2021
DOI: 10.1155/2021/9956433
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A Novel Experimental and Approach of Diagnosis, Partial Shading, and Fault Detection for Domestic Purposes Photovoltaic System Using Data Exchange of Adjacent Panels

Abstract: This paper presents a new detection method of fault and partial shading condition (PSC) in a photovoltaic (PV) domestic network, considering maximum power point tracking (MPPT). The MPPT has been executed by employing a boost converter using particle swarm optimization (PSO) technique. The system is composed of two photovoltaic arrays. Each PV array contains three panels connected in series, including distinct MPPT. The PSC detection exploits the neighboring PV system data. This suggested innovative algorithm … Show more

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Cited by 7 publications
(1 citation statement)
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References 34 publications
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“…Assuming a 15 minutes runtime of the MPPT algorithm and the worst-case scenario (partial shade at the beginning), two energy exploitation scenarios in algorithm runtime and shade detection using the presented algorithm [73] are fully clarifed in the following: Scenario #1: As shown in Figure 18, the partial shade reduces power from 249.85 to a constant 158.2 W until the next MPPT period. With a maximum power of 166.5 W, assuming 1 minute partial shade detection time by the proposed algorithm, the additional energy received for each partial shade is as follows:…”
Section: Energy Analysismentioning
confidence: 99%
“…Assuming a 15 minutes runtime of the MPPT algorithm and the worst-case scenario (partial shade at the beginning), two energy exploitation scenarios in algorithm runtime and shade detection using the presented algorithm [73] are fully clarifed in the following: Scenario #1: As shown in Figure 18, the partial shade reduces power from 249.85 to a constant 158.2 W until the next MPPT period. With a maximum power of 166.5 W, assuming 1 minute partial shade detection time by the proposed algorithm, the additional energy received for each partial shade is as follows:…”
Section: Energy Analysismentioning
confidence: 99%