A Grey Wolf-Assisted Perturb &amp; Observe MPPT Algorithm for a PV System

Mohanty, Satyajit; Subudhi, Bidyadhar; Ray, Pravat Kumar

doi:10.1109/tec.2016.2633722

Cited by 319 publications

(179 citation statements)

References 15 publications

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“…This combined technique can reduce the computational load at every transition period of the atmospheric conditions, consequently accelerating the convergence speed around GMPP at PSCs. In this combined method, only three animals have been assumed to scale down computational complexity, although a larger number of animals produce a more precise MPP [52]. Table 2 describes all the parameters of the P&O algorithms.…”

Section: Pando Mpptsmentioning

confidence: 99%

Performance Evaluation of Maximum Power Point Tracking Approaches and Photovoltaic Systems

et al. 2018

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This paper elaborates a comprehensive overview of a photovoltaic (PV) system model, and compares the attributes of various conventional and improved incremental conductance algorithms, perturbation and observation techniques, and other maximum power point tracking (MPPT) algorithms in normal and partial shading conditions. Performance evaluation techniques are discussed on the basis of the dynamic parameters of the PV system. Following a discussion of the MPPT algorithms in each category, a table is drawn to summarize their key specifications. In the performance evaluation section, the appropriate PV module technologies, atmospheric effects on PV panels, design complexity, and number of sensors and internal parameters of the PV system are outlined. In the last phase, a comparative table presents performance-evaluating parameters of MPPT design criterion. This paper is organized in such a way that future researchers and engineers can select an appropriate MPPT scheme without complication.

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Section: Pando Mpptsmentioning

confidence: 99%

Performance Evaluation of Maximum Power Point Tracking Approaches and Photovoltaic Systems

et al. 2018

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“…Por outro lado, com o objetivo de contornar os problemas de sombreamento parcial em arranjos FV, diversos trabalhos apresentados na literatura têm propostos metodologias de otimização utilizando algoritmos meta-heurísticos [15]- [19]. De forma geral, os algoritmos de otimização são inspirados em comportamentos de animais/insetos da natureza, tais como: algoritmo de enxame de partículas (PSO -Particle Swarm Optimization), algoritmo de colônias de formigas (ACO -Ant Colony Optimization), algoritmo de otimização dos lobos cinzentos (GWO -Grey Wolf Optimization), dentre outros [15]- [19].…”

Section: Introductionunclassified

“…Neste sentido, dentre os métodos de otimização bioinspirados, o método GWO tem se destacado na realização do MPPT, o qual demonstra ser uma metodologia eficiente na busca e convergência ao GMPP [18], [19]. Por outro lado, pelo fato do método GWO ser online, qualquer perturbação, ou seja, quaisquer pequenas variações de irradiância solar e/ou temperatura leva o algoritmo a realizar novas buscas do GMPP originando maiores oscilações no sistema e, consequentemente, minimizando a eficiência durante os intervalos de varredura.…”

Section: Introductionunclassified

Análise Comparativa de Algoritmos de Mppt Bioinspirados nos Lobos Cinzentos Empregando um Sistema Fotovoltaico Conectado à Rede Elétrica Trifásica

Sampaio¹,

Rocha²,

Silva³

et al. 2019

Eletrônica de Potência

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Resumo -Este trabalho apresenta um sistema fotovoltaico (FV) trifásico de duplo estágio de conversão de energia conectado à rede elétrica, o qual é capaz de lidar com problemas de sombreamentos parciais em arranjos FV. Condições de sombreamentos parciais podem afetar o desempenho de sistemas FV, uma vez que as técnicas tradicionais de seguimento do ponto de máxima potência (MPPT -Maximum Power Point Tracking) podem operar em pontos de máximos locais de potência ao invés de máximos globais. Sendo assim, são apresentas quatro técnicas de MPPT bioinspiradas no método de otimização dos lobos cinzentos (GWO -Grey Wolf Optimization), as quais são capazes de extrair o ponto de máximo global de potência do sistema. Tais técnicas são denominadas neste trabalho como GWO, GWO-Beta, GWO-IC (Incremental Conductance) e GWO-P&O (Perturb and Observe). As referidas técnicas são avaliadas e comparadas uma com as outras empregando um sistema FV composto por um conversor CC/CC Boost e um inversor trifásico a três braços. Por meio de resultados de simulação e experimentais o desempenho e eficácia das quatro técnicas de MPPT são avaliadas levando em consideração o tempo de convergência, as oscilações de potência em regime permanente, assim como a eficiência na busca do ponto de máxima potência. 1 Palavras-Chave -Otimização dos Lobos Cinzentos, Sistema Fotovoltaico, Sombreamento Parcial, Técnicas de Seguimento do Ponto de Máxima Potência. Abstract -This paper presents a double-stage threephase grid-tied photovoltaic (PV) system capable to deal with partial shading condition issues in PV arrays. Partial shading conditions can affect the overall performance of PV system, once traditional techniques employed to perform the maximum power point tracking (MPPT) can operate in local maximum power pointsArtigo submetido em 14/05/2018. Primeira revisão em 13/07/2018. Aceito para publicação em 08/02/2019 por recomendação do Editor Marcello Mezaroba. http://dx.(LMPP) instead global maximum power point (GMPP). Therefore, four MPPT techniques based on the grey wolf optimization (GWO) are presented, which are able to track the GMPP. Such techniques are denominated in this paper as GWO, GWO-Beta, GWO-IC (Incremental Conductance) and, GWO-P&O Perturb and Observe). The referred MPPT techniques are evaluated and compared to each other employing a PV system composed of a step-up DC/DC converter and a three-leg three-phase inverter. By means of simulation and experimental results, the performance and effectiveness of the MPPT techniques are evaluated considering the convergence time, the power oscillations in steady-state, as well as the maximum power point tracking efficiency.

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“…This paper focuses on the P&O algorithm because of its advantages, for example it can be implemented in analog and digital form, does not require periodic, efficient and easy to implement [2] [3] [8]. The P & O algorithm depend on the slope of the PV characteristic.…”

Section: Introductionmentioning

confidence: 99%

Design And Implementation Soft-switching MPPT SEPIC Converter Using P&O Algorithm

et al. 2018

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Abstract. This paper presents details of design and implementation of Maximum Power Point Tracking (MPPT) SEPIC Converter to maximize Photovoltaic (PV) power output. Perturb and observe (P & O) algorithm has been used as a tracking technique to determine MPPT. This algorithm are simple and efficient to determine the maximum power point (MPP). The soft-switching method will be added to the implementation of MPPT SEPIC Converter to reduce switching losses. The results show that the proposed MPPT method implementation can increase the output power of PV.

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A Grey Wolf-Assisted Perturb & Observe MPPT Algorithm for a PV System

Cited by 319 publications

References 15 publications

Performance Evaluation of Maximum Power Point Tracking Approaches and Photovoltaic Systems

Performance Evaluation of Maximum Power Point Tracking Approaches and Photovoltaic Systems

Análise Comparativa de Algoritmos de Mppt Bioinspirados nos Lobos Cinzentos Empregando um Sistema Fotovoltaico Conectado à Rede Elétrica Trifásica

Design And Implementation Soft-switching MPPT SEPIC Converter Using P&O Algorithm

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