f Optimizing Solar PV Array Reconfiguration for Maximum Power Extraction Using Hippopotamus Algorithm under Partial Shading
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Research Article |

Optimizing Solar PV Array Reconfiguration for Maximum Power Extraction Using Hippopotamus Algorithm under Partial Shading

Author(s): C Prasanth Sai* and M Vijaya Kumar

Published In : International Journal of Electrical and Electronics Research (IJEER)        Volume 12, Issue 4

Publisher : FOREX Publication

Published : 30 November 2024

e-ISSN : 2347-470X

Page(s) : 1264-1272

DOI: https://doi.org/10.37391/IJEER.120418

Abstract

This research paper presents an innovative approach to maximizing power extraction from solar photovoltaic (PV) arrays under partial shading conditions by employing the Hippopotamus Optimization Algorithm (HOA). Partial shading is a common issue that significantly reduces the efficiency of PV systems by creating multiple local maxima on the P-V curve, thereby challenging conventional Maximum Power Point Tracking (MPPT) methods. To address this, we propose an adaptive reconfiguration strategy for the PV array, optimized using HOA, which successfully moderates the impacts of shading and enhances overall energy yield. The Hippopotamus Optimization Algorithm, inspired by the foraging behavior of hippopotamuses, is utilized for its robust global search capabilities and fast convergence. The algorithm dynamically adjusts the arrangement of the PV module to locate and maintain operation at the global maximum power point. Our methodology involves simulating various shading scenarios and evaluating the performance of HOA-based reconfiguration against traditional MPPT techniques. Simulation results demonstrate a significant improvement in power extraction efficiency, with the HOA-based reconfiguration strategy consistently achieving higher power output compared to conventional methods. Additionally, the proposed system exhibits enhanced adaptability to changing shading patterns, ensuring reliable performance in diverse environmental conditions. The findings highlight the potential of the Hippopotamus Optimization Algorithm as a powerful tool for optimizing PV schemes, particularly in scenarios where shading is inevitable. This study contributes to the advancement of renewable energy technologies by offering a novel solution for improving the efficiency and reliability of solar PV arrays.

Keywords: Hippopotamus Optimization Algorithm (HOA), Solar PV Array, Partial Shading, Maximum Power Point Tracking (MPPT), Reconfiguration Strategy.




C Prasanth Sai*, Research Scholar, Jawaharlal Nehru Technological University Anantapur, India; Email: prashanth.chukkaluri@gmail.com

M Vijaya Kumar, Professor, Jawaharlal Nehru Technological University Anantapur, India; Email: mvk.eee@jntua.ac.in

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C Prasanth Sai and M Vijaya Kumar (2024), Optimizing Solar PV Array Reconfiguration for Maximum Power Extraction Using Hippopotamus Algorithm under Partial Shading. IJEER 12(4), 1269-1277. DOI: 10.37391/IJEER.120418.