Detection, location, and diagnosis of different faults in large solar PV system-a review

Venkatakrishnan G., Rengaraj R., Tamilselvi S., Harshini J., Sahoo A., Saleel C., ...Daha Fazla

INTERNATIONAL JOURNAL OF LOW-CARBON TECHNOLOGIES, cilt.18, ss.659-674, 2023 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 18
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1093/ijlct/ctad018
  • Dergi Adı: INTERNATIONAL JOURNAL OF LOW-CARBON TECHNOLOGIES
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Applied Science & Technology Source, CAB Abstracts, Compendex, Computer & Applied Sciences, Greenfile, INSPEC, Directory of Open Access Journals
  • Sayfa Sayıları: ss.659-674
  • Anahtar Kelimeler: diagnosis techniques, different fault, PV system
  • Recep Tayyip Erdoğan Üniversitesi Adresli: Evet

Özet

Over the past decade, the significance of solar photovoltaic (PV) system has played a major role due to the rapid growth in the solar PV industry. Reliability, efficiency and safety of solar PV systems can be enhanced by continuous monitoring of the system and detecting the faults if any as early as possible. Reduced real time power generation and reduced life span of the solar PV system are the results if the fault in solar PV system is found undetected. Therefore, it is mandatory to identify and locate the type of fault occurring in a solar PV system. The faults occurring in the solar PV system are classified as follows: physical, environmental, and electrical faults that are further classified into different types as described in this paper. Once a fault is located and detected, an appropriate diagnosis method needs to be used to rectify it. In this paper, a comprehensive review of diverse fault diagnosis techniques reported in various literature is listed and described. This paper helps the researchers to get an awareness of the various faults occurring in a solar PV system and enables them to choose a suitable diagnosis technique based on its performance metrics to rectify the fault occurring in solar PV systems.