A Novel Framework Based on Mixed-Integer Linear Programming to Restore a Disintegrated Power Grid after Cascading Failures

Electric power systems are prone to disturbances and contingencies, which can trigger cascading failures with severe consequences for society. These undesirable events could disintegrate the electrical infrastructure in areas with disconnected elements. In this article, we propose a novel procedure...

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Bibliographic Details
Published in:Revista IEEE América Latina Vol. 19; no. 4; pp. 669 - 678
Main Authors: Beyza, Jesus, Yusta, Jose M., Ruiz-Paredes, Hector F., Garcia-Paricio, Eduardo
Format: Journal Article
Language:English
Published: Los Alamitos IEEE 01.04.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
cascading failures
Disintegration
Electric power grids
Electric power systems
Electrical networks
Electricity distribution
IEEE transactions
Integer programming
Linear programming
Mixed integer
Mixed integer linear programming
Power grids
Power lines
Power system faults
Power system protection
power system security
Resilience
Silicon compounds
vulnerability
ISSN:1548-0992, 1548-0992
Online Access:Get full text
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Summary:Electric power systems are prone to disturbances and contingencies, which can trigger cascading failures with severe consequences for society. These undesirable events could disintegrate the electrical infrastructure in areas with disconnected elements. In this article, we propose a novel procedure to restore a collapsed power grid composed of multiple islands and isolated assets. The framework developed identifies the power lines to be closed during the electrical network recovery stages. In the latter, link overload limits and generation thresholds are taken into account. Two disintegrated networks based on the well-known IEEE 57-bus test system are built to demonstrate the performance of our proposal. In summary, this methodology provides a solution to recover the power system optimally and reliably.
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ISSN:1548-0992
1548-0992
DOI:10.1109/TLA.2021.9448550