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A Density Peak-Based Clustering Approach for Fault Diagnosis of Photovoltaic Arrays
Joint Authors
Cheng, Shuying
Lin, Peijie
Chen, Zhicong
Lin, Yaohai
Wu, Lijun
Chen, Lingchen
Source
International Journal of Photoenergy
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-28
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Fault diagnosis of photovoltaic (PV) arrays plays a significant role in safe and reliable operation of PV systems.
In this paper, the distribution of the PV systems’ daily operating data under different operating conditions is analyzed.
The results show that the data distribution features significant nonspherical clustering, the cluster center has a relatively large distance from any points with a higher local density, and the cluster number cannot be predetermined.
Based on these features, a density peak-based clustering approach is then proposed to automatically cluster the PV data.
And then, a set of labeled data with various conditions are employed to compute the minimum distance vector between each cluster and the reference data.
According to the distance vector, the clusters can be identified and categorized into various conditions and/or faults.
Simulation results demonstrate the feasibility of the proposed method in the diagnosis of certain faults occurring in a PV array.
Moreover, a 1.8 kW grid-connected PV system with 6×3 PV array is established and experimentally tested to investigate the performance of the developed method.
American Psychological Association (APA)
Lin, Peijie& Lin, Yaohai& Chen, Zhicong& Wu, Lijun& Chen, Lingchen& Cheng, Shuying. 2017. A Density Peak-Based Clustering Approach for Fault Diagnosis of Photovoltaic Arrays. International Journal of Photoenergy،Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1168264
Modern Language Association (MLA)
Lin, Peijie…[et al.]. A Density Peak-Based Clustering Approach for Fault Diagnosis of Photovoltaic Arrays. International Journal of Photoenergy No. 2017 (2017), pp.1-14.
https://search.emarefa.net/detail/BIM-1168264
American Medical Association (AMA)
Lin, Peijie& Lin, Yaohai& Chen, Zhicong& Wu, Lijun& Chen, Lingchen& Cheng, Shuying. A Density Peak-Based Clustering Approach for Fault Diagnosis of Photovoltaic Arrays. International Journal of Photoenergy. 2017. Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1168264
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1168264