IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v378y2025ipas0306261924020348.html
   My bibliography  Save this article

Dynamic line rating and optimal transmission switching for maximizing renewable energy sources injection with voltage stability constraint

Author

Listed:
  • Wu, Ke
  • Wang, Lei
  • Ha, Hengxu
  • Wang, Zhiyuan

Abstract

Renewable energy sources (RES), such as wind and photovoltaic, has been widely integrated into power systems. However, the phenomenon of “wind curtailment” and “sunlight curtailment” is still a critical issue, resulting in the sharp decline of renewable resource utilization. The factors of reducing the renewable resources injection are the limited line thermal capacity, voltage magnitude limit, and voltage stability issues. This paper presents a maximizing RES injection (MRI) problem with voltage stability constraints, AC power flow constraints and operating constraints. A novel dynamic line rating (DLR) technique is proposed for dynamically assessing transmission line capacity of transmission line. By jointly DLR and optimal transmission switching (OTS), the proposed model’s solution can maximize power network’s transmission capacity and ensure the technique and physical operation requirements of power systems. Due to the difficulty in solving the proposed model, a prescreening technique is presented to screen out the ineffective lines by three indicators. The proposed approach has been applied to the IEEE 24-bus RTS system, the IEEE 118-bus power system, and the IEEE 3120-bus power system. The computational results show the effectiveness of the conducted model in maximizing the utilization of RES and improving the acceptable level of power grid for renewable resources.

Suggested Citation

  • Wu, Ke & Wang, Lei & Ha, Hengxu & Wang, Zhiyuan, 2025. "Dynamic line rating and optimal transmission switching for maximizing renewable energy sources injection with voltage stability constraint," Applied Energy, Elsevier, vol. 378(PA).
    • Handle: RePEc:eee:appene:v:378:y:2025:i:pa:s0306261924020348
    DOI: 10.1016/j.apenergy.2024.124651
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261924020348
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2024.124651?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. Mohseni-Bonab, Seyed Masoud & Kamwa, Innocent & Rabiee, Abbas & Chung, C.Y., 2022. "Stochastic optimal transmission Switching: A novel approach to enhance power grid security margins through vulnerability mitigation under renewables uncertainties," Applied Energy, Elsevier, vol. 305(C).
    2. Glaum, Philipp & Hofmann, Fabian, 2023. "Leveraging the existing German transmission grid with dynamic line rating," Applied Energy, Elsevier, vol. 343(C).
    3. Fernandez, E. & Albizu, I. & Bedialauneta, M.T. & Mazon, A.J. & Leite, P.T., 2016. "Review of dynamic line rating systems for wind power integration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 80-92.
    4. Lai, Ching-Ming & Teh, Jiashen, 2022. "Network topology optimisation based on dynamic thermal rating and battery storage systems for improved wind penetration and reliability," Applied Energy, Elsevier, vol. 305(C).
    5. Akhlaghi, M. & Moravej, Z. & Bagheri, A., 2022. "Maximizing wind energy utilization in smart power systems using a flexible network-constrained unit commitment through dynamic lines and transformers rating," Energy, Elsevier, vol. 261(PA).
    6. Simshauser, Paul, 2024. "On static vs. dynamic line ratings in renewable energy zones," Energy Economics, Elsevier, vol. 129(C).
    7. Fera, M. & Macchiaroli, R. & Iannone, R. & Miranda, S. & Riemma, S., 2016. "Economic evaluation model for the energy Demand Response," Energy, Elsevier, vol. 112(C), pages 457-468.
    8. Li, Yinxiao & Wang, Yi & Chen, Qixin, 2020. "Study on the impacts of meteorological factors on distributed photovoltaic accommodation considering dynamic line parameters," Applied Energy, Elsevier, vol. 259(C).
    9. Peker, Meltem & Kocaman, Ayse Selin & Kara, Bahar Y., 2018. "Benefits of transmission switching and energy storage in power systems with high renewable energy penetration," Applied Energy, Elsevier, vol. 228(C), pages 1182-1197.
    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. F. Gülşen Erdinç & Ozan Erdinç & Recep Yumurtacı & João P. S. Catalão, 2020. "A Comprehensive Overview of Dynamic Line Rating Combined with Other Flexibility Options from an Operational Point of View," Energies, MDPI, vol. 13(24), pages 1-30, December.
    2. Wu, Long & Yin, Xunyuan & Pan, Lei & Liu, Jinfeng, 2023. "Distributed economic predictive control of integrated energy systems for enhanced synergy and grid response: A decomposition and cooperation strategy," Applied Energy, Elsevier, vol. 349(C).
    3. Qingsong Wang & Ming Cheng & Giuseppe Buja, 2017. "Integration of Electric Springs and Multi-Port Transformers—A New Solution for AC Microgrids with Renewable Energy Sources," Energies, MDPI, vol. 10(2), pages 1-18, February.
    4. Wang, Shaoliang & Xu, Zeyu & Wu, Xiaoliang & Zhao, Huan & Zhao, Jinling & Liu, Jianguo & Yan, Chuanwei & Fan, Xinzhuang, 2020. "Analyses and optimization of electrolyte concentration on the electrochemical performance of iron-chromium flow battery," Applied Energy, Elsevier, vol. 271(C).
    5. Kocaman, Ayse Selin & Ozyoruk, Emin & Taneja, Shantanu & Modi, Vijay, 2020. "A stochastic framework to evaluate the impact of agricultural load flexibility on the sizing of renewable energy systems," Renewable Energy, Elsevier, vol. 152(C), pages 1067-1078.
    6. Dranka, Géremi Gilson & Ferreira, Paula & Vaz, A. Ismael F., 2021. "A review of co-optimization approaches for operational and planning problems in the energy sector," Applied Energy, Elsevier, vol. 304(C).
    7. Simshauser, P. & Gohde, N., 2024. "3-Party Covenant Financing of 'Semi-Regulated' Pumped Hydro Assets," Cambridge Working Papers in Economics 2425, Faculty of Economics, University of Cambridge.
    8. Yeh, Wei-Chang & He, Min-Fan & Huang, Chia-Ling & Tan, Shi-Yi & Zhang, Xianyong & Huang, Yaohong & Li, Li, 2020. "New genetic algorithm for economic dispatch of stand-alone three-modular microgrid in DongAo Island," Applied Energy, Elsevier, vol. 263(C).
    9. Brooks, Adria E. & Lesieutre, Bernard C., 2022. "A locational marginal price for frequency balancing operations in regulation markets," Applied Energy, Elsevier, vol. 308(C).
    10. Meng, He & Jia, Hongjie & Xu, Tao & Wei, Wei & Wu, Yuhan & Liang, Lemeng & Cai, Shuqi & Liu, Zuozheng & Wang, Rujing & Li, Mengchao, 2022. "Optimal configuration of cooperative stationary and mobile energy storage considering ambient temperature: A case for Winter Olympic Game," Applied Energy, Elsevier, vol. 325(C).
    11. Qiao, Qiao & Zeng, Xianhai & Lin, Boqiang, 2024. "Mitigating wind curtailment risk in China: The impact of subsidy reduction policy," Applied Energy, Elsevier, vol. 368(C).
    12. Karimi, Soheila & Musilek, Petr & Knight, Andrew M., 2018. "Dynamic thermal rating of transmission lines: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 600-612.
    13. Nayeem Chowdhury & Fabrizio Pilo & Giuditta Pisano, 2020. "Optimal Energy Storage System Positioning and Sizing with Robust Optimization," Energies, MDPI, vol. 13(3), pages 1-20, January.
    14. Wu, Xin & Jiao, Dian & Liang, Kaixin & Han, Xiao, 2019. "A fast online load identification algorithm based on V-I characteristics of high-frequency data under user operational constraints," Energy, Elsevier, vol. 188(C).
    15. Hui, Hongxun & Chen, Yulin & Yang, Shaohua & Zhang, Hongcai & Jiang, Tao, 2022. "Coordination control of distributed generators and load resources for frequency restoration in isolated urban microgrids," Applied Energy, Elsevier, vol. 327(C).
    16. Liu, Shen & Colson, Gregory & Wetzstein, Michael, 2018. "Biodiesel investment in a disruptive tax-credit policy environment," Energy Policy, Elsevier, vol. 123(C), pages 19-30.
    17. Cortés-Arcos, Tomás & Bernal-Agustín, José L. & Dufo-López, Rodolfo & Lujano-Rojas, Juan M. & Contreras, Javier, 2017. "Multi-objective demand response to real-time prices (RTP) using a task scheduling methodology," Energy, Elsevier, vol. 138(C), pages 19-31.
    18. Megersa Tesfaye Boke & Semu Ayalew Moges & Zeleke Agide Dejen, 2022. "Optimizing renewable-based energy supply options for power generation in Ethiopia," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-15, January.
    19. Gilson Dranka, Géremi & Ferreira, Paula & Vaz, A. Ismael F., 2022. "Co-benefits between energy efficiency and demand-response on renewable-based energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 169(C).
    20. Rivera-Lugo, Yazmín Y. & Salazar-Gastélum, Moisés I. & López-Rosas, Deisly M. & Reynoso-Soto, Edgar A. & Pérez-Sicairos, Sergio & Velraj, Samgopiraj & Flores-Hernández, José R. & Félix-Navarro, Rosa M, 2018. "Effect of template, reaction time and platinum concentration in the synthesis of PtCu/CNT catalyst for PEMFC applications," Energy, Elsevier, vol. 148(C), pages 561-570.

    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:378:y:2025:i:pa:s0306261924020348. 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.