Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/104710
Title: Filter Feeding Allogenic Engineering Optimization Algorithm for Economic Dispatch
Authors: Mbae Ariel Mutegi
Nwulu Nnamdi
Issue Date: 2021
Publisher: Ural Federal University
WIT Press
Уральский федеральный университет
Citation: Mbae Ariel Mutegi. Filter Feeding Allogenic Engineering Optimization Algorithm for Economic Dispatch / Mbae Ariel Mutegi; Nwulu Nnamdi // International Journal of Energy Production and Management. — 2021. — Vol. 6. Iss. 2. — P. 113–128.
Abstract: The main objective of the economic dispatch problem in a power system is to minimize the total thermal fuel cost of the committed generators while satisfying the various system equality and inequality operational constraints. This research developed a new optimization algorithm, named the filter feeding allogenic engineering algorithm, for use in solving the economic dispatch problem. This meta-heuristic algorithm has been inspired by the filter feeding and motile behaviour of allogenic engineers. The newly developed algorithm was formulated using the Matlab software environment, and its performance was tested using the IEEE 39-Bus, 10-Generator system. A comparative analysis was also conducted with the Ant lion optimization heuristic algorithm, and the obtained results indicate that the filter feeding allogenic engineering algorithm yields superior performance.
Keywords: ALLOGENIC ENGINEERING
CONSTRAINTS
ECONOMIC DISPATCH
HEURISTIC AND OPTIMIZATION
URI: http://elar.urfu.ru/handle/10995/104710
RSCI ID: https://elibrary.ru/item.asp?id=46633231
ISSN: 2056-3272
2056-3280
DOI: 10.2495/EQ-V6-N2-113-128
Origin: International Journal of Energy Production and Management. 2021. Vol. 6. Iss. 2
Appears in Collections:International Journal of Energy Production and Management

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