Acta Marisiensis.
|
|
||||||
Year 2024
Volume 21 (XXXVIII), no 1 Year 2023 Volume 20 (XXXVII), no 1 Volume 20 (XXXVII), no 2 Year 2022 Volume 19 (XXXVI), no 1 Volume 19 (XXXVI), no 2 Year 2021 Volume 18 (XXXV), no 1 Volume 18 (XXXV), no 2 Year 2020 Volume 17 (XXXIV), no 1 Volume 17 (XXXIV), no 2 Year 2019 Volume 16 (XXXIII), no 1 Volume 16 (XXXIII), no 2 Year 2018 Volume 15 (XXXII), no 1 Volume 15 (XXXII), no 2 Year 2017 Volume 14 (XXXI), no 1 Volume 14 (XXXI), no 2 Year 2016 Volume 13 (XXX), no 1 Volume 13 (XXX), no 2 Year 2015 Volume 12 (XXIX), no 1 Volume 12 (XXIX), no 2 Year 2014 Volume 11 (XXVIII), no 1 Volume 11 (XXVIII), no 2 Year 2013 Volume 10 (XXVII), no 1 Volume 10 (XXVII), no 2 Year 2012 Volume 9 (XXVI), no 1 Volume 9 (XXVI), no 2 Year 2011 Volume 8 (XXV), no 1 Volume 8 (XXV), no 2 Year 2010 Volume 7 (XXIV), no 1 Volume 7 (XXIV), no 2 Year 2009 Volume 6 (XXIII) |
2021, Volume 18 (XXXV), no 1
Shahrokh SHOJAEIAN, Sajjad Hashemi RIZI, Khomeinishahr Branch, Islamic Azad University, Isfahan, IRAN Abstract: In this paper, a proposed algorithm based on Particle Swarm Optimization (PSO) is used to present a simple method for data calibration of reliability indices in electrical power distribution networks. The main feature of the proposed method is its comprehensiveness, since the whole reliability indices can be calibrated using a proper objective function. In order to evaluate the effectiveness of the suggested algorithm, calculations are made on the well-known IEEE-RBTS Bus2 test system. The results confirm the simplicity and validation of the proposed method, and verify that by applying the proposed method, the computation speed for data calibration can be reduced as well. DOI: https://doi.org/10.2478/amset-2021-0007 Pages: 40-46 View full article |
||||||
Update: 19-Jun-2024 | © Published by University Press |