Open AccessOptimal Placement of Fault Passage Indicators in Distribution Networks using Genetic Algorithms
Author(s) -
Abdelmadjid Recioui,
Mounir Merdj,
Anouar Kamli
Publication year - 2021
Publication title -
algerian journal of signals and systems
Language(s) - English
Resource type - Journals
eISSN - 2676-1548
pISSN - 2543-3792
DOI - 10.51485/ajss.v6i4.139
Subject(s) - fault (geology) , genetic algorithm , task (project management) , reliability (semiconductor) , stability (learning theory) , power (physics) , reliability engineering , computer science , work (physics) , voltage , distribution (mathematics) , engineering , algorithm , mathematical optimization , electrical engineering , mathematics , mechanical engineering , mathematical analysis , physics , systems engineering , quantum mechanics , machine learning , seismology , geology
Fault Passage Indicators (FPIs); also named Faulted Circuit Indicators (FCIs), have been under development for the last 70 years including new capabilities to satisfy the needs of the distribution network operators. In order to improve system stability, these devices can be deployed along the feeder to reduce, or even eliminate, the uncertainty about the fault location. The number and location of FPIs affects the network reliability that can lead to extra charge on the distribution companies as well as the consumers. In this work, the optimal number and location of fault passage indicators in Power Distribution Networks (PDN) are determined. The problem is cast as an optimization task with a special economical combined objective function and solved using the genetic algorithms. The work has been tested on the two case studies, IEEE 9 bus and IEEE 33 bus systems.