Detecting harmful overcurrents in PV arrays at shadow condition through binary coding method

Ziar, Hesan; Mansourpour, S.; Afjei, E.

doi:10.1109/pedstc.2012.6183335

Cited by 5 publications

(3 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As per the P&O method, the initial tracking voltage was near the point at the valley area where the GMPP was located, so the GMPP could be tracked smoothly but more iterations are needed. Figure 14 shows the P-V characteristic curve of the photovoltaic module array under the intensity of insolation as 639 W/m 2 , wherein double-peak values were presented while one module with snail trails [19,20] and the real MPP P mp was 133.59 W. From the simulation results of the three tracking methods in Figure 15, it was observed that both the improved and traditional ABC algorithms could track the GMPP (P mp = 133.5 W), as could the P&O method with the initial tracking voltage as 58.176 V. However, the I-ABC algorithm still performed best in the tracking response among the three methods. ----'-----'-----'----'-----'----L-----'-----'-----'--- In this paper, the traditional ABC and the I-ABC were applied to perform 50 MPPT tests for the selected five cases, respectively.…”

Section: Simulation Resultsmentioning

confidence: 99%

Global Maximum Power Point Tracking of Photovoltaic Module Arrays Based on Improved Artificial Bee Colony Algorithm

Chao

2022

Electronics

View full text Add to dashboard Cite

In this paper, an improved artificial bee colony (I-ABC) algorithm for the maximum power point tracking (MPPT) of a photovoltaic module array (PVMA) is presented. Even though the P-V output characteristic curve with multi-peak was generated due to any damages or shading discovered on the PVMA, the I-ABC algorithm could get rid of stuck on tracking the local maximum power point (LMPP), but quickly and stably track the global maximum power point (GMPP), thereby improving the power generation efficiency. This proposed I-ABC algorithm could search for the higher power point of a PVMA by a small bee colony, determine the next tracking direction through the perturb and observe (P&O) method, and keep tracking until the GMPP is obtained. This method could prevent tracking the GMPP for too long due to applying a small bee colony. First, in this study, the photovoltaic modules produced by Sunworld Co., Ltd. were used and were configured as a PVMA with four series and three parallel connections under different numbers of shaded modules and different shading ratios, so that corresponding P-V output characteristic curves with multi-peak values were generated. Then, the GMPP was tracked by the proposed MPPT method. The simulation and experimental results showed that the proposed method performed better both in dynamic response and steady-state performance than the traditional artificial bee colony (ABC) algorithm. According to the experimental results, it showed that the tracking accuracy for the GMPP based on the proposed MPPT with 100 iterations under 5 different shading ratios was about 100%; on the other hand, that of the traditional ABC algorithm was 70%, and that of the P&O method was lower at about 30%.

show abstract

Section: Simulation Resultsmentioning

confidence: 99%

Global Maximum Power Point Tracking of Photovoltaic Module Arrays Based on Improved Artificial Bee Colony Algorithm

Chao

2022

Electronics

View full text Add to dashboard Cite

show abstract

“…They revealed that the TCT configuration has higher efficiency (92.16%) than the SP configuration (85.21%). Ziar et al [52] studied the electrical properties of a bypass diode and a PVA at various temperatures and found that the open-circuit voltage value is low at high temperatures. The effects of shadings may be simply estimated with the assistance of a newer PV model, according to.…”

Section: Photovoltaic Module Interconnectionsmentioning

confidence: 99%

Static and Dynamic Reconfiguration Strategies for Reducing Partial Shading Effects in Photovoltaic Array: A Comprehensive Review

Anjum

Mukherjee²

2022

Energy Tech

View full text Add to dashboard Cite

The output power generated by a photovoltaic (PV) cell decreases remarkably because of the irregular irradiance pattern. Thus, the overall system performance is degraded. The decrease in the power output is not dependent on the shaded area but is rather dependent on the array configuration and the shading pattern. To eliminate partial shadings, many strategies have been documented in the state‐of‐the‐art literature. These strategies may not improve the maximum output power to the required level but definitely do so to a certain extent. Thus, to minimize these losses, a promising reconfiguration approach is needed, i.e., reconfiguring the PV modules inside the PV array to improve the maximum power output. These techniques are broadly divided into two categories, viz., static and dynamic reconfiguration methods. The advanced PV array reconfiguration solutions to improve global power output under mismatch and partial shading scenarios are presented in this article. According to the results of the review article studied in this research, dynamic approaches are costlier as compared to static reconfiguration strategies, but are more effective to reduce the partial shading impact in comparison to the static techniques.

show abstract

“…The partial shading is considered among the most severe faults because of the harmful effect that can produce on the PV modules [15,16] . Various methods have been investigated for the detection of this fault, these methods are often based on the analysis of electrical [17,18] and non-electrical parameters [19,20] .…”

Section: Introductionmentioning

confidence: 99%

Artificial neural network-based modelling and fault detection of partial shaded photovoltaic modules

Mekki

Mellit

Salhi

2016

Simulation Modelling Practice and Theory

182

View full text Add to dashboard Cite

Detecting harmful overcurrents in PV arrays at shadow condition through binary coding method

Cited by 5 publications

References 11 publications

Global Maximum Power Point Tracking of Photovoltaic Module Arrays Based on Improved Artificial Bee Colony Algorithm

Global Maximum Power Point Tracking of Photovoltaic Module Arrays Based on Improved Artificial Bee Colony Algorithm

Static and Dynamic Reconfiguration Strategies for Reducing Partial Shading Effects in Photovoltaic Array: A Comprehensive Review

Artificial neural network-based modelling and fault detection of partial shaded photovoltaic modules

Contact Info

Product

Resources

About