Archimedes optimization algorithm based extremum seeking control maximum power point tracking for enhancing performance and efficiency of photovoltaic systems

Slow reaction owing to fixed-step change, high ripple, and increased oscillation due to swings around maximum power point are the main drawbacks of conventional Maximum Power Point Tracking (MPPT). This study proposes a hybrid MPPT control to address these concerns .In this study we used the Extremu...

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Bibliographic Details
Main Authors: Hannon, Hamid A. Abed, Abdulsadda, Ahmad T., Latif, Haider K.
Format: Conference Proceeding
Language:English
Subjects:
Algorithms
Heuristic methods
Maximum power tracking
Optimization
Parameters
Photovoltaic cells
Ripples
Tracking control
Online Access:Get full text
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Summary:Slow reaction owing to fixed-step change, high ripple, and increased oscillation due to swings around maximum power point are the main drawbacks of conventional Maximum Power Point Tracking (MPPT). This study proposes a hybrid MPPT control to address these concerns .In this study we used the Extremum Seeking Control(ESC) based on a metaheuristic Archimedes Optimization Algorithm (AOA) to achieve MPPT in PV panels under non-uniform conditions. Two parameters of the extremum-seeking control is tuned using the Archimedes optimization algorithm. The proposed system parameters is examined by simulation using MATLAB/Simulink. According to the simulation results, the proposed MPPT effectively achieves the MPP under any non-uniform situation with less overshoot, oscillation and ripple compared to traditional MPPT. The suggested MPPT has an efficiency of up to 99.65%.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0137307