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Cascading overload failure analysis in renewable integrated power grids

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  • Adnan, Muhammad
  • Tariq, Muhammad

Abstract

A higher penetration of renewable energy resources (RERs) in network introduces uncertainty in a grid, which causes cascading overload failures. To mitigate these issues completely, a network must be able to simultaneously solve different complex problems at the same time. For this purpose, proper assessment of a renewable integrated power grid (RIPG) is required simultaneously for load flow balancing and transients stability enhancement. The problem becomes severe with the occurrence of a three phase (L-L-L) fault (TPF) in a network, which causes various line outages in the form of (N-1) and (N-1-1-1) contingencies, and thus lead the network to cascading overload failures. This work aims to develop a hybrid probabilistic load flow balancing model along with transients stability model to completely mitigate cascading overload failures in multiple interconnected RIPGs due to (N-1) and (N-1-1-1) contingencies. For this purpose, a unified power flow controller (UPFC) integrated smart transmission network topology is proposed, which provides an optimal load flow balancing and transients stability enhancement concurrently. Contrary to the previous studies, this work is backed by detailed probabilistic analysis to mitigate completely cascading overload failures in multiple interconnected RIPGs due to (N-1) and (N-1-1-1) contingencies.

Suggested Citation

  • Adnan, Muhammad & Tariq, Muhammad, 2020. "Cascading overload failure analysis in renewable integrated power grids," Reliability Engineering and System Safety, Elsevier, vol. 198(C).
    • Handle: RePEc:eee:reensy:v:198:y:2020:i:c:s0951832019306908
    DOI: 10.1016/j.ress.2020.106887
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    References listed on IDEAS

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    1. Zhang, Ding-Xue & Zhao, Dan & Guan, Zhi-Hong & Wu, Yonghong & Chi, Ming & Zheng, Gui-Lin, 2016. "Probabilistic analysis of cascade failure dynamics in complex network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 299-309.
    2. Zhou, Jian & Huang, Ning & Coit, David W. & Felder, Frank A., 2018. "Combined effects of load dynamics and dependence clusters on cascading failures in network systems," Reliability Engineering and System Safety, Elsevier, vol. 170(C), pages 116-126.
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    Cited by:

    1. Zhao, Yixin & Cai, Baoping & Kang, Henry Hooi-Siang & Liu, Yiliu, 2023. "Cascading failure analysis of multistate loading dependent systems with application in an overloading piping network," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    2. Huang, Wencheng & Zhou, Bowen & Yu, Yaocheng & Yin, Dezhi, 2021. "Vulnerability analysis of road network for dangerous goods transportation considering intentional attack: Based on Cellular Automata," Reliability Engineering and System Safety, Elsevier, vol. 214(C).
    3. Yang, Shenhao & Chen, Weirong & Zhang, Xuexia & Yang, Weiqi, 2021. "A Graph-based Method for Vulnerability Analysis of Renewable Energy integrated Power Systems to Cascading Failures," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
    4. Zhou, Jian & Coit, David W. & Felder, Frank A. & Wang, Dali, 2021. "Resiliency-based restoration optimization for dependent network systems against cascading failures," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
    5. Beyza, Jesus & Yusta, Jose M., 2021. "The effects of the high penetration of renewable energies on the reliability and vulnerability of interconnected electric power systems," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    6. Huang, Wencheng & Zhou, Bowen & Yu, Yaocheng & Sun, Hao & Xu, Pengpeng, 2021. "Using the disaster spreading theory to analyze the cascading failure of urban rail transit network," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    7. Zhou, Jian & Coit, David W. & Felder, Frank A. & Tsianikas, Stamatis, 2023. "Combined optimization of system reliability improvement and resilience with mixed cascading failures in dependent network systems," Reliability Engineering and System Safety, Elsevier, vol. 237(C).

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