Health status evaluation of photovoltaic array based on deep belief network and Hausdorff distance

Kun Ding, Xiang Chen, Shuai Weng, Yongjie Liu, Jingwei Zhang, Yuanliang Li and Zenan Yang

Energy, 2023, vol. 262, issue PB

Abstract: Photovoltaic (PV) arrays, as the core part of PV plants, are sensitive to the complex environment that can lead to fluctuations in their power generation performance. The health status evaluation (HSE) of PV arrays is beneficial for routine maintenance and economic value evaluation. In this paper, a method for evaluating the health status of PV array based on deep belief network (DBN) and Hausdorff distance (HD) is proposed. First, the I–V curves of the PV array are preprocessed, including curve filtering and points redistribution. Then, the practical features of I–V characteristics are extracted by DBN. Next, the health indicator (HI) of the PV array is constructed by HD and Logistic function. Finally, the triangular fuzzy membership function is used to build the mapping relationship between the HI values and the health grades of the PV array. The proposed method enables fully extracting the features from the I–V characteristics of PV arrays and gives an accurate evaluation of different states of PV arrays. The experimental results show that the proposed HSE method can realize the expected objectives.

Keywords: Photovoltaic array; I–V characteristics; Features extraction; Hausdorff distance; Health indicator; Health status evaluation (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:262:y:2023:i:pb:s0360544222024252

DOI: 10.1016/j.energy.2022.125539

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