Enhanced power generation for total‐cross‐tied PV array using simulated annealing under partial shading conditions

Krishna, G. Sai; Moger, Tukaram

doi:10.1049/iet-rpg.2020.0480

Cited by 13 publications

(7 citation statements)

References 27 publications

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“…Thus, the PV total output power may be reduced. The partial shading issue was widely discussed in the literature [2][3][4]. To deal with this issue, different PV array configurations were proposed to improve power production.…”

Section: Nomenclaturementioning

confidence: 99%

Improved Dynamic Reconfiguration Strategy for Power Maximization of TCT Interconnected PV Arrays under Partial Shading Conditions

Loukriz,

Kichene,

Bendib

et al. 2024

Preprint

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In photovoltaic (PV) systems, partial shading is a major issue that may cause power losses, hot spots, and PV modules damage. Thus, PV array dynamic reconfiguration approaches based on irradiance equalization (IEq) between rows have been proposed to alleviate the shading effect thereby improving PV power production. However, the existing IEq-based reconfiguration techniques focus only on the minimization of row current error, without taking into consideration the voltage effect, which in turn, may result in power losses. In this regard, an improved reconfiguration strategy is proposed in the present paper to maximize the power production of a TCT interconnected PV array operating under partial shading conditions (PSCs). The proposed strategy aims to achieve a PV array reconfiguration that mitigates the droop voltage issue by considering irradiance levels in both rows and columns. An in-depth investigation of a typical PV module and TCT module is provided, demonstrating that there are cases where the partial shading does not affect the PV module current but the operating voltage. In addition, an analysis highlighting the limitations of the IEq technique regarding the droop voltage issue is presented. Furthermore, mathematical development is established for deriving the objective function of the proposed strategy. The efficiency of the proposed reconfiguration strategy is assessed through experimental tests carried out on a 20 MWp PV station in Ain El-Melh, Algeria. The obtained results reveal that the proposed method overcomes the weaknesses of the existing IEq strategy and ensures power production higher than the TCT and IEq configurations by 17.25% and 19.34%, respectively.

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Section: Nomenclaturementioning

confidence: 99%

Improved Dynamic Reconfiguration Strategy for Power Maximization of TCT Interconnected PV Arrays under Partial Shading Conditions

Loukriz,

Kichene,

Bendib

et al. 2024

Preprint

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show abstract

“…The location of the modules in the TCT network is changed according to the skyscraper model in one go for all shadings [16]. This method requires more wiring; this would increase the voltage drop in the PV systems [16]. Shading effects cannot be spread uniformly across every row [16].…”

Section: Table 1 the Comparison Between Par And Earmentioning

confidence: 99%

“…This method requires more wiring; this would increase the voltage drop in the PV systems [16]. Shading effects cannot be spread uniformly across every row [16]. EAR Flexibility Dynamically controllable…”

Section: Table 1 the Comparison Between Par And Earmentioning

confidence: 99%

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Performance of PV array configurations under dynamic partial shadings

Shao

Migan‐Dubois

2023

EPJ Photovolt.

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The partial shading effect (PSE) is responsible for most power losses in a photovoltaic (PV) system. By modifying the interconnections between PV modules, called PV array reconfiguration, it is possible to improve the power output under partial shading conditions (PSCs). Compared to research on static PSCs, the impact of dynamic PSCs on PV arrays is rarely mentioned, although it deserves to be studied. This paper studies the dynamic PSE on four traditional PV configurations and two reconfiguration techniques based on a 5 × 5 PV array. The four traditional PV configurations are Series-Parallel (SP), Bridge-Link, Honey-Comb, and Total-Cross-Tied (TCT). The two reconfiguration techniques are SuDoKu (SDK) representing Physical Array Reconfiguration (PAR) and Electrical Array Reconfiguration (EAR). The dynamic PSCs are simplified to three types based on the varying orientation: horizontal, vertical, and diagonal. Simulations are carried out with Matlab & Simulink. The performance comparison for the four traditional PV array and two reconfiguration techniques is based on daily energy losses. The results show that four traditional PV configurations techniques, in all PSCs' scenarios, EAR has the most stable performance and the lowest energy losses. The energy losses of SP connection are the largest in all PSCs cases. Although their performance varies depending on the partial shading case, Total-Cross-Tied and SudoDKu lead to the lowest energy losses.

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“…[ 30,31 ] Furthermore, defining the initial parameters (

\left(\text{c}\right)_{1}

\left(\text{c}\right)_{2}

, w ) in PSO is complicated. Coyote optimization, [ 32 ] population‐based DPVAR, [ 33 ] adaptive jellyfish algorithm, [ 34 ] marine predators algorithm, [ 35 ] modified Harris hawks optimizer (MHHO), [ 36 ] chaos map‐based reconfiguration, [ 37 ] and simulated annealing [ 38 ] are different algorithms presented in the literature to enhance the power by reconfiguration. However, tuning the parameters to achieve an optimal solution is a tedious task in these algorithms.…”

Section: Introductionmentioning

confidence: 99%

Dual‐Objective Optimization for Maximizing Photovoltaic Output Power in a Two‐Stage Single‐Phase Grid‐Tied System

K.T.,

Reddy,

Jain

2023

Energy Tech

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The effective utilization of photovoltaic systems (PVS) is significantly affected by partial shading (PS). Although total cross‐tied topology minimizes the power loss, the partial shading condition (PSC) decreases the output power generation and exhibits multiple power peaks in the Power Voltage characteristics. To address this issue, a dual‐objective optimization technique based on reduced search space equilibrium optimization (RSS‐EO) for a single‐phase, two‐stage grid‐connected PVS, is presented. The proposed technique accomplishes two objectives 1) maximizing power generation by reconfiguring the PV modules using a switching matrix based on irradiance equalization and 2) extracting the global maximum power (GMP) with faster convergence, negligible steady‐state oscillations, and reduced steady‐state error. The simulation and experimental results validate the effectiveness of the proposed RSS‐EO technique in efficiently distributing shade over the entire PV array and tracking GMP. The power enhancements achieved by RSS‐EO, particle swarm optimization, and Munkres are 23.03%, 20.02%, and 19.01%, respectively. Additionally, the proposed method exhibits an average mismatch power loss of 738 W, a fill factor of 58.1%, and a percentage power loss of 26.83%. Furthermore, the proposed algorithm is evaluated based on energy calculations and shows better performance by achieving the shortest payback period of 1.6 years.

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Enhanced power generation for total‐cross‐tied PV array using simulated annealing under partial shading conditions

Cited by 13 publications

References 27 publications

Improved Dynamic Reconfiguration Strategy for Power Maximization of TCT Interconnected PV Arrays under Partial Shading Conditions

Improved Dynamic Reconfiguration Strategy for Power Maximization of TCT Interconnected PV Arrays under Partial Shading Conditions

Performance of PV array configurations under dynamic partial shadings

Dual‐Objective Optimization for Maximizing Photovoltaic Output Power in a Two‐Stage Single‐Phase Grid‐Tied System

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