Methodology for Load Shedding Actions Planning in Medium Voltage Electric Distribution Systems.

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Paper number
131
Working Group Number
Conference name
CIRED 2019
Conference date
3-6 June 2019
Conference location
Madrid, Spain
Peer-reviewed
Yes
Short title
Convener
Authors
Borges, Guilherme, Daimon, Brazil
Lima, Rogério, University Of Sao Paulo, Brazil
Romero, Fabio , Daimon , Brazil
Abstract
In this work, we develop and implement in computer a methodology that assists in the management of the distribution network (planning and operation) in order to offer predictive solutions (considering multiple criteria), regarding the problem of load shedding. We use relocating loads and/or load shedding techniques, sometimes requested by the Transmission System Operator-TSO, sometimes from a contingency in the interconnected power transmission system. The solution developed offers reliability, productivity and efficiency through an architecture that uses adaptive algorithms and predictive analysis. This solution is based on the Multi objective Evolutionary Algorithm in Tables MOEA/T, which was initially developed for the problem of restoring energy in distribution systems. The methodology developed in this research addresses the problem of load shedding, seeking to minimize the number of consumers without electricity supply and the number of switching operations, considering multiple criteria. However, it is necessary to obtain an adequate switching operations plan so that it does not impede the implementation in practice and that results in solutions that include: the absence of overload in the network and substations, the maintenance of voltage levels within the intervals required by law and the maintenance of network radiality. To achieve these objectives, techniques are used which determine the switching sequence required for the load shedding plane obtained. Priority is also given to supplying priority consumers and selective cutting of loads in conditions of exhaustion of the relocation possibilities between the primary feeders.
Table of content
Keywords
Publisher
AIM
Date
2019-06-03
Permanent link to this record
https://cired-repository.org/handle/20.500.12455/460
http://dx.doi.org/10.34890/687
ISSN
2032-9644
ISBN
978-2-9602415-0-1