Journal Article10.1016/J.RENENE.2018.08.077
Partial shading mitigation of PV systems via different meta-heuristic techniques
184
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.
read more
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.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Smart hybrid algorithm for global maximum power point tracking under partial shading conditions
Rachid Bennia,Faiza Belhachat,Chérif Larbès +2 more
Abstract: ABSTRACT Maximum power point tracking (MPPT) is a complex task due to the nonlinear behavior of the photovoltaic (PV) array. Moreover, partial shading (PS) is a major problem that significantly decreases the overall system’s efficiency, whereas traditional algorithms are mostly local searches and thus cannot guarantee global optimality. Therefore, Swarm Intelligence (SI) algorithms are developed to circumvent this problem. Existing SI algorithms like Cuckoo Search (CS) and particle swarm optimization (PSO) have been used to address partial shading issues; nevertheless, there is a research gap in developing hybrid methods that combine these two algorithms to enhance MPPT performance under various environmental conditions. This paper fills this research gap by providing a novel hybrid algorithm called Smart Hybrid Algorithm (SHA). The developed optimizer avoids the common disadvantages of conventional MPPT techniques and provides a simple and robust MPPT tracker to handle PS in PV systems effectively. The proposed optimizer features a reset function to restart the search process for the new GMPP at any irradiance change. Multiple performance tests were conducted using 4S, 8S, 10S, 12S, and 4S2P PV array configurations to investigate the performance of our optimizer. The results obtained are compared to those of well-known recent algorithms. The proposed system demonstrates a convergence time of less than one second and a steady state power efficiency exceeding 99.79% across various complex partial shading scenarios. It also offers a convergence time reduction of at least 14% compared to other techniques. The findings demonstrate the robustness and suitability of SHA to handle complex partial shading conditions (CPSCs) and uniform irradiance with high dynamic and steady-state efficiencies and minor transient power fluctuations.
Numerical Performance Evaluation of Solar Photovoltaic Water Pumping System under Partial Shading Condition using Modern Optimization
Jouda Arfaoui,Hegazy Rezk,Mujahed Al-Dhaifallah,Feki Elyes,Mami Abdelkader +4 more
- 16 Nov 2019
TL;DR: Two MPP tracking strategies are proposed and compared and it is found that the SSA method can provide higher photovoltaic generated power than the P&O method under shading condition and the pump flowrate is increased.
Optimal placement of bypass diodes in PV modules for energy production improvement under partial shading conditions
Nikola Krstić,Dragan Tasić,Dardan Klimenta +2 more
Abstract: This paper determines the optimal placement of bypass diodes in photovoltaic (PV) modules to increase their energy production in the case of partial shading while protecting each PV cell from overheating. Within the optimal placement, the optimal number and the optimal locations of bypass diodes are obtained using the metaheuristic optimization method of genetic algorithm (GA). The optimization method finds the optimal solution by maximizing the power of the maximum power point (MPP) on the power-voltage (P-V) characteristics generated from the created model of the PV module under partial shading. This model is created using the five-parameter single-diode PV cell model and allows the implementation of different shading patterns and different locations of bypass diodes in the PV modules. To simulate the effects of static and dynamic shading of the PV module surface, horizontal, vertical, diagonal, and random shading patterns are used. The obtained results show that the optimal placement of bypass diodes in PV modules can significantly increase their energy production, especially for the cases with low solar irradiance of the shaded PV cells. This energy increment is between 30% and 80 % depending on the shading pattern, when the solar irradiance of the shaded PV cells is 70 % reduced compared to the unshaded cells.
Analyzing grid connected shaded photovoltaic systems with steady state stability and crow search MPPT control
Mouna Ben Smida,Ahmad Taher Azar,A. Sakly,Ibrahim A. Hameed +3 more
TL;DR: A novel Crow Search Algorithm (CSA) MPPT technique for grid-connected shaded PV systems is proposed to accurately track the global maximum power point (GMPP) under partial shading conditions. The CSA is a simple and effective method that outperforms fuzzy logic controller (FLC) and Inc-Cond techniques.
Optimal Rotor Design of Synchronous Reluctance Machines Considering the Effect of Current Angle
Hegazy Rezk,Kotb B. Tawfiq,Peter Sergeant,Mohamed Nabil Fathy Ibrahim +3 more
- 09 Feb 2021
TL;DR: In this article, the impact of considering the current angle as a variable during the optimization process on the resulting optimal geometry of the SynRM rotor was analyzed and compared for different ranges of current angles.
References
Grey Wolf Optimizer
TL;DR: The results of the classical engineering design problems and real application prove that the proposed GWO algorithm is applicable to challenging problems with unknown search spaces.
15K
No free lunch theorems for optimization
TL;DR: A framework is developed to explore the connection between effective optimization algorithms and the problems they are solving and a number of "no free lunch" (NFL) theorems are presented which establish that for any algorithm, any elevated performance over one class of problems is offset by performance over another class.
GSA: A Gravitational Search Algorithm
TL;DR: A new optimization algorithm based on the law of gravity and mass interactions is introduced and the obtained results confirm the high performance of the proposed method in solving various nonlinear functions.
6.9K
Salp Swarm Algorithm
Seyedali Mirjalili,Amir H. Gandomi,Seyedeh Zahra Mirjalili,Shahrzad Saremi,Hossam Faris,Seyed Mohammad Mirjalili +5 more
TL;DR: The qualitative and quantitative results prove the efficiency of SSA and MSSA and demonstrate the merits of the algorithms proposed in solving real-world problems with difficult and unknown search spaces.
4.4K
Moth-flame optimization algorithm
TL;DR: The MFO algorithm is compared with other well-known nature-inspired algorithms on 29 benchmark and 7 real engineering problems and the statistical results show that this algorithm is able to provide very promising and competitive results.
4K