Non-Uniform Aged Modules Reconfiguration for Large-Scale PV Array

Hu, Yihua; Zhang, Jiangfeng; Yu, Dongsheng; Jiang, Lin

doi:10.1109/tdmr.2017.2731850

Cited by 33 publications

(29 citation statements)

References 29 publications

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“…Alternatively, the genetic algorithm approach used to identify the optimised maximum power output from non-uniformly aged PV modules in an array. Other strategies have demonstrated effectiveness in addressing module rearrangement problems for both small-and large-scale PV arrays, but these required searching all potential combinations of PV rearrangements, resulting in excessive computational complexity and time requirements [3,7]. Another benefit is that only the affected PV modules require repositioning, whereas the others can remain in their original positions.…”

Section: Introductionmentioning

confidence: 99%

“…As this can cause a decrease in the cell's short-circuit current to have a much higher effect than a reduction in its open-circuit voltage, typically the short-circuit current measurement is an indicator of the condition of the cell [5,6]. Due to the non-uniform nature of the aging across the module, it is treated as a trio of submodules of varying age characteristics, in series with each other [7].Non-uniform aging within a PV array leads to differing electrical characteristics between the PV modules within that array. Replacement of PV modules is costly, so a new way to enhance the power efficiency of aging PV modules is needed [8].…”

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Gene Evaluation Algorithm for Reconfiguration of Medium and Large Size Photovoltaic Arrays Exhibiting Non-Uniform Aging

Alkahtani

et al. 2020

Energies

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Aging is known to exert various non-uniform effects on photovoltaic (PV) modules within a PV array that consequently can result in non-uniform operational parameters affecting the individual PV modules, leading to a variable power output of the overall PV array. This study presents an algorithm for optimising the configuration of a PV array within which different PV modules are subject to non-uniform aging processes. The PV array reconfiguration approach suggests maximising power generation across non-uniformly aged PV arrays by merely repositioning, rather than replacing, the PV modules, thereby keeping maintenance costs to a minimum. Such a reconfiguration strategy demands data input on the PV module electrical parameters so that optimal reconfiguration arrangements can be selected. The algorithm repetitively sorts the PV modules according to a hierarchical pattern to minimise the impact of module mismatch arising due to non-uniform aging of panels across the array. Computer modelling and analysis have been performed to assess the efficacy of the suggested approach for a variety of dimensions of randomly non-uniformly aged PV arrays (e.g., 5 × 5 and 7 × 20 PV arrays) using MATLAB. The results demonstrate that enhanced power output is possible from a non-uniformly aged PV array and that this can be applied to a PV array of any size.

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Section: Introductionmentioning

confidence: 99%

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Gene Evaluation Algorithm for Reconfiguration of Medium and Large Size Photovoltaic Arrays Exhibiting Non-Uniform Aging

Alkahtani

et al. 2020

Energies

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“…While these active techniques reduce mismatch, they are costlier and often complicated (from deployment perspective) due to the requirement of active sensing (for reconfigurable arrays) as well as active switches. These sensors and switches also affect the reliability of the system itself due to increased point of failures …”

Section: Introductionmentioning

confidence: 99%

Analysis on inverter selection for domestic rooftop solar photovoltaic system deployment

Ali

Khan

2020

Int Trans Electr Energ Syst

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Summary Partial shading is a common occurrence in residential and commercial photovoltaic (PV) installations. It causes mismatch losses, particularly in string and central inverter‐based systems, leading to output power loss and in turn lower performance ratio under partial shading conditions. The choice of string configuration itself is critical in lowering mismatch losses and the levelized energy cost. While a range of commercial inverters with different string configurations and prices are available, many standard string topologies are not optimum for common settings under various shading scenarios. Therefore, in this article, we evaluate various string configurations attached to state‐of‐the‐art commercial inverters widely used in the industry from both mismatch loss and cost perspective. We quantify the impact of various shading scenarios on multiple inverter configurations to ascertain the relative performance of PV systems under symmetrical shading as well as random shading in field settings. For multiple PV system configurations (on a single rooftop), the mismatch loss varied up to 2.3% and 6% under symmetrical shading and field settings, respectively. The levelized cost of electricity also varies from 0.062$/kWh to 0.041$/kWh and is dependent on the type of inverter and string configurations.

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“…Through the above analysis, the methods using operational data of PV array are the most potential fault diagnosis method. But the operational data of the PV array will change with the external environment [28,29], and the output characteristics of the array are easily covered by a large number of data. The author of this paper studied the spatial-temporal distribution characteristics of PV array under different faults [30] and the statistical characteristics of PV array output under different conditions [31].…”

Section: Introductionmentioning

confidence: 99%

A Photovoltaic Array Fault Diagnosis Method Considering the Photovoltaic Output Deviation Characteristics

Zhao¹,

Sun²,

Zhou³

et al. 2020

International Journal of Photoenergy

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There are a large number of photovoltaic (PV) arrays in large-scale PV power plants or regional distributed PV power plants, and the output of different arrays fluctuates with the external conditions. The deviation and evolution information of the array output are easily covered by the random fluctuations of the PV output, which makes the fault diagnosis of PV arrays difficult. In this paper, a fault diagnosis method based on the deviation characteristics of the PV array output is proposed. Based on the current of the PV array on the DC (direct current) side, the deviation characteristics of the PV array output under different arrays and time series are analyzed. Then, the deviation function is constructed to evaluate the output deviation of the PV array. Finally, the fault diagnosis of a PV array is realized by using the probabilistic neural network (PNN), and the effectiveness of the proposed method is verified. The main contributions of this paper are to propose the deviation function that can extract the fault characteristics of PV array and the fault diagnosis method just using the array current which can be easily applied in the PV plant.

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Non-Uniform Aged Modules Reconfiguration for Large-Scale PV Array

Cited by 33 publications

References 29 publications

Gene Evaluation Algorithm for Reconfiguration of Medium and Large Size Photovoltaic Arrays Exhibiting Non-Uniform Aging

Gene Evaluation Algorithm for Reconfiguration of Medium and Large Size Photovoltaic Arrays Exhibiting Non-Uniform Aging

Analysis on inverter selection for domestic rooftop solar photovoltaic system deployment

A Photovoltaic Array Fault Diagnosis Method Considering the Photovoltaic Output Deviation Characteristics

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