IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i24p9655-d1008472.html
   My bibliography  Save this article

New Energy Power System Static Security and Stability Region Calculation Research Based on IPSO-RLS Hybrid Algorithm

Author

Listed:
  • Saniye Maihemuti

    (College of Electrical Engineering, Xinjiang University, Urumqi 830047, China)

  • Weiqing Wang

    (College of Electrical Engineering, Xinjiang University, Urumqi 830047, China)

  • Jiahui Wu

    (College of Electrical Engineering, Xinjiang University, Urumqi 830047, China)

  • Haiyun Wang

    (College of Electrical Engineering, Xinjiang University, Urumqi 830047, China)

  • Muladi Muhedaner

    (Student Affairs Department, Changsha University of Science and Technology, Changsha 410114, China)

Abstract

With the rapid expansion of new energy in China, the large-scale grid connection of new energy is increasing, and the operating safety of the new energy power system is being put to the test. The static security and stability region (SSSR) with hyper-plane expression is an effective instrument for situational awareness and the stability-constrained operation of power systems. This paper proposes a hybrid improved particle swarm optimization (IPSO) and recursive least square (RLS) approach for rapidly approximating the SSSR boundary. Initially, the operating point data in the high-dimensional nodal injection space is examined using the IPSO algorithm to find the key generators, equivalent search space, and crucial points, which have a relatively large impact on static stability. The RLS method is ultimately utilized to fit the SSSR border that best suits the crucial spots. Consequently, the adopted algorithm technique was used to rapidly approximate the SSSR border in power injection spaces. Finally, the suggested algorithm is confirmed by simulating three kinds of generators of the new energy 118 bus system using the DIgSILENT/Power Factory. As a result, this method accurately characterized the stability border of the new energy power system and created the visualization space of the SSSR. Using the SSSR, a rapid state analysis could be undertaken on a variety of parameters, such as security evaluation with diverse energy supply capacities. This study’s findings confirmed the accuracy and efficacy of the suggested modeling for the considered system and may thus give technical support for the new energy power system’s stability.

Suggested Citation

  • Saniye Maihemuti & Weiqing Wang & Jiahui Wu & Haiyun Wang & Muladi Muhedaner, 2022. "New Energy Power System Static Security and Stability Region Calculation Research Based on IPSO-RLS Hybrid Algorithm," Energies, MDPI, vol. 15(24), pages 1-17, December.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:24:p:9655-:d:1008472
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/24/9655/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/24/9655/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wang, Chong & Ju, Ping & Wu, Feng & Lei, Shunbo & Pan, Xueping, 2021. "Sequential steady-state security region-based transmission power system resilience enhancement," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    2. Chertkov, Michael & Backhaus, Scott & Lebedev, Vladimir, 2015. "Cascading of fluctuations in interdependent energy infrastructures: Gas-grid coupling," Applied Energy, Elsevier, vol. 160(C), pages 541-551.
    3. Veerasamy, Veerapandiyan & Abdul Wahab, Noor Izzri & Ramachandran, Rajeswari & Othman, Mohammad Lutfi & Hizam, Hashim & Devendran, Vidhya Sagar & Irudayaraj, Andrew Xavier Raj & Vinayagam, Arangarajan, 2021. "Recurrent network based power flow solution for voltage stability assessment and improvement with distributed energy sources," Applied Energy, Elsevier, vol. 302(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. Hou, Jiazuo & Hu, Chenxi & Lei, Shunbo & Liang, Liang & Hou, Yunhe, 2024. "Security region of inverter-interfaced power systems: Existence, expansion, and application," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
    2. Kandasamy, Jeevitha & Ramachandran, Rajeswari & Veerasamy, Veerapandiyan & Irudayaraj, Andrew Xavier Raj, 2024. "Distributed leader-follower based adaptive consensus control for networked microgrids," Applied Energy, Elsevier, vol. 353(PA).
    3. Liu, Hanchen & Wang, Chong & Ju, Ping & Li, Hongyu, 2022. "A sequentially preventive model enhancing power system resilience against extreme-weather-triggered failures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    4. Guandalini, Giulio & Colbertaldo, Paolo & Campanari, Stefano, 2017. "Dynamic modeling of natural gas quality within transport pipelines in presence of hydrogen injections," Applied Energy, Elsevier, vol. 185(P2), pages 1712-1723.
    5. Silva, Paolo & Bischi, Aldo & Lamberti, Marco & Campanari, Stefano & Macchi, Ennio & Tacchinardi, Danilo, 2019. "Trigenerative solution for natural gas compressor stations: A north Italian test case," Energy, Elsevier, vol. 184(C), pages 129-140.
    6. Colbertaldo, Paolo & Guandalini, Giulio & Campanari, Stefano, 2018. "Modelling the integrated power and transport energy system: The role of power-to-gas and hydrogen in long-term scenarios for Italy," Energy, Elsevier, vol. 154(C), pages 592-601.
    7. Jiang, Tao & Zhang, Rufeng & Li, Xue & Chen, Houhe & Li, Guoqing, 2021. "Integrated energy system security region: Concepts, methods, and implementations," Applied Energy, Elsevier, vol. 283(C).
    8. Gillessen, B. & Heinrichs, H. & Hake, J.-F. & Allelein, H.-J., 2019. "Natural gas as a bridge to sustainability: Infrastructure expansion regarding energy security and system transition," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    9. Andrea Antenucci & Giovanni Sansavini, 2018. "Adequacy and security analysis of interdependent electric and gas networks," Journal of Risk and Reliability, , vol. 232(2), pages 121-139, April.
    10. Antenucci, Andrea & Sansavini, Giovanni, 2019. "Extensive CO2 recycling in power systems via Power-to-Gas and network storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 100(C), pages 33-43.
    11. Lai, Qiupin & Liu, Chengxi & Sun, Kai, 2021. "Vulnerability assessment for voltage stability based on solvability regions of decoupled power flow equations," Applied Energy, Elsevier, vol. 304(C).
    12. Liu, Jiantao & Wang, Lei & Jiao, Ticao & Yang, Wenjing & Xu, Ruilong & Wu, Ke & Ha, Hengxu, 2024. "Multi-period voltage stability-constrained optimal power flow with uncertainties," Applied Energy, Elsevier, vol. 369(C).
    13. Su, Huai & Zhang, Jinjun & Zio, Enrico & Yang, Nan & Li, Xueyi & Zhang, Zongjie, 2018. "An integrated systemic method for supply reliability assessment of natural gas pipeline networks," Applied Energy, Elsevier, vol. 209(C), pages 489-501.
    14. Liu, Kai & Wang, Ming & Zhu, Weihua & Wu, Jinshan & Yan, Xiaoyong, 2018. "Vulnerability analysis of an urban gas pipeline network considering pipeline-road dependency," International Journal of Critical Infrastructure Protection, Elsevier, vol. 23(C), pages 79-89.
    15. Yajing Hu & Jing Liu & Xiandong Xu, 2022. "Dynamic Interactions between Local Energy Systems Coupled by Power and Gas Distribution Networks," Energies, MDPI, vol. 15(22), pages 1-15, November.
    16. Devlin, Joseph & Li, Kang & Higgins, Paraic & Foley, Aoife, 2017. "Gas generation and wind power: A review of unlikely allies in the United Kingdom and Ireland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 757-768.
    17. Tianhao Song & Xiaoqing Han & Baifu Zhang, 2021. "Multi-Time-Scale Optimal Scheduling in Active Distribution Network with Voltage Stability Constraints," Energies, MDPI, vol. 14(21), pages 1-20, November.
    18. Buffat, René & Raubal, Martin, 2019. "Spatio-temporal potential of a biogenic micro CHP swarm in Switzerland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 443-454.
    19. Liu, Zeyu & Li, Hang & Hou, Kai & Xu, Xiandong & Jia, Hongjie & Zhu, Lewei & Mu, Yunfei, 2023. "Risk assessment and alleviation of regional integrated energy system considering cross-system failures," Applied Energy, Elsevier, vol. 350(C).
    20. Wang, Chong & Ju, Ping & Wu, Feng & Pan, Xueping & Wang, Zhaoyu, 2022. "A systematic review on power system resilience from the perspective of generation, network, and load," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).

    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:gam:jeners:v:15:y:2022:i:24:p:9655-:d:1008472. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.