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Paper
Title

Factual power loss reduction by augmented monkey optimization algorithm

Year: 1399
COI: JR_RIEJ-9-1_001
Language: EnglishView: 40
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Authors

L. Kanagasabai - Department of EEE, Prasad V. Potluri Siddhartha Institute of Technology, Kanuru, Vijayawada, India.

Abstract:

This paper presents Augmented Monkey Optimization Algorithm (AMOA) applied to solve optimal reactive power problem. Communal behaviour of monkeys has been utilized to model the algorithm. Normally, group monkeys assess the distance from the source to food for foraging behaviour. Local leader renews its most excellent location inside the group, when the food source is not rationalized then the group will start probing in different directions for the food sources. Two most important control parameters are Global Leader Limit (GLlimit) and Local Leader Limit (LLlimit) which give appropriate way to global and local leaders correspondingly. Levy flight has been intermingled in the algorithm to enhance the search ability. Proposed AMOA accelerates the exploitation ability that has been tested in standard IEEE ۱۴, ۳۰, ۵۷,۱۱۸,۳۰۰ bus test systems. The simulation results show the projected algorithm reduced the real power loss comprehensively.

Keywords:

Optimal reactive power, Transmission Loss, Augmented Monkey Optimization Algorithm

Paper COI Code

This Paper COI Code is JR_RIEJ-9-1_001. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/1186265/

How to Cite to This Paper:

If you want to refer to this Paper in your research work, you can simply use the following phrase in the resources section:
Kanagasabai, L.,1399,Factual power loss reduction by augmented monkey optimization algorithm,https://civilica.com/doc/1186265

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