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Journals / Afyon Kocatepe Üniversitesi Fen ve Mühendislik Bilimleri Dergisi / 2026 / Cilt: 26 Sayı: 3

Genetic Algorithm-Based Optimization of Switching Angles in Inverter for Selective Harmonic Elimination

Seçici Harmonik Giderimi için İnverterdeki Anahtarlama Açılarının Genetik Algoritma Tabanlı Optimizasyonu

Ahmed Wael Hanafy Mahmoud Hassan Afıfı(ANKARA YILDIRIM BEYAZIT ÜNİVERSİTESİ, FEN BİLİMLERİ ENSTİTÜSÜ)0009-0000-6567-758X
Yunus Yalman(ANKARA YILDIRIM BEYAZIT ÜNİVERSİTESİ)0000-0003-1032-9814
Pages
641–653
Publication Date
2026-06-03
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The increasing penetration of power electronic converters in modern electrical systems has intensified concerns regarding harmonic distortion and overall power quality.

📌 3 Key Takeaways

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Objective & Hypothesis:The increasing penetration of power electronic converters in modern electrical systems has intensified concerns regarding harmonic distortion and overall power quality.
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Key Findings & Data:The SHE method aims to retain the fundamental frequency component while effectively eliminating specific lower-order harmonics, subject to constraints such as maintaining a fixed fundamental amplitude and ensuring switching angles remain within the range of 0° to 90° under quarter-wave symmetry.
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Conclusion & Impact:This paper utilises MATLAB/Simulink for the modelling and simulation of SHE-based inverter control, evaluating the influence of various switching angles on total harmonic distortion (THD), and proposing a strategy to enhance harmonic performance through optimised angle selection.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Genetik Algoritma · Seçici Harmoniklerin Giderilmesi Darbe genişliği modülasyonu · İnverter

Abstract

The increasing penetration of power electronic converters in modern electrical systems has intensified concerns regarding harmonic distortion and overall power quality. These disturbances detrimentally impact the efficiency, reliability, and dynamic stability of power networks, especially in systems containing sensitive or critical loads. This study presents the development of a Selective Harmonic Elimination (SHE) technique for voltage source inverters (VSI), employing a Genetic Algorithm (GA) to determine optimal switching angles. The SHE method aims to retain the fundamental frequency component while effectively eliminating specific lower-order harmonics, subject to constraints such as maintaining a fixed fundamental amplitude and ensuring switching angles remain within the range of 0° to 90° under quarter-wave symmetry. Solving the transcendental equations associated with SHE, which involve nonlinear trigonometric functions, poses significant computational challenges. Traditional methods—such as Newton-Raphson and sequential programming—require accurate initial guesses, often resulting in convergence to local optima. In contrast, the Genetic Algorithm offers a global optimisation framework that mitigates these limitations by eliminating the need for predefined initial conditions. This paper utilises MATLAB/Simulink for the modelling and simulation of SHE-based inverter control, evaluating the influence of various switching angles on total harmonic distortion (THD), and proposing a strategy to enhance harmonic performance through optimised angle selection.

Özet

Günümüzde güç elektroniği dönüştürücülerinin elektrik sistemlerine artan entegrasyonu, harmonik bozulmalar ve genel güç kalitesiyle ilgili endişeleri ciddi ölçüde artırmıştır. Bu bozulmalar, özellikle hassas veya kritik yükler içeren sistemlerde, güç ağlarının verimliliğini, güvenilirliğini ve dinamik kararlılığını olumsuz etkilemektedir. Bu çalışma, gerilim kaynaklı eviriciler (VSI) için Seçmeli Harmonik Eliminasyon (SHE) tekniğini geliştirerek, optimal anahtarlama açılarını belirlemek amacıyla Genetik Algoritma (GA) kullanımını önermektedir. SHE yöntemi, temel frekans bileşenini korurken belirli alt kademe harmonikleri ortadan kaldırmayı hedeflemekte olup; temel bileşenin sabit tutulması ve anahtarlama açılarının çeyrek dalga simetrisi kapsamında 0° ile 90° arasında kalması gibi kısıtlamalara tabidir. SHE’ye ait doğrusal olmayan trigonometrik fonksiyonlar içeren transandantal denklemlerin çözümü önemli hesaplama zorlukları barındırmaktadır. Newton-Raphson ve ardışık programlama gibi geleneksel yöntemler, doğru başlangıç tahminlerine bağımlı olduklarından genellikle yerel optimumlarda takılı kalmaktadır. Buna karşın, Genetik Algoritma yöntemi, bu sınırlamaları aşan küresel bir optimizasyon yaklaşımı sunmakta ve başlangıç koşullarının önceden tahmin edilmesi gerekliliğini ortadan kaldırmaktadır. Bu makalede, SHE tabanlı evirici kontrolünün modellenmesi ve benzetimi MATLAB/Simulink ortamında gerçekleştirilmiş; çeşitli anahtarlama açılarının toplam harmonik bozulma (THD) üzerindeki etkileri analiz edilerek, harmonik performansın iyileştirilmesine yönelik stratejiler önerilmiştir.

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Cite This Article

Afıfı, A. W. H. M. H., Yalman, Y. (2026). Genetic Algorithm-Based Optimization of Switching Angles in Inverter for Selective Harmonic Elimination. Afyon Kocatepe Üniversitesi Fen ve Mühendislik Bilimleri Dergisi, Cilt: 26 Sayı: 3, 641–653. https://doi.org/10.35414/akufemubid.1760087

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