuzzy Logic based Power System Stabilizer

Bakolia¹,

Joshi²

2020

IJERT

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This paper presents a new fuzzy logic controller as power system stabilizer being used for stability enhancement and improving the dynamic response of the power system under faulty conditions. Power system stabilizer is added to the generator excitation system to enhance the damping during low frequency oscillations. In order to improve the stability of the power system, acceleration and rotor speed deviation of the synchronous machine are taken as input of fuzzy logic controller. These variables produce an effect on controlling the damping of generator mechanical shaft. In this paper proposed control power system stabilizer is being compared with the conventional power system stabilizer and multi brand power system stabilizer. Proposed control techniques are simulated over the IEEE 39 bus system under different conditions (with noise, without noise). Simulations of the control technique are carried out on MATLAB/SIMULINK tool.

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Section: Bmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design and Analysis of Fuzzy Logic based Power System Stabilizer

Bakolia¹,

Joshi²

2020

IJERT

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“…Therefore, an adaptive PSS which considers the nonlinear nature of the plant and adapts to the changes in the environment is required for the power system (Liu et al, 2005). In order to improve the performance of CPSSs, numerous techniques have been proposed for designing them, such as intelligent optimization methods (Linda and Nair, 2010;Yassami et al, 2010;Sumathi et al, 2007;Jiang and Yan, 2008;Sudha et al, 2009) and Fuzzy logic method (Hwanga et al, 2008;Dubey, 2007). Also the application of robust control methods for designing PSS has been presented by Gupta et al (2005), Mocwane and Folly (2007), Sil et al (2009) and Bouhamida et al (2005).…”

Section: Introductionmentioning

confidence: 99%

Multi-Machine Power System Stabilizer Design using Quantitative Feedback Theory

Boroujeni¹,

Boroujeni²,

Abdollahi³

2013

RJASET

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Power System Stabilizers (PSSs) are used to enhance damping of power system oscillations through excitation control of synchronous generator. The objective of the PSS is to generate a stabilizing signal, which produces a damping torque component on the generator shaft. Conventional PSSs are designed with the phase compensation technique in the frequency domain and include the lead-lag blocks whose parameters are determined according to a linearized power system model. The performance of Conventional PSSs (CPSSs) depends upon the generator operating point and the system parameters, but a reasonable level of robustness can be achieved depending on the tuning method. To overcome the drawbacks of CPSS, numerous techniques have been proposed in literatures. In this paper a robust method based on Quantitative Feedback Theory (QFT) Algorithm is used for tuning the PSS parameters. The proposed QFT-PSS is evaluated at a multi machine electric power system. The simulation results clearly indicate the effectiveness and validity of the proposed method.

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