Comparative Performance analysis of Multilevel Inverter through meta heuristics

Pani, Siddhanta; Guru, Neelakantha; Puhan, Debendu; Barisal, Ajit Kumar

doi:10.1109/iciccs53718.2022.9788382

Cited by 6 publications

(2 citation statements)

References 14 publications

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“…Though the main focus of the SPV-HESS design is to scale up the SPV Penetration level to ensure full electricity consumption coverage, the severity of the THD varies as a function of the degree of Penetration of the SPV power [11,17]. In other words, the excessive injections of the THD might cause significant instabilities in the system voltage and current that exceed the standard IEEE-1547 limits on power quality, which consequently restricts the SPV Penetration level [18].…”

Section: Introductionmentioning

confidence: 99%

Stochastic Optimal Harmonic Suppression with Permissible Photovoltaic Penetration Level for Grid-Linked Systems using Monte Carlo-Based Hybrid NSGA2-MOPSO

Abubakar,

Borkor,

Amoako-Yirenkyi

2023

Preprint

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Integrating a high Penetration level of Solar Photovoltaic (SPV) power in the electricity grid could enhance the system’s sustainability, reliability, and affordability. Nevertheless, at higher Penetrations, the intermittency, non-dispatchable nature of the SPV generation, and the extensive utilization of inverter-based interfaces generate excessive harmonic distortions that damage power system devices and interrupt the smooth operation of the power system. Thus, the severity of the harmonic distortion impacts varies as a function of the degree of the SPV Penetration level in the grid-connected system. Though the problem is highly nonlinear stochastic programming with multiple conflicting power quality criteria, no existing study holistically captures the randomness, the contradictory nature of the objectives, and the grid’s technical limitations simultaneously. This study proposes a novel Monte-Carlo-based Hybrid multi-objective methodology to scale up the Photovoltaic Penetration level with a minimum Total Harmonic Distortion (THD) for multilevel SPV inverters in grid-connected systems without violating the system’s standard operational limitations. Six state-of-the-art Multi-Objective Evolutionary algorithms were implemented and compared using hypervolume indica- tor, execution time, and parametric statistical analysis to obtain a quality solution. The results showed that the Hybrid NSGAII-MOPSO outflanked the rest in terms of convergence, diversity, and execution time. It could be inferred that even under variable weather conditions, this harmonic suppression design approach could accurately optimize the SPV Penetration level and mitigate the THD without degrading the grid’s standard operational constraints. In comparison, the stochastic design technique creates a far more reliable SPV grid-connected system than the deterministic approach.

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Section: Introductionmentioning

confidence: 99%

Stochastic Optimal Harmonic Suppression with Permissible Photovoltaic Penetration Level for Grid-Linked Systems using Monte Carlo-Based Hybrid NSGA2-MOPSO

Abubakar,

Borkor,

Amoako-Yirenkyi

2023

Preprint

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“…These optimization techniques aim to find optimum switching angles that satisfy the desired harmonic elimination conditions while minimizing the computational effort. Genetic Algorithms (GA) [10], Particle Swarm Optimization (PSO) [11], Differential Evolution (DE) [12], Artificial Bee Colony (ABC) [13], Red Deer Algorithm (RDA) [14], and other metaheuristic algorithms have been applied in SHE optimization. These algorithms explore the solution space to find the best solutions, considering factors such as convergence speed, computational efficiency, robustness, and the ability to handle different modulation indices.…”

Section: Introductionmentioning

confidence: 99%

African Vultures Optimization Algorithm-Based Selective Harmonic Elimination for Multi-level Inverter

BEKTAŞ

2023

Balkan Journal of Electrical and Computer Engineering

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Çok seviyeli inverterler (ÇSİ), iyileştirilmiş çıkış dalga formu ve azaltılmış harmonik distorsiyon gibi avantajlarıyla dikkat çekmektedir. Ancak, ÇSİ sistemlerinde hala harmonik sorunu bulunmaktadır. Araştırmacılar, bu sorunu çözmek için seçici harmonik eliminasyonu-darbe genişliği modülasyonu (SHE-PWM) tekniğini kullanmıştır. Ancak, seçilen harmoniklerin ortadan kaldırılması için gereken SHE denklemleri karmaşık ve yoğun hesaplamalar gerektirir. Bu makalede, ÇSİ'lerde SHE denklemlerini çözmek için nispeten yeni bir Afrika Akbabaları Optimizasyonu (AVO) algoritması sunulmaktadır. AVO tabanlı SHE-PWM tekniği, 7, ve 11 seviyeli kaskad ÇSİ üzerinde test edilmiştir. Önerilen algoritma, 0.1 ile 1.0 modülasyon indeksi aralığında uygun çözümler bulmayı başarmıştır. 0.5 ile 1.0 arasındaki modülasyon indeksi aralığında seçilen harmoniklerin başarılı bir şekilde yok edilebildiği ve temel gerilimin %0.5'ten daha az hata ile kontrol edilebildiği gözlenmiştir.

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