IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v370y2024ics0306261924009036.html
   My bibliography  Save this article

Applicability boundary calculation for directional current protection in distribution networks with accessed PV power sources

Author

Listed:
  • He, Jiawei
  • Mu, Rui
  • Li, Bin
  • Li, Ye
  • Zhou, Bohao
  • Xie, Zhongrun
  • Wang, Wenbo

Abstract

With rapid increase of the photovoltaic (PV) power sources accessed in distribution networks, the performance of current protection has been highly affected. It is universally acknowledged that the direction criterion can improve the performance of current protection, under the influence of PV sources, which however, still remains in qualitative cognition. In this paper, a method for quantitatively calculating the applicability boundary of directional current protection in distribution networks with accessed PV power sources, which is indexed by the PV capacity boundary, is proposed. Furthermore, a simplified assessment model is discussed to improve the computation speed, in the discussed case, the computation time of the simplified model is 11.576 h, which is only 64.26% of that of the initial model (18.014 h). On this basis, the applicability boundaries of current protection and directional current protection are discussed in a typical two-feeder distribution network. The case analysis shows that the increase of the applicability boundary of the current protection by introducing traditional power direction criterion is limited (36.7% in the discussed case). Differently, if the influence of PV sources on the direction criterion can be avoided, the applicability boundary can be further increased (by 142% in the discussed case). Finally, simulation cases based on PSCAD/EMTDC are carried out to fully demonstrate the correctness and accuracy of the proposed calculation method.

Suggested Citation

  • He, Jiawei & Mu, Rui & Li, Bin & Li, Ye & Zhou, Bohao & Xie, Zhongrun & Wang, Wenbo, 2024. "Applicability boundary calculation for directional current protection in distribution networks with accessed PV power sources," Applied Energy, Elsevier, vol. 370(C).
    • Handle: RePEc:eee:appene:v:370:y:2024:i:c:s0306261924009036
    DOI: 10.1016/j.apenergy.2024.123520
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261924009036
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2024.123520?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. Azeredo, Lucas F.S. & Yahyaoui, Imene & Fiorotti, Rodrigo & Fardin, Jussara F. & Garcia-Pereira, Hilel & Rocha, Helder R.O., 2023. "Study of reducing losses, short-circuit currents and harmonics by allocation of distributed generation, capacitor banks and fault current limiters in distribution grids," Applied Energy, Elsevier, vol. 350(C).
    2. Uzair, Muhammad & Li, Li & Eskandari, Mohsen & Hossain, Jahangir & Zhu, Jian Guo, 2023. "Challenges, advances and future trends in AC microgrid protection: With a focus on intelligent learning methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 178(C).
    3. Huy, Phung Dang & Ramachandaramurthy, Vigna K. & Yong, Jia Ying & Tan, Kang Miao & Ekanayake, Janaka B., 2020. "Optimal placement, sizing and power factor of distributed generation: A comprehensive study spanning from the planning stage to the operation stage," Energy, Elsevier, vol. 195(C).
    4. Rizqi, Zakka Ugih & Chou, Shuo-Yan & Yu, Tiffany Hui-Kuang, 2023. "Green energy mix modeling under supply uncertainty: Hybrid system dynamics and adaptive PSO approach," Applied Energy, Elsevier, vol. 349(C).
    5. Aghaei, Jamshid & Muttaqi, Kashem M. & Azizivahed, Ali & Gitizadeh, Mohsen, 2014. "Distribution expansion planning considering reliability and security of energy using modified PSO (Particle Swarm Optimization) algorithm," Energy, Elsevier, vol. 65(C), pages 398-411.
    6. Zhao, Jing & Yang, Zilan & Shi, Linyu & Liu, Dehan & Li, Haonan & Mi, Yumiao & Wang, Hongbin & Feng, Meili & Hutagaol, Timothy Joseph, 2024. "Photovoltaic capacity dynamic tracking model predictive control strategy of air-conditioning systems with consideration of flexible loads," Applied Energy, Elsevier, vol. 356(C).
    7. El Halabi, N. & García-Gracia, M. & Borroy, J. & Villa, J.L., 2011. "Current phase comparison pilot scheme for distributed generation networks protection," Applied Energy, Elsevier, vol. 88(12), pages 4563-4569.
    8. Singh, Pushpendra & Meena, Nand K. & Yang, Jin & Vega-Fuentes, Eduardo & Bishnoi, Shree Krishna, 2020. "Multi-criteria decision making monarch butterfly optimization for optimal distributed energy resources mix in distribution networks," Applied Energy, Elsevier, vol. 278(C).
    9. Patnaik, Bhaskar & Mishra, Manohar & Bansal, Ramesh C. & Jena, Ranjan Kumar, 2020. "AC microgrid protection – A review: Current and future prospective," Applied Energy, Elsevier, vol. 271(C).
    10. Sankar, Matta Mani & Chatterjee, Kalyan, 2023. "A posteriori multiobjective approach for techno-economic allocation of PV and BES units in a distribution system hosting PHEVs," Applied Energy, Elsevier, vol. 351(C).
    11. Joshua, Ann Mary & Vittal, K. Panduranga, 2023. "Superimposed current based differential protection scheme for AC microgrid feeders," Applied Energy, Elsevier, vol. 341(C).
    Full references (including those not matched with items on IDEAS)

    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. Ahmadigorji, Masoud & Amjady, Nima, 2015. "Optimal dynamic expansion planning of distribution systems considering non-renewable distributed generation using a new heuristic double-stage optimization solution approach," Applied Energy, Elsevier, vol. 156(C), pages 655-665.
    2. Rani, Preeti & Parkash, Ved & Sharma, Naveen Kumar, 2024. "Technological aspects, utilization and impact on power system for distributed generation: A comprehensive survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
    3. Mario Versaci & Fabio La Foresta, 2024. "Fuzzy Approach for Managing Renewable Energy Flows for DC-Microgrid with Composite PV-WT Generators and Energy Storage System," Energies, MDPI, vol. 17(2), pages 1-31, January.
    4. Sulman Shahzad & Muhammad Abbas Abbasi & Hassan Ali & Muhammad Iqbal & Rania Munir & Heybet Kilic, 2023. "Possibilities, Challenges, and Future Opportunities of Microgrids: A Review," Sustainability, MDPI, vol. 15(8), pages 1-28, April.
    5. Wang, Lixiao & Jing, Z.X. & Zheng, J.H. & Wu, Q.H. & Wei, Feng, 2018. "Decentralized optimization of coordinated electrical and thermal generations in hierarchical integrated energy systems considering competitive individuals," Energy, Elsevier, vol. 158(C), pages 607-622.
    6. Abhinav Kumar & Sanjay Kumar & Umesh Kumar Sinha & Aashish Kumar Bohre & Akshay Kumar Saha, 2024. "Optimal Clean Energy Resource Allocation in Balanced and Unbalanced Operation of Sustainable Electrical Energy Distribution Networks," Energies, MDPI, vol. 17(18), pages 1-52, September.
    7. Younes Zahraoui & Ibrahim Alhamrouni & Saad Mekhilef & M. Reyasudin Basir Khan & Mehdi Seyedmahmoudian & Alex Stojcevski & Ben Horan, 2021. "Energy Management System in Microgrids: A Comprehensive Review," Sustainability, MDPI, vol. 13(19), pages 1-33, September.
    8. Haojie Mo & Yonggang Peng & Wei Wei & Wei Xi & Tiantian Cai, 2022. "SR-GNN Based Fault Classification and Location in Power Distribution Network," Energies, MDPI, vol. 16(1), pages 1-15, December.
    9. Sobia Ashraf & Osman Hasan & Ibrahim Evkay & Ugur S. Selamogullari & Mustafa Baysal, 2024. "Recent trends and developments in protection systems for microgrids incorporating distributed generation," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 13(4), July.
    10. Rosato, Antonello & Panella, Massimo & Andreotti, Amedeo & Mohammed, Osama A. & Araneo, Rodolfo, 2021. "Two-stage dynamic management in energy communities using a decision system based on elastic net regularization," Applied Energy, Elsevier, vol. 291(C).
    11. Xiaogang Dong & Jinqiang Gan & Hao Wu & Changchang Deng & Sisheng Liu & Chaolong Song, 2022. "Self-Triggered Model Predictive Control of AC Microgrids with Physical and Communication State Constraints," Energies, MDPI, vol. 15(3), pages 1-16, February.
    12. Oludamilare Bode Adewuyi & Ayooluwa Peter Adeagbo & Isaiah Gbadegesin Adebayo & Harun Or Rashid Howlader & Yanxia Sun, 2021. "Modified Analytical Approach for PV-DGs Integration into a Radial Distribution Network Considering Loss Sensitivity and Voltage Stability," Energies, MDPI, vol. 14(22), pages 1-20, November.
    13. Jia, Ke & Gu, Chenjie & Li, Lun & Xuan, Zhengwen & Bi, Tianshu & Thomas, David, 2018. "Sparse voltage amplitude measurement based fault location in large-scale photovoltaic power plants," Applied Energy, Elsevier, vol. 211(C), pages 568-581.
    14. Tabassum, Tambiara & Toker, Onur & Khalghani, Mohammad Reza, 2024. "Cyber–physical anomaly detection for inverter-based microgrid using autoencoder neural network," Applied Energy, Elsevier, vol. 355(C).
    15. Ahmadigorji, Masoud & Amjady, Nima, 2016. "A multiyear DG-incorporated framework for expansion planning of distribution networks using binary chaotic shark smell optimization algorithm," Energy, Elsevier, vol. 102(C), pages 199-215.
    16. Dagar, Annu & Gupta, Pankaj & Niranjan, Vandana, 2021. "Microgrid protection: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    17. Esmaeeli, Mostafa & Kazemi, Ahad & Shayanfar, Heidarali & Chicco, Gianfranco & Siano, Pierluigi, 2017. "Risk-based planning of the distribution network structure considering uncertainties in demand and cost of energy," Energy, Elsevier, vol. 119(C), pages 578-587.
    18. Mohd Zin, Abdullah Asuhaimi B. & Pesaran H.A., Mahmoud & Khairuddin, Azhar B. & Jahanshaloo, Leila & Shariati, Omid, 2013. "An overview on doubly fed induction generators′ controls and contributions to wind based electricity generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 692-708.
    19. Mayer, Martin János & Biró, Bence & Szücs, Botond & Aszódi, Attila, 2023. "Probabilistic modeling of future electricity systems with high renewable energy penetration using machine learning," Applied Energy, Elsevier, vol. 336(C).
    20. Pramod Kumar & Nagendra Kumar Swarnkar & Ahmed Ali & Om Prakash Mahela & Baseem Khan & Divya Anand & Julien Brito Ballester, 2023. "Transmission Network Loss Reduction and Voltage Profile Improvement Using Network Restructuring and Optimal DG Placement," Sustainability, MDPI, vol. 15(2), pages 1-19, January.

    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:appene:v:370:y:2024:i:c:s0306261924009036. 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/405891/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.