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2016 - 20194
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Yazar: Ekinci, Serdar × Erişim Hakkı: info:eu-repo/semantics/openAccess ×

Arama Sonuçları

Listeleniyor 1 - 4 / 4
  • Küçük Resim
    Öğe
    Coordinated design of TCSC and PSS by using PSO algorithm for enhancement of SMIB power system stability
    (Batman Üniversitesi, 2017) Ekinci, Serdar; Hekimoğlu, Baran
    The main aim of this study is to investigate the enhancement of power system stability via individual and coordinated design of Thyristor Controlled Series Compensation (TCSC) and Power System Stabilizer (PSS) in single machine infinite bus (SMIB) power system. The coordinated design problem of PSS and TCSC-based controllers is formulated as an optimization problem with an eigenvalue-based objective function. Then, particle swarm optimization (PSO) algorithm is applied to search for optimal controller parameters. To compare the performance of PSS and TCSC-based controllers, both of them are designed independently at first and then in a coordinated manner for individual and coordinated applications. The proposed stabilizers are tested on a weakly connected power system subjected to various disturbances. The eigenvalue analysis and nonlinear simulation results show the robustness and the effectiveness of the proposed controllers and their ability to provide efficient damping of low frequency oscillations. Matlab/SIMULINK software package is used for the simulations.
  • Küçük Resim
    Öğe
    Improved kidney-inspired algorithm approach for tuning of PID controller in AVR system
    (IEEE, 2019-03-22) Ekinci, Serdar; Hekimoğu, Baran
    This paper proposes a novel tuning design of proportional integral derivative (PID) controller via an improved kidney-inspired algorithm (IKA) with a new objective function. The main objective of the proposed approach is to optimize the transient response of the AVR system by minimizing the maximum overshoot, settling time, rise time and peak time values of the terminal voltage, and eliminating the steady state error. After obtaining the optimal values of the three gains of the PID controller (K P , K I , and K D ) with the proposed approach, the transient response analysis was performed and compared with some of the current heuristic algorithms-based approaches in literature to show the superiority of the optimized PID controller. In order to evaluate the stability of the automatic voltage regulator (AVR) system tuned by IKA method, the pole/zero map analysis and Bode analysis are performed. Finally, the robustness analysis of the proposed approach has been carried out with variations in the parameters of the AVR system. The numerical simulation results demonstrated that the proposed IKA tuned PID controller has better control performances compared to the other existing approaches. The essence of the presented study points out that the proposed approach may successfully be applied for the AVR system.
  • Küçük Resim
    Öğe
    Application and comparative performance analysis of PSO and ABC algorithms for optimal design of multimachine power system stabilizers
    (Gazi Üniversitesi, 2016-06-20) Ekinci, Serdar
    This paper presents the application and performance comparison of PSO and ABC optimization techniques, for multi-objective design of power system stabilizers (PSSs) in the multi-machine power system. The design objective is to improve the power system stability. The PSSs parameters tuning problem is converted to an optimization problem with the time domain-based objective function and both PSO and ABC optimization techniques are used to search for optimal stabilizers parameters. The optimized stabilizers are tested on multi-machine electric power system subjected to different disturbances. The performance of both optimization techniques in terms of computational time, convergence rate and solution quality is compared. The eigenvalue analysis, nonlinear timedomain simulation results, critical clearing times and some performance indices studies are introduced and compared in order to demonstrate the effectiveness of both optimization techniques in designing stabilizers, to enhance the dynamic stability of the system. What is more, the potential and superiority of the ABC algorithm over the PSO algorithm are verified.
  • Küçük Resim
    Öğe
    HPA algoritması ile çok makinalı güç sistemi kararlı kılıcısı tasarımı
    (Gazi Üniversitesi, 2017-12-08) Ekinci, Serdar; Hekimoğu, Baran
    Bu makale, parçacık sürüsü optimizasyonu (PSO) ve yapay arı kolonisine (ABC) dayalı, çok makinalı güç sisteminde güç sistemi kararlı kılıcısının (PSS) optimal tasarımı için iyimser sonuçlar bulmak için güçlü yetilere sahip HPA tekniği adında yeni bir hibrit yaklaşımı tanımlamaktadır. PSS parametrelerinin en uygun ayarlarının elde edilmesi için PSS parametrelerini seçme problemi, özdeğer tabanlı bir amaç fonksiyonu ile basit bir optimizasyon problemine çevrildi ve HPA tekniği kullanılarak çözüldü. Önerilen HPA tabanlı PSS tasarımının etkinliği özdeğer analizi, zaman domeni simülasyonları ve bazı performans indeksleri aracılığıyla farklı arızalar altındaki 3-makinalı 9-baralı güç sistemi üzerinde doğrulandı. Bu çalışmaların sonuçları, HPA algoritmasının PSS parametrelerinin ayarlanması için alternatif ve daha etkin bir iyileştirici olduğunu ve PSO ile ABC’ye oranla güç sisteminin dinamik kararlılığını büyük oranda artırdığını göstermiştir. Ayrıca hesaplama zamanı, yaklaşım hızı ve çözüm kalitesi açısından HPA algoritmasının PSO ve ABC’ye göre potansiyeli ve üstünlüğü kanıtlanmıştır.