An Enhanced MPPT with Incremental Conductance and Owl Search Algorithm under Partial Shading

Using a maximum power point tracking approach, the highest feasible power is extracted from photovoltaic modules. Nonetheless, the complexity of this approach is increased by some environmental situations that photovoltaic arrays may encounter, such as partial shading, in which the efficiency will d...

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Bibliographic Details
Published in2022 International Conference on Smart Systems and Power Management (IC2SPM) pp. 147 - 152
Main Authors Altamimi, Sara N., Jamleh, Hani O., Feilat, Eyad A., Abualnadi, Dia
Format Conference Proceeding
LanguageEnglish
Published IEEE 10.11.2022
Subjects
Costs
Maximum power point trackers
maximum power point tracking
optimization
Oscillators
Owl Search Algorithms
partial shading
Photovoltaic
Photovoltaic systems
Power system management
Simulation
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Summary:Using a maximum power point tracking approach, the highest feasible power is extracted from photovoltaic modules. Nonetheless, the complexity of this approach is increased by some environmental situations that photovoltaic arrays may encounter, such as partial shading, in which the efficiency will decrease and causes less power generation. In this research, we present a novel methodology for a medium-sized 100 kWp photovoltaic system based on the Incremental Conductance Algorithm and the Owl Search Algorithm which is utilized primarily to improve the convergence under partial shadowing situations. The proposed method outperforms the conventional method, and the results are compared.
DOI:10.1109/IC2SPM56638.2022.9988850