Heuristic Methods for Solving of Harmonic Estimation Problems in Power Systems

Mustafa Saka

Makale detayları

Heuristic Methods for Solving of Harmonic Estimation Problems in Power Systems

Yazarlar:

Mustafa Saka

Yayıncı:

Süleyman Demirel University

Ana Başlıklar:

Elektrik Tesisleri

Dergi:

Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi Vol.29 Issue 1, pp.149-157

Belge Tipi:

Makale

Yayın Tarihi:

4/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001345519

pISSN:

1308-6529

Anahtar kelimeler:

Özet:

 With the globalizing world, the need for quality electrical energy is increasing day by day. Due to the nonlinear components in power systems, harmonics and distortions occur in the signal form. In order to reduce the negative effects of harmonics, estimation of amplitude, phase and frequency components of signals is very important. In this study, amplitude, phase and frequency parameters of a synthetic power signal have been found via Grey Wolf Optimizer GWO, Moth Flame Optimization MFO, Osprey Optimization Algorithm OOA and Whale Optimization Algorithm WOA heuristic optimization methods. Due to the components of power systems, signals may contain noise. For this reason, the case containing 20db signal-to-noise ratio SNR was taken into account of the selected test signal. In this way, the effect of different heuristic methods on harmonic estimation problems has been analyzed. The percentage error rates of the estimated parameters with the selected methods have been presented comparatively. Moreover, the performance indexes for the heuristic techniques have been computed separately. When the obtained results have been analyzed, it has been observed that the amplitude, frequency and phase parameters of the synthetic power signal have been determined with the highest accuracy with MFO and the lowest performance index has been achieved with MFO.

 With the globalizing world, the need for quality electrical energy is increasing day by day. Due to the nonlinear components in power systems, harmonics and distortions occur in the signal form. In order to reduce the negative effects of harmonics, estimation of amplitude, phase and frequency components of signals is very important. In this study, amplitude, phase and frequency parameters of a synthetic power signal have been found via Grey Wolf Optimizer GWO, Moth Flame Optimization MFO, Osprey Optimization Algorithm OOA and Whale Optimization Algorithm WOA heuristic optimization methods. Due to the components of power systems, signals may contain noise. For this reason, the case containing 20db signal-to-noise ratio SNR was taken into account of the selected test signal. In this way, the effect of different heuristic methods on harmonic estimation problems has been analyzed. The percentage error rates of the estimated parameters with the selected methods have been presented comparatively. Moreover, the performance indexes for the heuristic techniques have been computed separately. When the obtained results have been analyzed, it has been observed that the amplitude, frequency and phase parameters of the synthetic power signal have been determined with the highest accuracy with MFO and the lowest performance index has been achieved with MFO.

 With the globalizing world, the need for quality electrical energy is increasing day by day. Due to the nonlinear components in power systems, harmonics and distortions occur in the signal form. In order to reduce the negative effects of harmonics, estimation of amplitude, phase and frequency components of signals is very important. In this study, amplitude, phase and frequency parameters of a synthetic power signal have been found via Grey Wolf Optimizer GWO, Moth Flame Optimization MFO, Osprey Optimization Algorithm OOA and Whale Optimization Algorithm WOA heuristic optimization methods. Due to the components of power systems, signals may contain noise. For this reason, the case containing 20db signal-to-noise ratio SNR was taken into account of the selected test signal. In this way, the effect of different heuristic methods on harmonic estimation problems has been analyzed. The percentage error rates of the estimated parameters with the selected methods have been presented comparatively. Moreover, the performance indexes for the heuristic techniques have been computed separately. When the obtained results have been analyzed, it has been observed that the amplitude, frequency and phase parameters of the synthetic power signal have been determined with the highest accuracy with MFO and the lowest performance index has been achieved with MFO.

 Globalleşen dünya ile birlikte kaliteli elektrik enerjisine olan ihtiyaç da her geçen gün artmaktadır. Güç sistemlerinde yer alan lineer olmayan bileşenler nedeniyle, harmonikler oluşmakta ve sinyal formunda bozulmalar meydana gelmektedir. Harmoniklerin neden olabileceği olumsuz etkileri azaltmak amacıyla, sinyallerin genlik, faz ve frekans bileşenlerinin kestirimi oldukça önemlidir. Bu çalışmada, sentetik bir güç sinyaline ait genlik, faz ve frekans parametreleri, Gri Kurt Optimizasyonu GWO, Güve Alev Optimizasyonu MFO, Balık Kartalı Optimizasyon Algoritması OOA ve Balina Optimizasyon Algoritması WOA sezgisel optimizasyon yöntemleri ile bulunmuştur. Güç sistemlerinin sahip olduğu bileşenlerden dolayı sinyaller gürültü içerebilmektedir. Bu nedenle, seçilen test sinyalinin 20db sinyal gürültü oranı SNR içeren durumu da ayrıca dikkate alınmıştır. Bu sayede, farklı sezgisel yöntemlerin harmonik kestirim problemlerindeki etkisi analiz edilmiştir. Seçilen yöntemler ile tahmin edilen parametrelerin yüzde hata oranları karşılaştırmalı olarak sunulmuştur. Dahası, sezgiler teknikler için performans indeksleri ayrı ayrı hesaplanmıştır. Elde edilen sonuçlar analiz edildiğinde, MFO ile sentetik güç sinyaline ait genlik, frekans ve faz parametrelerinin en yüksek doğrulukta belirlendiği ve en düşük performans indeksine ulaşıldığı gözlemlenmiştir.

Makale detayları

Heuristic Methods for Solving of Harmonic Estimation Problems in Power Systems

Yazarlar:

Mustafa Saka

Yayıncı:

Süleyman Demirel University

Ana Başlıklar:

Elektrik Tesisleri

Dergi:

Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi Vol.29 Issue 1, pp.149-157

Belge Tipi:

Makale

Yayın Tarihi:

4/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001345519

pISSN:

1308-6529

Harmonics

Harmonic estimation

SNR

Heuristic techniques

OptimizationHarmonikler

Harmonik kestirim

SNR

Sezgisel teknikler

Optimizasyon

Sayı

Makale detayları

Yazarlar: Mustafa Saka

Yayıncı: Süleyman Demirel University

Ana Başlıklar: Elektrik Tesisleri

Dergi: Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi Vol.29 Issue 1, pp.149-157

Belge Tipi: Makale

Yayın Tarihi: 4/2025

Belge Dili: Türkçe

Document ID (Org No.): 2001345519

pISSN: 1308-6529

Sayı

Yazarlar:

Mustafa Saka

Yayıncı:

Süleyman Demirel University

Ana Başlıklar:

Elektrik Tesisleri

Dergi:

Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi Vol.29 Issue 1, pp.149-157

Belge Tipi:

Makale

Yayın Tarihi:

4/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001345519

pISSN:

1308-6529