Generalized neuron-based PSS and adaptive PSS

Chaturvedi, D. K.; Malik, O.P.

doi:10.1016/j.conengprac.2005.03.013

Cited by 14 publications

(6 citation statements)

References 27 publications

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“…The stability of a power system can be enhanced by appropriate control of the generator excitation voltage (Chaturvedi & Malik, 2005;Kundur, 1994;Machowski, Bialek, & Bumby, 2008). This control can be realized by applying an additional feedback control loop in the AVR system of selected generating units.…”

Section: Introductionmentioning

confidence: 97%

Robust SVC controller design and analysis for uncertain power systems

Robak

2009

Control Engineering Practice

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Section: Introductionmentioning

confidence: 97%

Robust SVC controller design and analysis for uncertain power systems

Robak

2009

Control Engineering Practice

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“…The interaction between the speed and voltage control equations of the machine is expressed in terms of six constants ( ). The constants are dependent upon the actual real and reactive power loading as well as the excitation levels in the machine, exception of which is only a function of the ratio of the impedance [10].…”

Section: A Linear Modelmentioning

confidence: 99%

“…In order to design a robust power system controller, it is first necessary to consider an appropriate linear mathematical description of the single machine infinite bus power system model to get the block diagram of the system, which indicated in [36]. The state space representation is presented in [10]. In this system, the synchronous generator is described by a fourth-order model.…”

Section: A Linear Modelmentioning

confidence: 99%

“…With the development of power systems and increasing demand for quality electricity, it is worthwhile looking into the possibility of using modern control techniques [10]. The linear optimal control strategy is one possibility that has been proposed for supplementary excitation controllers, which showed promising results in damping of LFO, as illustrated in [11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

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Modified Particle Swarm Optimization Based Proportional-Derivative Power System Stabilizer

Ibrahim¹,

Attia²,

Talaat

et al. 2015

IJISA

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Abstract-During a change in operating condition, oscillations of small magnitude and low frequency often persist for long periods of time and in some cases even present limitations on power transfer capability. Generators in power systems are equipped with automatic voltage regulator (AVR) to control terminal voltage. It is known that AVR has a detrimental impact upon the dynamic stability of the power system. Power system stabilizers (PSS) are widely used to generate supplementary control signals for the excitation system in order to damp out low-frequency oscillations (LFOs). In this paper proportionalderivative power system stabilizer (PD-PSS) used to damping LFO after tuning the gains of the PSS by using PSO. The damping boundary condition of PSO technique is modified to improve its performance in the tuning and optimization process. Simulation studies performed on a typical single-machine infinite-bus (SMIB) system used in MATLAB Simulink program. Assessing the performance of the proposed modified PSO based PD-PSS with Speed deviation (∆ω) as an input signal using eigenvalue analysis. The proposed PSO based PD-PSS is evaluated and examined under different operating conditions and inertia constant each one of them applied with two test cases small disturbance and short circuit. A comparative study between the proposed PSO based PD-PSS, original PSO based PD-PSS, and lead-lag PSS is done in this work. The results ensure the superiority, the effectiveness, and the robustness of the proposed PSS over the other techniques.

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“…In essence, the PSS provides a component of electrical torque in phase with speed variations on the rotor [5]. Equipping the generator with PSS, Alleviating the electromechanical oscillations of power system has been increased via providing a supplementary control signal to the excitation system [6][7][8]. Fundamentally, PSS injects a stabilizing signal to Automatic Voltage Regulator (AVR) that modulates the generator excitation and compensates the negative torque of the AVR [9].…”

Section: Introductionmentioning

confidence: 99%

Design and Scrutiny of Maiden PSS for Alleviation of Power System Oscillations Using RCGA and PSO Techniques

Falehi¹

2013

Journal of Electrical Engineering and Technology

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-In this paper, a novel and robust Power System Stabilizer (PSS) is proposed as an effective approach to improve stability in electric power systems. The dynamic performance of proposed PSS has been thoroughly compared with Conventional PSS (CPSS). Both the Real Coded Genetic Algorithm (RCGA) and Particle Swarm Optimization (PSO) techniques are applied to optimum tune the parameter of both the proposed PSS and CPSS in order to damp-out power system oscillations. Due to the high sufficiency of both the RCGA and PSO techniques to solve the very non-linear objective, they have been employed for solution of the optimization problem. In order to verify the dynamic performance of these devices, different conditions of disturbance are taken into account in Single Machine Infinite Bus (SMIB) power system. Moreover, to ensure the robustness of proposed PSS in damping the power system multi-mode oscillations, a Multi Machine (MM) power system under various disturbances are considered as a test system. The results of nonlinear simulation strongly suggest that the proposed PSS significantly enhances the power system dynamic stability in both of the SMIB and MM power system as compared to CPSS.

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Generalized neuron-based PSS and adaptive PSS

Cited by 14 publications

References 27 publications

Robust SVC controller design and analysis for uncertain power systems

Robust SVC controller design and analysis for uncertain power systems

Modified Particle Swarm Optimization Based Proportional-Derivative Power System Stabilizer

Design and Scrutiny of Maiden PSS for Alleviation of Power System Oscillations Using RCGA and PSO Techniques

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