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Localization & Mitigation of Cascading Failures in Power Systems, Part III: Real-time Mitigation

Guo, Linqi and Liang, Chen and Zocca, Alessandro and Low, Steven H. and Wierman, Adam (2020) Localization & Mitigation of Cascading Failures in Power Systems, Part III: Real-time Mitigation. . (Unpublished)

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Cascading failures in power systems propagate non-locally, making the control of outages extremely difficult. In Part III of this work, we leverage the properties of tree partitioning developed in Parts I and II to propose a distributed control strategy that offers strong guarantees in both the mitigation and localization of cascading failures. Specifically we adopt a recently developed distributed frequency regulation approach, called the Unified Control, that integrates primary and secondary control as well as congestion management at frequency control timescale. When the balancing areas over which the Unified Control operates form a tree partition, our proposed strategy will regulate the system to a steady state where the impact of initial line outages is localized within the areas where they occur whenever possible and stop the cascading process. When initial line outages cannot be localized, the proposed strategy provides a configurable design that involves and coordinates progressively more balancing areas for failure mitigation in a way that can be optimized for different priorities. We compare the proposed control strategy with the classical automatic generation control (AGC) on the IEEE 118-bus and 2736-bus test networks. Simulation results show that our strategy greatly improves overall reliability in terms of the N-k security standard, and localizes the impact of initial failures in majority of the load profiles that are examined. Moreover, the proposed framework incurs significantly less load loss, if any, compared to AGC, in all of our case studies.

Item Type:Report or Paper (Discussion Paper)
Related URLs:
URLURL TypeDescription Paper
Zocca, Alessandro0000-0001-6585-4785
Low, Steven H.0000-0001-6476-3048
Additional Information:This work has been supported by Resnick Fellowship, Linde Institute Research Award, NWO Rubicon grant 680.50.1529, NSF through grants CCF 1637598, ECCS 1619352, ECCS 1931662, CNS 1545096, CNS 1518941, CPS ECCS 1739355, CPS 154471.
Group:Resnick Sustainability Institute
Funding AgencyGrant Number
Resnick Sustainability InstituteUNSPECIFIED
Linde Institute of Economic and Management ScienceUNSPECIFIED
Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO)680.50.1529
Record Number:CaltechAUTHORS:20200707-100438853
Persistent URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:104241
Deposited By: Tony Diaz
Deposited On:07 Jul 2020 17:08
Last Modified:02 Jun 2023 01:06

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