EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 372 (2026) EPJ Web Conf., 372 (2026) 07011 References
Open Access
Issue
EPJ Web Conf.
Volume 372, 2026
Advanced Power Systems (APS 2026)
Article Number 07011
Number of page(s) 6
Section Power and Energy Systems
DOI https://doi.org/10.1051/epjconf/202637207011
Published online 11 June 2026
  1. https://www.investenergy.ro/date-anre-in-romania-sunt-203-894-prosumatori-cu-o-putere-instalata-de-244159-mw-afm-pregateste-un-program-pentru-baterii-de-stocare-cu-un-buget-de-400-milioane-lei/ [last accessed in January 2026] [Google Scholar]
  2. R. Dhakal, K. Buch, W. Li, and C. Fox, Solar PV Inverter Retrofitting: Enhancing Reliability Through Predictive Maintenance, in Proceedings of 2024 IEEE 52nd Photovoltaic Specialist Conference (PVSC), Seattle, WA, USA,( 2024), pp. 0295-0300. https://doi.org/10.1109/PVSC57443.2024.10749626 [Google Scholar]
  3. P. Hacke et al., A status review of photovoltaic power conversion equipment reliability, safety, and quality assurance protocols, Renew. and Sust. Energy Rev. 82, 1097–1112, (2018). https://doi.org/10.1016/J.RSER.2017.07.043 [Google Scholar]
  4. A. Golnas, PV system reliability: An operator’s perspective, in Proceedings of Conference Record of the IEEE Photovoltaic Specialists Conference, no. PART 2, ( 2012). https://doi.org/10.1109/PVSC-VOL2.2012.6656744 [Google Scholar]
  5. T. Gunda et al., A Machine Learning Evaluation of Maintenance Records for Common Failure Modes in PV Inverters, IEEE Access. 8, 211610–211620, (2020). https://doi.org/10.1109/ACCESS.2020.3039182 [Google Scholar]
  6. D. Li et al., An Inverter-Based Flexible Microgrid Grounding Scheme, IEEE Trans. on Power Electr. 39, 8, 10189–10203, (2024). https://doi.org/10.1109/TPEL.2024.3395614 [Google Scholar]
  7. Y. Zhang, B. Li, Y. Du, Y. Ding, J. Cao and J. Lv, Effective Grounding of the Photovoltaic Power Plant Protected by Lightning Rods, IEEE Trans. on Electromagn. Compat. 63, 4, 1128–1136 (2021). https://doi.org/10.1109/TEMC.2021.3050179 [Google Scholar]
  8. Cheng Lin, Wang Sen, Li Zhizhong, Wang Jing, Zhang Bo and Shi Weidong, Design of grounding system for wind-photovoltaic-energy storage Hybrid power station, in Proceedings of 2014 ICHVE International Conference on High Voltage Engineering and Application, Poznan, 1-5, (2014). https://doi.org/10.1109/ICHVE.2014.7035509 [Google Scholar]
  9. He Jinliang, Zeng Rong, Grounding Technology of power system. (Science and technology publishing house. Bei Jing, 2007) [Google Scholar]
  10. W. Xiong and F. Dawalibi. Transient Performance of Substation Grounding Systems Subjected to Lightning and Similar Surge Currents. IEEE Trans. on Power Del. 9(3), 1412–1420, (1992) [Google Scholar]
  11. A. M. Ahmed, L. Li, and K. Khalilpour, Predictive Maintenance of Solar Photovoltaic Systems: A Comprehensive Review. IET Renew. Power Gen. 19, no. 1 e70152, (2025). https://doi.org/10.1049/rpg2.70152 [Google Scholar]
  12. H. Abdulla, A. Sleptchenko, and A. Nayfeh, Photovoltaic Systems, Operation and Maintenance: A Review and Future Directions, Renew. and Sust. Energy Rev. 195, 114342, (2024) https://doi.org/10.1016/j.rser.2024.114342 [Google Scholar]
  13. S. Singh, R. K. Saket, and B. Khan, A Comprehensive Review of Reliability Assessment Methodologies for Grid-Connected Photovoltaic Systems, IET Renew. Power Gen. 17, 1859–1880, (2023).https://doi.org/10.1049/rpg2.12714 [Google Scholar]
  14. A. Livera, M. Theristis, A. Charalambous, J. S. Stein and G. E. Georghiou, Decision support system for corrective maintenance in large-scale photovoltaic systems, in Proceedings of 2021 IEEE 48th Photovoltaic Specialists Conference (PVSC), Fort Lauderdale, FL, USA. 0306-0311, (2021). https://doi.org/10.1109/PVSC43889.2021.9518796 [Google Scholar]
  15. A. Livera,M. Theristis, L. Micheli, E. F. Fernandez, J. S. Stein, and G. E. Georghiou, Operation and Maintenance Decision Support System for Photovoltaic Systems, IEEE Access, 10, 42481–42496, (2022). https://doi.org/10.1109/ACCESS.2022.3168140 [Google Scholar]
  16. C. -l. Hao, T. Xie, Z. -w. Wang, Q. Li, Y. Yang and G. Cheng, The PV Inverter Main Circuit Fault Detection Based on Wavelet Packet Energy Analysis Technology, in Proceedings of 2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2), Taiyuan, China, 1813-1818, (2021). https://doi.org/10.1109/EI252483.2021.9713027 [Google Scholar]
  17. W. Li, R. Dhakal, D. Fregosi, C. Fox and M. Bolen, Enhancing Inverter Reliability: Current Status and Paths to Predictive Maintenance, in Proceedings of 2023 IEEE 50th Photovoltaic Specialists Conference (PVSC), San Juan, PR, USA, 1-6, (2023). https://doi.org/10.1109/PVSC48320.2023.10359723 [Google Scholar]
  18. Quality and Reliability Assessment of Select Photovoltaic Inverters. EPRI, Palo Alto, CA: 2012. 1024366, 2012 [Google Scholar]
  19. T. Gunda et al., A Machine Learning Evaluation of Maintenance Records for Common Failure Modes in PV Inverters, IEEE Access 8, 211610–211620, (2020). https://doi.org/10.1109/ACCESS.2020.3039182 [Google Scholar]
  20. S.V. Popescu, C. Ghita, A.-S. Deaconu, A.-I. Chirila, I.-D. Deaconu, Specific Symptoms of Single-Phase Inverters Faults that are Required for an Expert System Design, U.P.B. Sci. Bull., Series C. 78, 1, (2016) [Google Scholar]
  21. W. Chen, A Rule-based Expert System for Predictive Maintenance of a Hybrid Bus, Thesis, Department of Electrical Engineering and Computer Science, Faculty of Systems Science, University of Ottawa, Canada, (2020) [Google Scholar]
  22. B. Ioshchikhes, R. Zink, O. Ozen, M.Weigold. A Holistic Framework for Developing Expert Systems to Improve Energy Efficiency in Manufacturing. Energies 18, 1406, (2025). https://doi.org/10.3390/en18061406 [Google Scholar]
  23. ***Sungrow inverter error codes and troubleshooting guide, https://solarwide.com.au/knowledge/sungrow-inverter-error-codes-troubleshooting-guide/ (last time accessed January 2026) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.