Reconfiguration strategies for reducing partial shading effects in photovoltaic arrays: State of the art

Krishna, G. Sai; Moger, Tukaram

doi:10.1016/j.solener.2019.02.057

Cited by 174 publications

(69 citation statements)

References 105 publications

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“…Otherwise, µ k > 0 and the solution of (16) fulfills s k = ∆ k ; with this condition, it is possible to find the solution of (16) and the value of µ k . When µ k 0, the search direction is close to the one of the gradient descent method and (15) approaches to (17). Further details of the Levenberg-Marquardt algorithm are provided in [35].…”

Section: Levenberg-marquardt (Lma)mentioning

confidence: 99%

“…Optimization methods for estimating the PV module parameters are presented as a suitable option to overcome the drawbacks of deterministic and iterative methods. In addition, optimization methods are not only used in PV area for estimating parameters, since the reconfiguration of PV modules to mitigate the effect of partial shading conditions in PV arrays is currently one of the most studied topics [17]. The model proposed in [18] uses the implicit equation that describes the current-voltage relationship in the SDM.…”

Section: Introductionmentioning

confidence: 99%

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A Solution of Implicit Model of Series-Parallel Photovoltaic Arrays by Using Deterministic and Metaheuristic Global Optimization Algorithms

et al. 2020

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The implicit model of photovoltaic (PV) arrays in series-parallel (SP) configuration does not require the LambertW function, since it uses the single-diode model, to represent each submodule, and the implicit current-voltage relationship to construct systems of nonlinear equations that describe the electrical behavior of a PV generator. However, the implicit model does not analyze different solution methods to reduce computation time. This paper formulates the solution of the implicit model of SP arrays as an optimization problem with restrictions for all the variables, i.e., submodules voltages, blocking diode voltage, and strings currents. Such an optimization problem is solved by using two deterministic (Trust-Region Dogleg and Levenberg Marquard) and two metaheuristics (Weighted Differential Evolution and Symbiotic Organism Search) optimization algorithms to reproduce the current–voltage (I–V) curves of small, medium, and large generators operating under homogeneous and non-homogeneous conditions. The performance of all optimization algorithms is evaluated with simulations and experiments. Simulation results indicate that both deterministic optimization algorithms correctly reproduce I–V curves in all the cases; nevertheless, the two metaheuristic optimization methods only reproduce the I–V curves for small generators, but not for medium and large generators. Finally, experimental results confirm the simulation results for small arrays and validate the reference model used in the simulations.

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Section: Levenberg-marquardt (Lma)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Solution of Implicit Model of Series-Parallel Photovoltaic Arrays by Using Deterministic and Metaheuristic Global Optimization Algorithms

et al. 2020

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“…Fathy [16] presented a methodology based on the grasshopper optimization algorithm, GOA, to reconfigure the shaded PV array, the main target is to enhance the output power. Static and dynamic strategies employed to reconfigure the shaded PV array optimally have been reviewed by Krishna et al [17]. The genetic algorithm, GA, has been used for enhancing the output power of the shaded PV array connected in TCT via the reconfiguration process [18].…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Grey Wolf Optimizer for Optimal Design of Switching Matrix for Shaded PV array Dynamic Reconfiguration

et al. 2020

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One of the worst negative phenomena faced by photovoltaic (PV) array is the operation under the shadow phenomenon, which significantly affects the generated power. Multiple local maximum power point (MPP) and unique global MPP are generated from the shaded array. Therefore, regular dispersion of the shadow falling on the PV array surface is a vital issue to extract the GMP via reconfiguration of the shaded modules in the array. This paper proposes a recent approach based on Multi-objective grey wolf optimizer (MOGWO) to reconfigure the shaded PV array optimally. The main objective of the proposed MOGWO is providing the optimal structure for the switching matrix to minimize the row current difference and maximize the output power. The benefits of the proposed strategy is performing a dynamic reconfiguration process which closes to the reality. The proposed method is validated across 9 × 9 PV array with six shade patterns. MOGWO schemes results are compared with TCT and modified SuDoKu based on several statistical metrics. The comparison reveals the superiority of MOGWO in tackling the multi-peak issue in the P-V characteristics with harvesting the highest power levels. INDEX TERMS Multi-objective grey wolf optimizer; grey wolf optimizer; Total-cross-tied; PV reconfiguration, partial shading .

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“…Adopting suitable array configuration as series-parallel (S-P), Total Cross Tied (TCT), Bridge Linked (BL) and Honey Comb (HC), this technique aims to connect the PV array in such a way that shading any module doesn't affect greatly the whole array but can't ensure extracting the maximum possible power [3,4]. System configuration as the use of a multi-level converter connected to each group of PV modules which can reduce the effect of partial shading on the PV array, although this technique increases dramatically the system cost and requires complex control [5]. MPPT techniques [6,7] aiming to operate at the global MPP and avoid being trapped in a local maximum power point, various metaheuristic techniques are adapted for the tracking process [8,9], although MPPT requires accurate PV modeling under various environmental conditions, significant computation and various MPPT techniques are used depending on array size and application.…”

Section: Introductionmentioning

confidence: 99%

Photovoltaic Array Reconfiguration under Partial Shading Based on Integer Link Matrix and Harmony Search

Ryad¹,

Atallah²,

Zekry³

2019

EJEE

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This paper mainly reconfigures a total cross tied (TCT) photovoltaic array (PA) under partial shading, aiming to maximize the power output based on irradiance mismatch index (IMI). First, the positions of the PV modules in the array were represented as an integer link matrix. The binary value of each integer in the matrix stands for the new position of each PV module in the array. Next, the harmony search (HS) was coupled with the integer link matrix to minimize the IMI. Then, the proposed reconfiguration method was compared with several famous techniques through case studies. The results show that the integer link matrix achieved the best reconfiguration pattern for each case, and the HS outperformed all the contrastive metaheuristic algorithms. The research findings shed important new light on PV power generation under partial shading.

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Reconfiguration strategies for reducing partial shading effects in photovoltaic arrays: State of the art

Cited by 174 publications

References 105 publications

A Solution of Implicit Model of Series-Parallel Photovoltaic Arrays by Using Deterministic and Metaheuristic Global Optimization Algorithms

A Solution of Implicit Model of Series-Parallel Photovoltaic Arrays by Using Deterministic and Metaheuristic Global Optimization Algorithms

Multi-Objective Grey Wolf Optimizer for Optimal Design of Switching Matrix for Shaded PV array Dynamic Reconfiguration

Photovoltaic Array Reconfiguration under Partial Shading Based on Integer Link Matrix and Harmony Search

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