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Reliability impact of dynamic thermal rating on power system under high wind penetration and frequency security constraints

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  • He, Xi
  • Teh, Jiashen
  • Alharbi, Bader

Abstract

With the increasing integration of wind energy into modern power systems, challenges related to frequency security, transmission congestion and overall system reliability have become increasingly critical. This paper investigates the application of Dynamic Thermal Rating (DTR) technology as a potential solution to mitigate challenges associated with high wind power penetration and frequency security constraints. A modified low-order Aggregated System Frequency Response (ASFR) model is developed to analyze frequency dynamics under different levels of wind power penetration. The integration of wind power is limited by system frequency constraints, which subsequently affect system reliability. To address these issues, the reliability performance of a modified IEEE 24-bus test system integrated with DTR is first assessed, and the scalability of the proposed framework is subsequently validated on an extended IEEE RTS-96 system. Under high-load conditions and at 30 % wind power penetration, the inclusion of the ASFR model to represent frequency security constraints reduces the Expected Energy Not Supplied (EENS) mitigation benefit of DTR by 19.7 %. The results indicate that neglecting frequency security constraints may lead to an overestimation of the reliability benefits attributed to DTR. To evaluate system performance under different conditions, four representative scenarios are considered with wind power penetration levels ranging from 20 % to 50 %. These scenarios incorporate strategies such as curtailment, synthetic inertia, de-loaded operation and energy storage system integration. The results demonstrate that DTR plays a critical role in enhancing the integration of renewable energy sources while maintaining system reliability and operational security under varying load and frequency conditions.

Suggested Citation

  • He, Xi & Teh, Jiashen & Alharbi, Bader, 2025. "Reliability impact of dynamic thermal rating on power system under high wind penetration and frequency security constraints," Applied Energy, Elsevier, vol. 400(C).
  • Handle: RePEc:eee:appene:v:400:y:2025:i:c:s0306261925012668
    DOI: 10.1016/j.apenergy.2025.126536
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    References listed on IDEAS

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    1. Justo, Jackson John & Mwasilu, Francis & Jung, Jin-Woo, 2015. "Doubly-fed induction generator based wind turbines: A comprehensive review of fault ride-through strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 447-467.
    2. Ghanbarzadeh, Taraneh & Habibi, Daryoush & Aziz, Asma, 2025. "Addressing reliability challenges in generation capacity planning under high penetration of renewable energy resources and storage solutions: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 212(C).
    3. Amin, Amin & Mourshed, Monjur, 2024. "Weather and climate data for energy applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
    4. Song, Tianhua & Teh, Jiashen & Alharbi, Bader, 2024. "Reliability impact of dynamic thermal line rating and electric vehicles on wind power integrated networks," Energy, Elsevier, vol. 313(C).
    5. Hosius, Emil & Seebaß, Johann V. & Wacker, Benjamin & Schlüter, Jan Chr., 2023. "The impact of offshore wind energy on Northern European wholesale electricity prices," Applied Energy, Elsevier, vol. 341(C).
    6. 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).
    7. Rigby, Aidan & Baker, Una & Lindley, Benjamin & Wagner, Michael, 2024. "Generation and validation of comprehensive synthetic weather histories using auto-regressive moving-average models," Renewable Energy, Elsevier, vol. 224(C).
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