A Modified Bat Algorithm with Reduced Search Space Exploration for MPPT under Dynamic Partial Shading Conditions

Imran Pervez, Charalampos Antoniadis, Hakim Ghazzai, Yehia Mahmoud Massoud

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Photovoltaic (PV) arrays, when subjected to Partial Shading (PS), exhibit several power losses due to diminished current across the array. Therefore, bypass diodes are connected across array modules to avoid the PS effect. Although they reduce the PS effect, the bypass diodes make the Power versus Voltage (P- V) relation of a PV non-convex. This paper investigates the Maximum Power Point Tracking (MPPT) problem under PS conditions to track the PV array's Maximum Power Point (MPP). Because previously proposed algorithms for this problem either failed to track the MPP or were computationally expensive, we propose a modified version of the Bat metaheuristic algorithm with dynamically narrowing search space (DNSS) exploration to avoid exploring low-power regions. The results show around 35 % gain in terms of rapidity and efficiency of the proposed metaheuristic approach in mitigating power losses compared to other existing algorithms.
Original languageEnglish (US)
Title of host publication2023 IEEE International Symposium on Circuits and Systems (ISCAS)
PublisherIEEE
DOIs
StatePublished - Jul 21 2023

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