Optimal reconfiguration of shaded PV based system using African vultures optimization approach

Alanazi, Mohana; Fathy, Ahmed; Yousri, Dalia; Rezk, Hegazy

doi:10.1016/j.aej.2022.06.009

Cited by 26 publications

(15 citation statements)

References 47 publications

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“…The comparison of various reconfiguration strategies with the proposed ones has been given in Table 5. Parameter EARbased 23,24 Optimizationbased [19][20][21][22] AIbased 25,26 Puzzlebased 28 Chaoticbased 29 Numberbased 32 Shiftbased 33 Proposed RT…”

Section: Overall Comparison Of Proposed Methodologies With Existing Onesmentioning

confidence: 99%

“…Contrarily, the proposed method does away with the requirement for them. • The proposed methods circumvent the shortcomings of population-based meta-heuristic optimization algorithms [19][20][21][22] such as wide dimensional search space, convergence issues, parameter choice issues, trapping at local optimum, weighting factor screening difficulties, enormous computations, and increased processing time. • The proposed approaches, in contrast to the current logic-and puzzle-based methodologies, 28,31 are easily deployable and suitable with all array sizes.…”

Section: Comparison Of Proposed Reconfiguration Approach With State-o...mentioning

confidence: 99%

“…17 Reconfiguring the PV array not only mitigates the LMPPs but also enhances the GMP by a significant percentage due to the reduction in the mismatch. The recent developments and the existing research on various static and dynamic reconfiguration strategies have been reviewed in detail in Yang et al 18 The dynamic reconfiguration strategies encompass various optimization based, [19][20][21][22] electrical array reconfiguration (EAR) based, 23,24 artificial intelligence (AI) based, 25,26 adaptive array reconfiguration based, 27 and so forth. Further, the static strategies include puzzlebased, 28 chaotic-based, 29 magic square-based, 30 logic-based, 31 and analytical 32 and shift-based 33 strategies.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A novel hybrid image processing‐based reconfiguration with RBF neural network MPPT approach for improving global maximum power and effective tracking of PV system

Rao

Raj

Naik

2023

Circuit Theory & Apps

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SummaryThe solar photovoltaic (PV) array output is reduced significantly by the frequently occurring inevitable partial shading conditions. In consequence, the array exhibits multiple peaks in its characteristics that cause the conventional maximum power point tracking (MPPT) algorithms to get stuck at the local maximum. So, to track the global maximum power (GMP) among the multiple peaks, a novel radial basis function (RBF)‐based neural network approach has been proposed for predicting the optimal GMP. Additionally, a novel and intelligent encryption‐based ruler transform (RT) reconfiguration approach is proposed to disperse the shading effect enhancing the GMP and mitigating the multiple peaks. The effectiveness of the proposed RBF‐MPPT and novel RT‐reconfiguration strategies has been tested and analyzed for a 5 × 7 PV array under distinct dynamic, uniform, and nonuniform shading conditions. The results of the proposed RBF have been compared with the conventional incremental conductance (INC) algorithm before and after reconfiguration of the PV array. Further, the ease of GMP tracking by a simple conventional INC due to the reduction of peaks after the array reconfiguration under shading conditions has been demonstrated and discussed in detail. After reconfiguration, the GMP is enhanced by 37.35%, 31.41%, 30.86%, 21.46%, 13.69%, and 8.88%, using the proposed RBF for the considered five shading conditions. The steady‐state oscillations are also considerably mitigated by employing the proposed reconfiguration and RBF strategies.

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Section: Overall Comparison Of Proposed Methodologies With Existing Onesmentioning

confidence: 99%

Section: Comparison Of Proposed Reconfiguration Approach With State-o...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A novel hybrid image processing‐based reconfiguration with RBF neural network MPPT approach for improving global maximum power and effective tracking of PV system

Rao

Raj

Naik

2023

Circuit Theory & Apps

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“…Many enhanced versions of AVAO have been proposed recently to address many issues in different fields. For example, to reconfigure PV systems, AVOA is used to address such problems (Alanazi et al, 2022). Also, AVOA has been successfully used to optimize tube heat and shell exchanger (Gürses et al, 2022).…”

Section: Literature Reviewmentioning

confidence: 99%

A multi-strategy enhanced African vultures optimization algorithm for global optimization problems

Zheng

Hussien

Qaddoura

et al. 2023

Journal of Computational Design and Engineering

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The African vultures optimization algorithm (AVOA) is a recently proposed metaheuristic inspired by the African vultures’ behaviors. Though the basic AVOA performs very well for most optimization problems, it still suffers from the shortcomings of slow convergence rate and local optimal stagnation when solving complex optimization tasks. Therefore, this study introduces a modified version named Enhanced AVOA (EAVOA). The proposed EAVOA uses three different techniques namely representative vulture selection strategy, rotating flight strategy, and selecting accumulation mechanism, respectively, which are developed based on the basic AVOA. The representative vulture selection strategy strikes a good balance between global and local searches. The rotating flight strategy and selecting accumulation mechanism are utilized to improve the quality of the solution. The performance of EAVOA is validated on twenty-three classical benchmark functions with various types and dimensions and compared to those of nine other state-of-the-art methods according to numerical results and convergence curves. In addition, three real-world engineering design optimization problems are adopted to evaluate the practical applicability of EAVOA. Furthermore, EAVOA has been applied to classify multilayer perception using XOR and cancer datasets. The experimental results clearly show that the EAVOA has superiority compared to other methods.

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“…Due to the structural characteristics and manufacturing errors of the concentrated SSPS, the light intensity distribution on the solar receiver is not uniform. The non-uniform light intensity distribution can cause mismatch losses, reduce power generation, cause hot spot problems, and even cause damage to the PV array (Alanazi et al, 2022). Uneven light intensity distribution reduces the performance of PV arrays, which affects the power generation of SSPS.…”

Section: Introductionmentioning

confidence: 99%

Current-injected photovoltaic array for concentrated space solar power station

Mi²,

Zhang³

et al. 2023

Front. Energy Res.

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In this article, the power generation of a concentrated space solar power station (SSPS) is enhanced by current-injected total-cross-tied (TCT-CI) photovoltaic (PV) array. First, a mathematical model of the TCT-CI–connected PV array is established. Second, PV arrays with several common topologies and TCT-CI topology are simulated and analyzed using MATLAB/Simulink. At last, comparative experiments are conducted for TCT and TCT-CI–connected PV arrays under the condition of non-uniform light intensity distribution. The results of the above indicate the following: 1) TCT-CI–connected PV arrays reduce the difficulty of MPPT in concentrated SSPS, 2) TCT-CI–connected PV arrays increase the power generated in concentrated SSPS, and 3) TCT-CI–connected PV arrays are applicable for concentrated SSPS.

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Optimal reconfiguration of shaded PV based system using African vultures optimization approach

Cited by 26 publications

References 47 publications

A novel hybrid image processing‐based reconfiguration with RBF neural network MPPT approach for improving global maximum power and effective tracking of PV system

A novel hybrid image processing‐based reconfiguration with RBF neural network MPPT approach for improving global maximum power and effective tracking of PV system

A multi-strategy enhanced African vultures optimization algorithm for global optimization problems

Current-injected photovoltaic array for concentrated space solar power station

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