A Novel Solution Method for the Distribution Network Reconfiguration Problem Based on a Search Mechanism Enhancement of the Improved Harmony Search Algorithm
Josephy Dias Santos,
Frederico Marques,
Lina Paola Garcés Negrete,
Gelson A. Andrêa Brigatto,
Jesús M. López-Lezama and
Nicolás Muñoz-Galeano
Additional contact information
Josephy Dias Santos: Electrical, Mechanical and Computer Engineering School, Federal University of Goias, Av. Universitária, No. 1488, Goiania 74605-010, Brazil
Frederico Marques: Electrical, Mechanical and Computer Engineering School, Federal University of Goias, Av. Universitária, No. 1488, Goiania 74605-010, Brazil
Lina Paola Garcés Negrete: Electrical, Mechanical and Computer Engineering School, Federal University of Goias, Av. Universitária, No. 1488, Goiania 74605-010, Brazil
Gelson A. Andrêa Brigatto: Electrical, Mechanical and Computer Engineering School, Federal University of Goias, Av. Universitária, No. 1488, Goiania 74605-010, Brazil
Jesús M. López-Lezama: Research Group on Efficient Energy Management (GIMEL), Departamento de Ingeniería Eléctrica, Universidad de Antioquia (UdeA), Medellin 050010, Colombia
Nicolás Muñoz-Galeano: Research Group on Efficient Energy Management (GIMEL), Departamento de Ingeniería Eléctrica, Universidad de Antioquia (UdeA), Medellin 050010, Colombia
Energies, 2022, vol. 15, issue 6, 1-15
Abstract:
This paper addresses the problem of Distribution Systems Reconfiguration (DSR), which consists of finding the state of switching devices (open or closed) in a given distribution network, aiming to minimize active power loses. DSR is modeled as a mixed-integer non-linear optimization problem, in which the integer variables represent the state of the switches, and the continuous variables represent the power flowing through the branches. Given the multi-modal and non-convex nature of the problem, an improved harmony search (IHS) algorithm is proposed to solve the DSR problem. The main novelty of this approach is the inclusion of a Path Relinking phase which accelerates convergence of the DSR problem. Several tests were carried out in four benchmark distribution systems, evidencing the effectiveness and applicability of the proposed approach.
Keywords: distribution networks; metaheuristics; optimization; power losses; reconfiguration (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (5)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:6:p:2083-:d:769875
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