Modified Grey Wolf Optimization for Maximum Power Point Tracking in Photovoltaic System under Partial Shading Conditions

Tjahjono, Anang; Anggriawan, Dimas Okky; Habibi, Muhammad Nizar; Prasetyono, Eka

doi:10.15676/ijeei.2020.12.1.8

Cited by 8 publications

(8 citation statements)

References 18 publications

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“…Delta and omega take the role dealing the wounded members in the wolfpack. Gray wolves finish the hunt by attacking their prey when it gets stuck and stops [70].…”

Section: Grey Wolf Optimization (Gwo)mentioning

confidence: 99%

A Review and Classification of Most Used MPPT Algorithms for Photovoltaic Systems

Tozlu¹,

Çalik²

2021

Hittite J. Sci. Eng.

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E nergy, which can be defined as the ability to do work in its basic form, is in an indispensable position to sustain human life, meet their needs, and increase the quality of life. Over time, there is a serious increase in the total energy consumed in the world due to many reasons such as the increase in the human population, changes in people's lifestyle, increase in production, and technological developments. Energy production should be increased in order to meet the energy needs. Approximately 80% of the energy produced in the world is produced in power plants where natural gas and coal are used as the main energy source [1]. It is thought that toxic gases such as carbon, sulfur, heavy metals mixed into the soil and many other wastes released into the atmosphere during energy production from these limited fossil resources on earth will have negative effects on nature and living things over the years. Renewable energy sources, especially solar energy, are seen as an important alternative here. Because the sun sends more than the energy consumed in the world as clean energy every day. Solar energy has gained a place as a serious choice with its advantages such as very low operating and maintenance costs and being the most Article History:

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“…Delta and omega take the role dealing the wounded members in the wolfpack. Gray wolves finish the hunt by attacking their prey when it gets stuck and stops [70].…”

Section: Grey Wolf Optimization (Gwo)mentioning

confidence: 99%

A Review and Classification of Most Used MPPT Algorithms for Photovoltaic Systems

Tozlu¹,

Çalik²

2021

Hittite J. Sci. Eng.

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“…Based on the results of the above studies, this paper has designed a PV maximum power controller and achieved the expected results. Inspired by the grey wolf optimization [12] and the hybrid method combining the GWO and P&O methods [13], a new hybrid method is proposed to effectively search the global MPP. In this hybrid method, the improved GWO method is applied to search the global region quickly, and move to the In-Cond algorithm to find the MPP in this global area.…”

Section: Introductionmentioning

confidence: 99%

A hybrid method based MPP tracking strategy for solar power systems

Ngo¹,

Ngo²,

Nguyen³

2022

Proceedings of the Seventh International Conference on Research in Intelligent and Computing in Engineering

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“…From the literature survey, 20 the soft computing methods are applied to the solar PV power generation systems in order to supply the high PV output power to the load. The soft computing algorithms are categorized as Artificial Neural Network (ANN), 21 Genetic Algorithm (GA), 22 Fuzzy Logic Controller (FLC), 23 Particle Swarm Optimization (PSO), 24 Artificial Neuro‐Fuzzy Interface Systems (ANFIS), 25 and Grey Wolf Optimization (GWO) 26 …”

Section: Introductionmentioning

confidence: 99%

“…The soft computing algorithms are categorized as Artificial Neural Network (ANN), 21 Genetic Algorithm (GA), 22 Fuzzy Logic Controller (FLC), 23 Particle Swarm Optimization (PSO), 24 Artificial Neuro-Fuzzy Interface Systems (ANFIS), 25 and Grey Wolf Optimization (GWO). 26 In Srinivasan et al, 21 the ANN MPPT controller is used to improve the output voltage profile of the solar PV system at dynamic irradiation conditions. The disadvantage of ANN is required high training time when network complexity is very high.…”

Section: Introductionmentioning

confidence: 99%

A new design of transformerless, non‐isolated, high step‐up DC‐DC converter with hybrid fuzzy logic MPPT controller

Basha¹,

Murali²

2021

Circuit Theory & Apps

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Under Partial Shading Conditions (PSCs), the solar PV nonlinear characteristics consist of multiple Maximum Power Points (MPPs). As a result, it is very difficult to extract the peak power of the solar PV. In this article, an Improved Grey Wolf Optimization‐based Fuzzy Logic Controller (IGWO‐FLC) is proposed to track the MPP of the solar PV. The advantages of the proposed hybrid soft computing Maximum Power Point Tracking (MPPT) controller are high accuracy, very less oscillations across MPP, and high tracking speed. Also, a new transformerless, high step‐up, Non‐isolated Boost Converter (NIBC) is introduced in this work to improve the voltage profile of the solar PV system at different atmospheric conditions. The introduced converter circuit makes use of the network LC3D3 to improve the voltage conversion ratio, reduced voltage stress on switches, and universal input voltage. In addition, the network LC3D3 acts as a filter to reduce the output power ripples of the converter. The steady‐state performance of the proposed converter is analyzed at Continuous Conduction Mode (CCM) and Discontinuous Conduction Mode (DCM) of operations. The MATLAB/Simulink window is used to validate the proposed PV fed NIBC system at uniform and different PSCs of the solar PV. Also, the NIBC performance is investigated by applying an M62252P8020 type programmable DC‐source.

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Modified Grey Wolf Optimization for Maximum Power Point Tracking in Photovoltaic System under Partial Shading Conditions

Cited by 8 publications

References 18 publications

A Review and Classification of Most Used MPPT Algorithms for Photovoltaic Systems

A Review and Classification of Most Used MPPT Algorithms for Photovoltaic Systems

A hybrid method based MPP tracking strategy for solar power systems

A new design of transformerless, non‐isolated, high step‐up DC‐DC converter with hybrid fuzzy logic MPPT controller

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