Power loss minimization load flow studies using Artificial Bee Colony swarm intelligence technique

Autor:	Emmanuel N. Osegi, Matthew Babatunde Olajide, Biobele A. Wokoma, Zaid Oluwadurotimi Jagun
Jazyk:	angličtina
Rok vydání:	2021
Předmět:	Power transmission Mathematical optimization Electric power system Computer science Process (computing) Load flow analysis (LFA) maxcycle optimization power system swarm intelligence Context (language use) Power-flow study Minification Sensitivity (control systems) Swarm intelligence
Zdroj:	Nigerian Journal of Technology; Vol. 40 No. 4 (2021); 728-731
ISSN:	0331-8443 2467-8821
Popis:	This paper presents the capability of an emerging swarm intelligence technique for power loss minimization known as the Artificial Bee Colony (ABC) used in the context of an Alternative Load Flow Analysis (LFA) technique (ABC-LFA) for the solution of a power systems network. Studies are performed considering the effect of an important parameter of the ABC, the “maxcycle” on the LFA process; experiments are conducted by applying the ABC-LFA to the Western System Coordinated Council (WSCC) 3-machine 9- bus power system and a section of the Nigerian 132-kV power transmission network Port-Harcourt Region (NPHC-132), and the results reported. The results indicate that increasing the value of the ABC “maxcycle” parameter has a pronounced effect on the results obtained by the ABC-LFA. The results also indicate the sensitivity of the ABC to low values of maxcycle parameter.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72d5bf191b70d5e4baf3fd89fa3da503 https://www.ajol.info/index.php/njt/article/view/216647 Zobrazit plný text záznamu