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https://doi.org/10.17559/TV-20180525204445

Distribution Network Reconfiguration with Large Number of Switches Solved by a Modified Binary Bat Algorithm and Improved Seed Population

Michell J. Quintero-Duran   ORCID icon orcid.org/0000-0003-1406-9888 ; Universidad Nacional de Colombia, Sede Medellín, Carrera 80 No. 65-223, Medellín, Colombia
John E. Candelo-Becerra ; Universidad Nacional de Colombia, Sede Medellín, Carrera 80 No. 65-223, Medellín, Colombia
Katherine Cabana-Jimenez   ORCID icon orcid.org/0000-0003-3859-1160 ; Universidad de la Costa, Calle 58 No. 55-66, Barranquilla, Colombia

Puni tekst: engleski, pdf (967 KB) str. 1284-1291 preuzimanja: 47* citiraj
APA 6th Edition
Quintero-Duran, M.J., Candelo-Becerra, J.E. i Cabana-Jimenez, K. (2019). Distribution Network Reconfiguration with Large Number of Switches Solved by a Modified Binary Bat Algorithm and Improved Seed Population. Tehnički vjesnik, 26 (5), 1284-1291. https://doi.org/10.17559/TV-20180525204445
MLA 8th Edition
Quintero-Duran, Michell J., et al. "Distribution Network Reconfiguration with Large Number of Switches Solved by a Modified Binary Bat Algorithm and Improved Seed Population." Tehnički vjesnik, vol. 26, br. 5, 2019, str. 1284-1291. https://doi.org/10.17559/TV-20180525204445. Citirano 15.11.2019.
Chicago 17th Edition
Quintero-Duran, Michell J., John E. Candelo-Becerra i Katherine Cabana-Jimenez. "Distribution Network Reconfiguration with Large Number of Switches Solved by a Modified Binary Bat Algorithm and Improved Seed Population." Tehnički vjesnik 26, br. 5 (2019): 1284-1291. https://doi.org/10.17559/TV-20180525204445
Harvard
Quintero-Duran, M.J., Candelo-Becerra, J.E., i Cabana-Jimenez, K. (2019). 'Distribution Network Reconfiguration with Large Number of Switches Solved by a Modified Binary Bat Algorithm and Improved Seed Population', Tehnički vjesnik, 26(5), str. 1284-1291. https://doi.org/10.17559/TV-20180525204445
Vancouver
Quintero-Duran MJ, Candelo-Becerra JE, Cabana-Jimenez K. Distribution Network Reconfiguration with Large Number of Switches Solved by a Modified Binary Bat Algorithm and Improved Seed Population. Tehnički vjesnik [Internet]. 2019 [pristupljeno 15.11.2019.];26(5):1284-1291. https://doi.org/10.17559/TV-20180525204445
IEEE
M.J. Quintero-Duran, J.E. Candelo-Becerra i K. Cabana-Jimenez, "Distribution Network Reconfiguration with Large Number of Switches Solved by a Modified Binary Bat Algorithm and Improved Seed Population", Tehnički vjesnik, vol.26, br. 5, str. 1284-1291, 2019. [Online]. https://doi.org/10.17559/TV-20180525204445

Sažetak
The paper presents a methodology based on a Modified Binary Bat Algorithm (MBBA) and Improved Seed Population search that provides nearly optimal solutions to the power loss minimization problem, considering network reconfiguration and a large number of switches. The existence of many switches leads to a very large number of combinations, making it hard for algorithms to find a good solution. The proposed method is based on eliminating non-feasible solutions and defining an initial matrix with improved seed population for searching the optimal solution. This seed is used for the random process of the algorithm to produce new solutions and is continually updated to obtain better results close to the optimal solutions found during the searching process of the metaheuristic algorithm. This algorithm was tested against the Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and the Seed Population search alone on the modified versions of the IEEE 13-node test and IEEE 123-node test feeders. From several runs, the proposed method reached the optimal solution more times than the other algorithms and the remainder achieved near-optimal solutions. With this result, the MBBA provides good options to improve the solutions in the network reconfiguration problem with a large number of switches.

Ključne riječi
Bat Algorithm; Modified Binary Bat Algorithm; power loss minimization; power optimization; reconfiguration; Seed Population

Hrčak ID: 226010

URI
https://hrcak.srce.hr/226010

Posjeta: 103 *