Journal Article10.1016/J.RENENE.2018.08.077
Partial shading mitigation of PV systems via different meta-heuristic techniques
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TL;DR: This paper intended to present novel optimization techniques to mitigate the PS effect and proficiently track the global maximum power point (GMPP) and gives an open reference to these optimizers to attempt mass research works in PV systems under PS.
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About: This article is published in Renewable Energy. The article was published on 01 Jan 2019. The article focuses on the topics: Maximum power point tracking & Photovoltaic system.
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Citations
Dynamic global power extraction of partially shaded PV system using a hybrid MPSO-PID with anti-windup strategy
Ibrahim Al-wesabi,Zhijian Fang,Hassan M. Hussein Farh,Zhiguo Wei,Khaled Ameur,Abdullrahman A. Al-Shamma'a,Abdullah M. Al-Shaalan +6 more
TL;DR: A hybrid MPSO-PID with anti-windup strategy is proposed to overcome PSO's drawbacks in partially shaded PV systems, achieving faster convergence and reduced oscillations, outperforming conventional PSO and modified PSO versions in tracking dynamic global peaks.
7
Stochastic Fractal Search Optimization Algorithm Based Global MPPT for Triple-Junction Photovoltaic Solar System
Hegazy Rezk,Ahmed Fathy +1 more
TL;DR: For the first time, a stochastic fractal search (SFS) optimization algorithm is applied to solve the dilemma of tracking the global power of PV system based triple-junction solar cells under shading conditions and the effectiveness and robustness of the proposed global MPPT–SFS based tracker is confirmed.
7
A Novel Experimental and Approach of Diagnosis, Partial Shading, and Fault Detection for Domestic Purposes Photovoltaic System Using Data Exchange of Adjacent Panels
TL;DR: In this article, a new detection method of fault and partial shading condition (PSC) in a photovoltaic (PV) domestic network, considering maximum power point tracking (MPPT), was presented.
Performance analysis of the global maximum power point tracking based on spider monkey optimization for PV system
Mohammed Aslam Husain,Suresh Pingale,Aboo Bakar Khan,Ahmad Faiz Minai,Yudhishthir Pandey,Radhe Shyam Dwived +5 more
TL;DR: This study proposes a global maximum power point tracking (GMPPT) technique using Spider Monkey Optimization (SMO) for photovoltaic systems, achieving improved efficiency with reduced errors and settling time, validated through simulation and hardware results.
7
Photovoltaic Array Reconfiguration under Partial Shading Based on Integer Link Matrix and Harmony Search
TL;DR: In this article, the authors mainly reconfigures a total cross tied (TCT) photovoltaic array under partial shading, aiming to maximize the power output based on irradiance mismatch index (IMI).
References
Grey Wolf Optimizer
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