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Dynamic thermal rating for efficient management of post-contingency congestions

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Original languageEnglish
Title of host publication2019 IEEE Milan PowerTech, PowerTech 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538647226
DOIs
Publication statusPublished - 26 Aug 2019
Event2019 IEEE Milan PowerTech, PowerTech 2019 - Milan, Italy
Duration: 23 Jun 201927 Jun 2019

Conference

Conference2019 IEEE Milan PowerTech, PowerTech 2019
CountryItaly
CityMilan
Period23/06/1927/06/19

Abstract

This paper presents a novel optimal power flow (OPF) based approach for post-contingency management of severe congestions, aimed at maximizing lead time available to the network operators before the next contingency occurs. The approach first computes the maximum allowed overloading times for the congested transmission lines and transformers, using their dynamic thermal models. Afterwards, the OPF analysis is performed to identify the maximum lead time available to the network operator for managing post-contingency constraints and for devising and implementing the most efficient corrective actions. The corresponding OPF problem is modelled as a mixed-integer nonlinear optimization problem and solved using mixed-discrete particle swarm optimization (MDPSO) approach. The approach is illustrated on a modified IEEE 14-bus network and obtained results demonstrate that presented approach can manage considered constraints within the available lead time.

    Research areas

  • Congestion management, Dynamic thermal rating, Maximum allowed overloading time, Mixed-integer nonlinear optimization problem, Particle swarm optimization

Event

2019 IEEE Milan PowerTech, PowerTech 2019

23/06/1927/06/19

Milan, Italy

Event: Conference

ID: 114541675