A Review of Photovoltaic DC Systems Prognostics and Health Management: Challenges and Opportunities

Author:

Chokor Abbas,El Asmar Mounir,Lokanath Sumanth V.

Abstract

The surge in renewable electricity generation using photovoltaic (PV) systems was accompanied by an increased awareness of the fault conditions developing during the operational lifetime. Fault detection, diagnostics, and prognostics are such efforts to detect and classify a fault so the system operational expectations can be managed. Trending of the faults and prognostics also aid to evaluate expected remaining useful life so that mitigation actions can be evaluated and implemented. This paper aims to review the state of the art and practice of prognostics and health management (PHM) for the DC side of PV systems. Following a review of the PV industry current status, the study describes and classifies the different failure modes. Next, it summarizes the PV faults detection, diagnostics and prognostics approaches. A review of the PHM applications for PV systems paves the way to emphasize the key research gaps and challenges in the current practice. The available opportunities are also highlighted through a comprehensive understanding of the PV systems current performance, from where scholars and decision makers can integrate improvement strategies with promising directions for future research and practices.

Publisher

PHM Society

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Prognostics and health management of photovoltaic systems based on deep learning: A state-of-the-art review and future perspectives;Renewable and Sustainable Energy Reviews;2024-11

2. Contextual Approaches to Data-Driven Fault Detection in Solar Photovoltaic System;2024 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS);2024-05-23

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