Analysis of partial shading effect on energy output of different solar PV array configurations

Saiprakash, Chidurala; Mohapatra, Alivarani; Nayak, Byamakesh; Ghatak, Sriparna Roy

doi:10.1016/j.matpr.2020.08.307

Cited by 31 publications

(15 citation statements)

References 10 publications

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“…Some previous studies have focused on proposing simplified methods to simulate the I-V curve in shading situations (Bai et al, 2015;Deline et al, 2013;Kermadi et al, 2020), while others verify the impact of different shading patterns (Ahmad et al, 2017;Alonso-García et al, 2006;Gallardo-Saavedra and Karlsson, 2018). These shading effects can be reduced through different configurations of the PV module (Baka et al, 2019;Daliento et al, 2016;Ghosh et al, 2019) or the PV array (Karatepe et al, 2007;Mohammadnejad et al, 2016;Saiprakash et al, 2020). Sai Krishna and Moger (2019) reviewed the state of the art of techniques to reduce the effect of partial shading, which are the bypass diode, different configurations of PV array interconnections, distributed maximum power point tracking (MPPT) techniques, multilevel inverters and reconfiguration strategies.…”

Section: Literature Reviewmentioning

confidence: 99%

Accuracy investigation in the modeling of partially shaded photovoltaic systems

2021

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Software for simulation of photovoltaic (PV) systems is widely used for dimensioning and forecasting electrical production. A factor of losses in PV installations is the partial shading caused by surrounding elements, and these software allow the user to estimate this effect. However, the accuracy of these simulated results for shaded PV systems is not widely studied. The purpose of this article is to investigate the accuracy and quantify the differences between simulated and measured data of partially shaded PV systems, obtained with the widely used tools SAM and PVSyst. Measured data from a PV installation were compared to results from simulations performed using the different shading calculation options available in both tools. The simulated outputs were both underestimated and overestimated in the shading situations. This variation was related to the use of an hourly fraction of shading and, in the case of SAM, due to the limitations of the 3D tools available for representation. Another source of differences between simulated and measured values was the use of uniform shading factors for diffuse and albedo. In addition, the simplification of the 3D model had a significant impact on the predicted energy, mainly on cloudy days. Both software overestimated the electricity production for the entire measurement period, reaching differences between the predicted and the measured energy varying from 9% to 24%. Shaded PV systems must be carefully analyzed, and the simulated results may differ from the measured values, which may even influence the decision on the feasibility of an installation.

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Section: Literature Reviewmentioning

confidence: 99%

Accuracy investigation in the modeling of partially shaded photovoltaic systems

2021

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“…Such a challenge has been addressed in several works. For example, in [21], it was concluded that SP arrays produce higher power for shading profiles, in which all of the array modules experience different levels of irradiance, but the first column has lower levels; while, TCT arrays produce higher power for shading profiles, such short narrow, short wide, or diagonal with irradiance variations from 1000 W/m 2 to 400 W/m 2 [22]. However, according to [23] for combinations of different shading cases such short and long wide at irradiance levels from 200 W/m 2 to 900 W/m 2 , Su-Do-Ku configuration exhibits the best performance when compared to SP and TCT.…”

Section: Mismatching Conditions and Internal Connections In Pv Arraysmentioning

confidence: 99%

“…Vno ) are organized in the same order of V Vo , then the search range of the node voltages is defined, as given in (22), where e 1 • • • e N n are the sub-array node voltages (excluding both top and bottom nodes), named with the same order used in the previous section, i.e., from top to bottom and from left to right.…”

Section: K) Taking Into Account That the Vectors Of The Node Inflection Voltages ( V Kmentioning

confidence: 99%

Mathematical Model for Regular and Irregular PV Arrays with Improved Calculation Speed

2020

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Photovoltaic (PV) systems are usually developed by configuring the PV arrays with regular connection schemes, such as series-parallel, total cross-tied, bridge-linked, among others. Such a strategy is aimed at increasing the power that is generated by the PV system under partial shading conditions, since the power production changes depending on the connection scheme. Moreover, irregular and non-common connection schemes could provide higher power production for irregular (but realistic) shading conditions that aere caused by threes or other objects. However, there are few mathematical models that are able to predict the power production of different configurations and reproduce the behavior of both regular and irregular PV arrays. Those general array models are slow due to the large amount of computations that are needed to find the PV current for a given PV voltage. Therefore, this paper proposes a general mathematical model to predict the power production of regular and irregular PV arrays, which provides a faster calculation in comparison with the general models that were reported in the literature, but without reducing the prediction accuracy. The proposed modeling approach is based on detecting the inflection points that are caused by the bypass diodes activation, which enables to narrow the range in which the modules voltages are searched, thus reducing the calculation time. Therefore, this fast model is useful in designing the fixed connections of PV arrays that are subjected to shading conditions, in order to reconfigure the PV array in real-time, depending on the shading pattern, among other applications. The proposed solution is validated by comparing the results with another general model and with a circuital implementation of the PV system.

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“…It was shown that the power loss in series-connected PV modules under mismatching was able to be mitigated with anti-parallel bypass diodes [22], [23]. Furthermore, there was a greater effect seen by the parallel configuration under mismatching [18], [24], [25]. There is a clear need for an optimal power conditioning system together with a suitable DC-DC converter when it comes to controlling a high current output at a low voltage level in parallel interconnection schemes [26], [27], [28].…”

Section: Introductionmentioning

confidence: 99%

An Experimental Investigation on Output Power Enhancement With Offline Reconfiguration for Non-Uniform Aging Photovoltaic Array to Maximise Economic Benefit

Alkahtani

Zhou

et al. 2021

IEEE Access

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There are several non-uniform effects on photovoltaic (PV) modules related to aging in a PV array. These subsequently bring about non-uniform operating parameters with individual PV modules, causing a variance in the PV array performance. The current study undertakes an indoor experimental study to establish and positively affect the efficacy of a non-uniform aged 2 × 4 PV array, with a commercially available small panel module of 0.36W (monocrystalline). This paper proposes a gene evolution algorithm (GEA) for offline reconfiguration that can provide more significant output power compared to nonuniformly aged PV arrays through repositioning instead of replacing aged PV modules, which will help lower maintenance expenses. This reconfiguration requires data input from the PV module's electrical properties in order to select ideal reconfiguration setups. The outcomes show that greater output power can be facilitated through a non-uniformly aged PV array and used on many different PV array sizes.

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Analysis of partial shading effect on energy output of different solar PV array configurations

Cited by 31 publications

References 10 publications

Accuracy investigation in the modeling of partially shaded photovoltaic systems

Accuracy investigation in the modeling of partially shaded photovoltaic systems

Mathematical Model for Regular and Irregular PV Arrays with Improved Calculation Speed

An Experimental Investigation on Output Power Enhancement With Offline Reconfiguration for Non-Uniform Aging Photovoltaic Array to Maximise Economic Benefit

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