Active power loss diminution by Greenland wolf optimization algorithm

In this work, Greenland Wolf Optimization (GW) algorithm has been applied for real power loss reduction. Natural actions of the Greenland wolf have been mimicked to design the GW algorithm. Greenland wolf found in North West of green land and typical size of the pack is three. Arctic hares, musk oxe...

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Bibliographic Details
Main Author: Lenin Kanagasabai
Format: Article in Journal/Newspaper
Language:English
Published: Ayandegan Institute of Higher Education, Iran 2020
Subjects:
optimal reactive power
transmission loss
greenland wolf optimization
Industrial engineering. Management engineering
T55.4-60.8
Arctic
Greenland
Online Access:https://doi.org/10.22105/JARIE.2020.229824.1162
https://doaj.org/article/1dbdc959cc134fcbbc81a00e98ee579c
Description
Summary:In this work, Greenland Wolf Optimization (GW) algorithm has been applied for real power loss reduction. Natural actions of the Greenland wolf have been mimicked to design the GW algorithm. Greenland wolf found in North West of green land and typical size of the pack is three. Arctic hares, musk oxen, and lemmings are main prey for green land wolf and they migrate with respect to availability of food resources. Through flag vector, position, and velocity updating property Exploration, Exploitation capability of the algorithm has been enhanced. Proposed GW algorithm has been tested in standard IEEE 118 bus test system and results show the best performance of the GW algorithm in reducing the real power loss efficiently.

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