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Less is More: Real-time Failure Localization in Power Systems

Guo, Linqi and Liang, Chen and Zocca, Alessandro and Low, Steven H. and Wierman, Adam (2019) Less is More: Real-time Failure Localization in Power Systems. . (Unpublished) http://resolver.caltech.edu/CaltechAUTHORS:20190626-143544929

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Abstract

Cascading failures in power systems exhibit non-local propagation patterns which make the analysis and mitigation of failures difficult. In this work, we propose a distributed control framework inspired by the recently proposed concepts of unified controller and network tree-partition that offers strong guarantees in both the mitigation and localization of cascading failures in power systems. In this framework, the transmission network is partitioned into several control areas which are connected in a tree structure, and the unified controller is adopted by generators or controllable loads for fast timescale disturbance response. After an initial failure, the proposed strategy always prevents successive failures from happening, and regulates the system to the desired steady state where the impact of initial failures are localized as much as possible. For extreme failures that cannot be localized, the proposed framework has a configurable design, that progressively involves and coordinates more control areas for failure mitigation and, as a last resort, imposes minimal load shedding. We compare the proposed control framework with Automatic Generation Control (AGC) on the IEEE 118-bus test system. Simulation results show that our novel framework greatly improves the system robustness in terms of the N-1 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
http://arxiv.org/abs/1904.05461arXivDiscussion Paper
ORCID:
AuthorORCID
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 grants through PFI:AIR-TT award 1602119, EPCN 1619352, CNS 1545096, CCF 1637598, ECCS 1619352, CNS 1518941, CPS 154471, AitF 1637598, ARPA-E grant through award DE-AR0000699 (NODES) and GRID DATA, DTRA through grant HDTRA 1-15-1-0003 and Skoltech through collaboration agreement 1075-MRA.
Group:Resnick Sustainability Institute
Funders:
Funding AgencyGrant Number
Resnick Sustainability InstituteUNSPECIFIED
Linde Institute of Economic and Management ScienceUNSPECIFIED
Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO)680.50.1529
NSFIIP-1602119
NSFECCS-1619352
NSFCNS-1545096
NSFCCF-1637598
NSFECCS-1619352
NSFCNS-1518941
NSFCPS-154471
NSFCCF-1637598
Advanced Research Projects Agency-Energy (ARPA-E)DE-AR0000699
Defense Threat Reduction Agency (DTRA)HDTRA 1-15-1-0003
Skoltech1075-MRA
Record Number:CaltechAUTHORS:20190626-143544929
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20190626-143544929
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:96748
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:27 Jun 2019 01:54
Last Modified:27 Jun 2019 01:54

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