Artificial Neural Network MPPT Based Lead Acid Battery Charge Controller for Isolated Photovoltaic System

Yacine, Ahmouda; Ouzine, Boussaid; Eddine, Chehaidia Seif

doi:10.1109/iceeat60471.2023.10426385

2023 International Conference on Electrical Engineering and Advanced Technology (ICEEAT) 2023

DOI: 10.1109/iceeat60471.2023.10426385

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Artificial Neural Network MPPT Based Lead Acid Battery Charge Controller for Isolated Photovoltaic System

Ahmouda Yacine,

Boussaid Ouzine,

Chehaidia Seif Eddine

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2024

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An improved takagi - sugeno variable step size perturb and observe MPPT algorithm based lead acid battery charge controller for photovoltaic system

Ahmouda,

Boussaid,

Kherfane

2024

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The main objective of photovoltaic system controller is to reduce the price of the kWh compared to traditional fuel-based electricity. Thus, the improvement of simple and low – cost controllers is a major challenge. Perturb and Observe (P&O) is the commonly used algorithm in order to ensure the power maximization of the photovoltaic system, due to its simplicity and effectiveness. However, on the main drawbacks of that algorithm is the fixed step size of perturbation, due to working environmental changes, which require dynamic tuning of the controller parameter. In order to overcome the cited disadvantage, a new Takagi - Sugeno variable step P&O is proposed. Based on the real-time measurements of the solar radiation and temperature, the proposed fuzzy system schedules the appropriate step size based on human expertise. A zero order Takagi – Sugeno with singleton output is proposed. The fuzzification were carried out using triangular and trapezoidal membership functions. The centroid defuzzification method based 25 If -Then rules are adopted. In order to verify the effectiveness of the improved P&O, three scenarios were used. The obtained results show the effectiveness of the proposed controller under shaded conditions and various temperatures.

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An improved takagi - sugeno variable step size perturb and observe MPPT algorithm based lead acid battery charge controller for photovoltaic system

Ahmouda,

Boussaid,

Kherfane

2024

SEES

View full text Add to dashboard Cite

show abstract

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Artificial Neural Network MPPT Based Lead Acid Battery Charge Controller for Isolated Photovoltaic System

Cited by 1 publication

References 14 publications

An improved takagi - sugeno variable step size perturb and observe MPPT algorithm based lead acid battery charge controller for photovoltaic system

An improved takagi - sugeno variable step size perturb and observe MPPT algorithm based lead acid battery charge controller for photovoltaic system

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