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Assist. Radwa Sabry AbdAllah Gad :: Publications: |
Title: | An Alternative Algorithm to Invasive Weed Optimization Based Global Maximum Power Point Tracking for PV Array Under Partial Shading Conditions |
Authors: | Hegazy Zaher, Mohamed Husien Mohamed Eid, Radwa S. A. Gad, I. M. Abdelqawee. |
Year: | 2020 |
Keywords: | PV systems; Global maximum power point tracking; partial shading; Invasive Weed; Modern Optimization. |
Journal: | International Journal of Advanced Trends in Computer Science and Engineering (IJATCSE) |
Volume: | 9 |
Issue: | 2020 |
Pages: | 7467-7477 |
Publisher: | http://www.warse.org/IJATCSE |
Local/International: | International |
Paper Link: | |
Full paper | Radwa Sabry AbdAllah Gad_An Alternative Algorithm to Invasive Weed Optimization Based Global Maximum Power Point Tracking for PV Array Under Partial Shading Conditions.pdf |
Supplementary materials | Not Available |
Abstract: |
In this study, a global maximum power point tracking technique based on invasive weed optimization algorithm for PV array under partial shading conditions is proposed. This technique is not used before with this problem. The power-voltage curve of the PV array has several local maximum power points. The proposed method converges successfully to the global maximum. An overall statistical appraisal of the proposed technique compared with different meta-heuristic techniques mentioned in literature is executed under different scenarios of shading conditions to estimate the superiority of the proposed technique over all other techniques. The statistical metrics are including geometric mean, the root mean square error, mean absolute error, standard deviation, arithmetic mean, significance, and efficiency, in addition to a proposed one for measuring solution stability. The proposed algorithm is considered to be the most efficient and outstanding optimization technique compared to corresponding ones. |