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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
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    References listed on IDEAS

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    1. 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.
    2. 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).
    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).
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