Dynamic genetic algorithms for robust design of multimachine power system stabilizers

Alkhatib, Hasan; Duveau, J.

doi:10.1016/j.ijepes.2012.08.080

Cited by 78 publications

(34 citation statements)

References 48 publications

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“…As in [22], the power system stabilizers can be designed by use of the linearized incremental models to a power system around an operating point [23]. The system representation based on differential equations and used data is given in Appendix.…”

Section: Test System Modelmentioning

confidence: 99%

Selection of Membership Functions Based on Fuzzy Rules to Design an Efficient Power System Stabilizer

Sambariya

Prasad

2016

Int. J. Fuzzy Syst.

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Section: Test System Modelmentioning

confidence: 99%

Selection of Membership Functions Based on Fuzzy Rules to Design an Efficient Power System Stabilizer

Sambariya

Prasad

2016

Int. J. Fuzzy Syst.

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“…New approaches have been proposed for power stability such as fuzzy logic control (Mrad et al 2000;Abbadi et al 2013), neurocontrol (Shamsollahi and Malik 1997;Park et al 2003;Venayagamoorthy et al 2003;Mohagheghi et al 2007) and algorithm genetic (Alkhatib and Duveau 2013). Combinations of the above techniques are also proposed in order to exploit the advantages of each method.…”

Section: Intelligent Controlmentioning

confidence: 99%

Transient Stability Enhancement of Power Systems Using Observer-Based Sliding Mode Control

Ouassaid

Maâroufi

Cherkaoui

2014

Advances and Applications in Sliding Mode Control Systems

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The high complexity and nonlinearity of power systems, together with their almost continuously time-varying nature, have presented a big challenge for control engineers, for decades. The disadvantages of the linear controllers/models, such as being dependent on the operating condition, sensibility to the disturbance such as parametric variations or faults can be overcome by using appropriate nonlinear control techniques. Sliding-mode control technique has been extensively used when a robust control scheme is required. This chapter presents the transient stabilization with voltage regulation analysis of a synchronous power generator driven by steam turbine and connected to an infinite bus. The aim is to obtain high performance for the terminal voltage and the rotor speed simultaneously under a large sudden fault and a wide range of operating conditions. The methodology adopted is based on sliding mode control technique. First, a nonlinear sliding mode observer for the synchronous machine damper currents is proposed. Next, the control laws of the complete ninth order model of a power system, which takes into account the stator dynamics as well as the damper effects, are developed. They are shown to be asymptotically stable in the context of Lyapunov theory. Finally, the effectiveness of the proposed combined observer-controller for the transient stabilization and voltage regulation is demonstrated. Nomenculture

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“…Bu problemle baş edebilmek amacıyla, jeneratörlerin uyarma sisteminde destekleyici bir kontrolör kullanılır [3,4]. PSS olarak bilenen bu destekleyici kontrolör; esnek, kolay uygulanabilir ve düşük maliyetli olmasından ötürü, küçük işaret salınımlarını söndürmek ve sistemin dinamik kararlılığını düzeltmek için güç sistemlerinde geniş ölçüde kullanılır [5,6]. Adaptif kontrol, optimal kontrol, akıllı kontrol ve değişken yapılı kontrol gibi bir takım teknikler PSS tasarımında kullanılmıştır [7,8].…”

Section: Gi̇ri̇ş (Introduction)unclassified

HPA algoritması ile çok makinalı güç sistemi kararlı kılıcısı tasarımı

Ekinci¹,

Hekimoğlu²

2017

Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi

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This paper describes a novel hybrid approach based on particle swarm optimization (PSO) and artificial bee colony algorithm (ABC) called HPA technique that has powerful capabilities to discover the optimistic results for optimal design of power system stabilizer (PSS) in a multi-machine power system. For achieving optimal tuning of PSS parameters, the problem of selecting PSS parameters is converted to a simple optimization problem with an eigenvalue-based objective function and is solved by using the HPA technique. The effectiveness of the proposed HPA based-PSS design is verified through eigenvalue analysis, time domain simulations and some performance indices on a 3-machine 9-bus power system under different disturbances. The results of these studies show that the HPA algorithm is an alternative and more effective optimizer for tuning of PSS parameters and enhance greatly the dynamic stability of the power system compared with PSO and ABC. Also, the potential and superiority of the HPA algorithm over PSO and ABC in terms of computational time, convergence rate and solution quality is proved.

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Dynamic genetic algorithms for robust design of multimachine power system stabilizers

Cited by 78 publications

References 48 publications

Selection of Membership Functions Based on Fuzzy Rules to Design an Efficient Power System Stabilizer

Selection of Membership Functions Based on Fuzzy Rules to Design an Efficient Power System Stabilizer

Transient Stability Enhancement of Power Systems Using Observer-Based Sliding Mode Control

HPA algoritması ile çok makinalı güç sistemi kararlı kılıcısı tasarımı

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