PHOTOVOLTAIC ARRAY HOT SPOT DIAGNOSIS METHOD BASED ONOUTPUT TIME SERIES WAVEFORM FEATURES

Gu Xinlei; Gu Zhiwei; Wei Dong; Zhou Guangle; Guo Qian

doi:10.19912/j.0254-0096.tynxb.2022-0789

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Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (9) : 125-133. DOI: 10.19912/j.0254-0096.tynxb.2022-0789

PHOTOVOLTAIC ARRAY HOT SPOT DIAGNOSIS METHOD BASED ONOUTPUT TIME SERIES WAVEFORM FEATURES

Gu Xinlei¹, Gu Zhiwei², Wei Dong¹, Zhou Guangle², Guo Qian¹

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Abstract

Based on the electrical data resources of the direct current （DC） side of the photovoltaic power generation system on the FusionSolar platform, this paper studies the influence of hot spot faults on the output characteristics of photovoltaic arrays, proposes a hot spot fault diagnosis method based on the waveform characteristics of time series. By analyzing the generation and evolution mechanism of hot spots, as well as the characteristic differences between hot spots and other types of faults in I-V curves and time series, the waveform variation rule of hot spots in current and voltage time series was obtained; At same time, the function of hot spot fault characterized the waveform feature of time series diagram is constructed and the fault diagnosis feature vector is also extracted; Combined with the field operation and maintenance experience, a fuzzy inference fault diagnosis system was established to confirm the reason and estimate the degree of hot spot faults. The experimental results show that the hot spot fault has a unique and corresponding variation relation in the current/voltage time series diagram, the function can clearly characterize the waveform variation rule, and the fuzzy inference system can realize the effective and reliable diagnosis of hot spot fault.

Key words

photovoltaic group strings / fault diagnosis / time series / fuzzy inference / hot pot

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Gu Xinlei, Gu Zhiwei, Wei Dong, Zhou Guangle, Guo Qian. PHOTOVOLTAIC ARRAY HOT SPOT DIAGNOSIS METHOD BASED ONOUTPUT TIME SERIES WAVEFORM FEATURES[J]. Acta Energiae Solaris Sinica. 2023, 44(9): 125-133 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0789

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