IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v158y2022ics1364032122000533.html
   My bibliography  Save this article

Faults and Fault Ride Through strategies for grid-connected photovoltaic system: A comprehensive review

Author

Listed:
  • Zeb, Kamran
  • Islam, Saif Ul
  • Khan, Imran
  • Uddin, Waqar
  • Ishfaq, M.
  • Curi Busarello, Tiago Davi
  • Muyeen, S.M.
  • Ahmad, Iftikhar
  • Kim, H.J.

Abstract

With the exponential penetration of Photovoltaic (PV) plants into the power grid, protection has gained exceptional importance in recent years for ensuring stability, reliability, security, and power quality of the power systems. Thus, to address these issues many countries have established new requirements in the form of grid codes for grid connection of PV plants. One of the main requirements of grid codes is Fault Ride Through (FRT) capability. FRT describes the power generator performance during and in post-fault circumstances. In this paper, an in-depth review is carried out on various scientific aspects of faults and FRT strategies available in the literature. First, various faults occurring in the grid-connected PV system are classified and compared along with a critical and analytical assessment of grid codes especially FRT requirements i.e., Low Voltage Ride Through (LVRT) and High Voltage Ride Through (HVRT) for various countries. Then, FRT approaches and strategies are classified and compared based on improved controller-based methods and external devices methods in detail. The existing FRT strategies are compared based on various aspects i.e., complexity, economically, and technically. After that, a case study that explains the complete design and implementation of conventional Crowbar, Bridge Type Fault Current Limiter (BFCL), and Switch Type Fault Current Limiter (STFCL) as an FRT strategies for 100 kW three-phase grid-connected PV system in MATLAB/Simulink is presented. A comparative assessment is also carried out among these strategies that validate the robust performance of BFCL and STFCL. Lastly, the conclusion is presented along with a brief proposal for future work.

Suggested Citation

  • Zeb, Kamran & Islam, Saif Ul & Khan, Imran & Uddin, Waqar & Ishfaq, M. & Curi Busarello, Tiago Davi & Muyeen, S.M. & Ahmad, Iftikhar & Kim, H.J., 2022. "Faults and Fault Ride Through strategies for grid-connected photovoltaic system: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    • Handle: RePEc:eee:rensus:v:158:y:2022:i:c:s1364032122000533
    DOI: 10.1016/j.rser.2022.112125
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032122000533
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.rser.2022.112125?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Mellit, A. & Tina, G.M. & Kalogirou, S.A., 2018. "Fault detection and diagnosis methods for photovoltaic systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 1-17.
    2. Oon, Kheng Heong & Tan, ChiaKwang & Bakar, A.H.A. & Che, Hang Seng & Mokhlis, H. & Illias, H.A., 2018. "Establishment of fault current characteristics for solar photovoltaic generator considering low voltage ride through and reactive current injection requirement," Renewable and Sustainable Energy Reviews, Elsevier, vol. 92(C), pages 478-488.
    3. Triki-Lahiani, Asma & Bennani-Ben Abdelghani, Afef & Slama-Belkhodja, Ilhem, 2018. "Fault detection and monitoring systems for photovoltaic installations: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2680-2692.
    4. Ou, Ting-Chia & Hong, Chih-Ming, 2014. "Dynamic operation and control of microgrid hybrid power systems," Energy, Elsevier, vol. 66(C), pages 314-323.
    5. Xing Luo & Jihong Wang & Jacek D. Wojcik & Jianguo Wang & Decai Li & Mihai Draganescu & Yaowang Li & Shihong Miao, 2018. "Review of Voltage and Frequency Grid Code Specifications for Electrical Energy Storage Applications," Energies, MDPI, vol. 11(5), pages 1-26, April.
    6. Zeb, Kamran & Uddin, Waqar & Khan, Muhammad Adil & Ali, Zunaib & Ali, Muhammad Umair & Christofides, Nicholas & Kim, H.J., 2018. "A comprehensive review on inverter topologies and control strategies for grid connected photovoltaic system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 1120-1141.
    7. Kamran Zeb & Imran Khan & Waqar Uddin & Muhammad Adil Khan & P. Sathishkumar & Tiago Davi Curi Busarello & Iftikhar Ahmad & H. J. Kim, 2018. "A Review on Recent Advances and Future Trends of Transformerless Inverter Structures for Single-Phase Grid-Connected Photovoltaic Systems," Energies, MDPI, vol. 11(8), pages 1-34, July.
    8. Ram, J. Prasanth & Babu, T. Sudhakar & Rajasekar, N., 2017. "A comprehensive review on solar PV maximum power point tracking techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 826-847.
    9. Ting-Chia Ou & Kai-Hung Lu & Chiou-Jye Huang, 2017. "Improvement of Transient Stability in a Hybrid Power Multi-System Using a Designed NIDC (Novel Intelligent Damping Controller)," Energies, MDPI, vol. 10(4), pages 1-16, April.
    10. Saad, Naggar H. & El-Sattar, Ahmed A. & Mansour, Abd El-Aziz M., 2016. "Improved particle swarm optimization for photovoltaic system connected to the grid with low voltage ride through capability," Renewable Energy, Elsevier, vol. 85(C), pages 181-194.
    11. Zhu, Xuan & Han, Xiao-qing & Qin, Wen-ping & Wang, Peng, 2015. "Past, today and future development of micro-grids in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 1453-1463.
    12. Pillai, Dhanup S. & Rajasekar, N., 2018. "A comprehensive review on protection challenges and fault diagnosis in PV systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 18-40.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Li, Baojie & Hansen, Clifford W. & Chen, Xin & Diallo, Demba & Migan-Dubois, Anne & Delpha, Claude & Jain, Anubhav, 2024. "A robust I–V curve correction procedure for degraded photovoltaic modules," Renewable Energy, Elsevier, vol. 224(C).
    2. Li, Chao & Wu, Qi & Xin, Ying & Li, Bin, 2024. "Enhancing low voltage ride-through capability of grid-connected photovoltaic plants using superconducting fault current limiters," Renewable Energy, Elsevier, vol. 231(C).
    3. Saif Ul Islam & Kamran Zeb & Soobae Kim, 2022. "Design of Robust Fuzzy Logic Controller Based on Gradient Descent Algorithm with Parallel-Resonance Type Fault Current Limiter for Grid-Tied PV System," Sustainability, MDPI, vol. 14(19), pages 1-20, September.
    4. Arturo Y. Jaen-Cuellar & David A. Elvira-Ortiz & Roque A. Osornio-Rios & Jose A. Antonino-Daviu, 2022. "Advances in Fault Condition Monitoring for Solar Photovoltaic and Wind Turbine Energy Generation: A Review," Energies, MDPI, vol. 15(15), pages 1-36, July.
    5. Aya M. Moheb & Enas A. El-Hay & Attia A. El-Fergany, 2022. "Comprehensive Review on Fault Ride-Through Requirements of Renewable Hybrid Microgrids," Energies, MDPI, vol. 15(18), pages 1-30, September.
    6. Gao, Fang & Hu, Rongzhao & Yin, Linfei, 2023. "Variable boundary reinforcement learning for maximum power point tracking of photovoltaic grid-connected systems," Energy, Elsevier, vol. 264(C).
    7. Maciej Neugebauer & Adam Żebrowski & Ogulcan Esmer, 2022. "Cumulative Emissions of CO 2 for Electric and Combustion Cars: A Case Study on Specific Models," Energies, MDPI, vol. 15(7), pages 1-17, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nien-Che Yang & Harun Ismail, 2022. "Voting-Based Ensemble Learning Algorithm for Fault Detection in Photovoltaic Systems under Different Weather Conditions," Mathematics, MDPI, vol. 10(2), pages 1-18, January.
    2. Rouani, Lahcene & Harkat, Mohamed Faouzi & Kouadri, Abdelmalek & Mekhilef, Saad, 2021. "Shading fault detection in a grid-connected PV system using vertices principal component analysis," Renewable Energy, Elsevier, vol. 164(C), pages 1527-1539.
    3. Pengfei Wang & Jialiang Yi & Mansoureh Zangiabadi & Pádraig Lyons & Phil Taylor, 2017. "Evaluation of Voltage Control Approaches for Future Smart Distribution Networks," Energies, MDPI, vol. 10(8), pages 1-17, August.
    4. Yongsheng Cao & Guanglin Zhang & Demin Li & Lin Wang & Zongpeng Li, 2018. "Online Energy Management and Heterogeneous Task Scheduling for Smart Communities with Residential Cogeneration and Renewable Energy," Energies, MDPI, vol. 11(8), pages 1-20, August.
    5. Thai-Thanh Nguyen & Hyeong-Jun Yoo & Hak-Man Kim & Huy Nguyen-Duc, 2018. "Direct Phase Angle and Voltage Amplitude Model Predictive Control of a Power Converter for Microgrid Applications," Energies, MDPI, vol. 11(9), pages 1-21, August.
    6. Li, Yuanliang & Ding, Kun & Zhang, Jingwei & Chen, Fudong & Chen, Xiang & Wu, Jiabing, 2019. "A fault diagnosis method for photovoltaic arrays based on fault parameters identification," Renewable Energy, Elsevier, vol. 143(C), pages 52-63.
    7. Jinming Jiang & Xindong Wei & Weijun Gao & Soichiro Kuroki & Zhonghui Liu, 2018. "Reliability and Maintenance Prioritization Analysis of Combined Cooling, Heating and Power Systems," Energies, MDPI, vol. 11(6), pages 1-24, June.
    8. Hongyue Li & Xihuai Wang & Jianmei Xiao, 2018. "Differential Evolution-Based Load Frequency Robust Control for Micro-Grids with Energy Storage Systems," Energies, MDPI, vol. 11(7), pages 1-19, June.
    9. Il-Seok Choi & Akhtar Hussain & Van-Hai Bui & Hak-Man Kim, 2018. "A Multi-Agent System-Based Approach for Optimal Operation of Building Microgrids with Rooftop Greenhouse," Energies, MDPI, vol. 11(7), pages 1-24, July.
    10. Chen, J.J. & Zhao, Y.L. & Peng, K. & Wu, P.Z., 2017. "Optimal trade-off planning for wind-solar power day-ahead scheduling under uncertainties," Energy, Elsevier, vol. 141(C), pages 1969-1981.
    11. Bakdi, Azzeddine & Bounoua, Wahiba & Mekhilef, Saad & Halabi, Laith M., 2019. "Nonparametric Kullback-divergence-PCA for intelligent mismatch detection and power quality monitoring in grid-connected rooftop PV," Energy, Elsevier, vol. 189(C).
    12. Kamran Zeb & Tiago Davi Curi Busarello & Saif Ul Islam & Waqar Uddin & Kummara Venkata Guru Raghavendra & Muhammad Adil Khan & Hee-Je Kim, 2020. "Design of Super Twisting Sliding Mode Controller for a Three-Phase Grid-connected Photovoltaic System under Normal and Abnormal Conditions," Energies, MDPI, vol. 13(15), pages 1-21, July.
    13. Alexis B. Rey-Boué & N. F. Guerrero-Rodríguez & Johannes Stöckl & Thomas I. Strasser, 2019. "Modeling and Design of the Vector Control for a Three-Phase Single-Stage Grid-Connected PV System with LVRT Capability according to the Spanish Grid Code," Energies, MDPI, vol. 12(15), pages 1-28, July.
    14. Chen, Zhicong & Yu, Hui & Luo, Linlu & Wu, Lijun & Zheng, Qiao & Wu, Zhenhui & Cheng, Shuying & Lin, Peijie, 2021. "Rapid and accurate modeling of PV modules based on extreme learning machine and large datasets of I-V curves," Applied Energy, Elsevier, vol. 292(C).
    15. Van Gompel, Jonas & Spina, Domenico & Develder, Chris, 2023. "Cost-effective fault diagnosis of nearby photovoltaic systems using graph neural networks," Energy, Elsevier, vol. 266(C).
    16. Alenka Hren & Franc Mihalič, 2018. "An Improved SPWM-Based Control with Over-Modulation Strategy of the Third Harmonic Elimination for a Single-Phase Inverter," Energies, MDPI, vol. 11(4), pages 1-20, April.
    17. Geng, Zhiqiang & Li, Yanan & Han, Yongming & Zhu, Qunxiong, 2018. "A novel self-organizing cosine similarity learning network: An application to production prediction of petrochemical systems," Energy, Elsevier, vol. 142(C), pages 400-410.
    18. Gao, Zhikun & Yu, Junqi & Zhao, Anjun & Hu, Qun & Yang, Siyuan, 2022. "A hybrid method of cooling load forecasting for large commercial building based on extreme learning machine," Energy, Elsevier, vol. 238(PC).
    19. Zhi Wu & Xiao Du & Wei Gu & Ping Ling & Jinsong Liu & Chen Fang, 2018. "Optimal Micro-PMU Placement Using Mutual Information Theory in Distribution Networks," Energies, MDPI, vol. 11(7), pages 1-19, July.
    20. Amirreza Naderipour & Zulkurnain Abdul-Malek & Mohammad Reza Miveh & Mohammad Jafar Hadidian Moghaddam & Akhtar Kalam & Foad. H. Gandoman, 2018. "A Harmonic Compensation Strategy in a Grid-Connected Photovoltaic System Using Zero-Sequence Control," Energies, MDPI, vol. 11(10), pages 1-18, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:rensus:v:158:y:2022:i:c:s1364032122000533. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.