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International Journal of Research -GRANTHAALAYAH
Article . 2018 . Peer-reviewed
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ZENODO
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ZENODO
Article . 2018
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REDUCTION OF ACTIVE POWER LOSS BY COYOTE SEARCH ALGORITHM

Authors: Dr. K. Lenin;

REDUCTION OF ACTIVE POWER LOSS BY COYOTE SEARCH ALGORITHM

Abstract

This paper presents Coyote Search Algorithm (CSA) for solving optimal reactive power problem. Coyote Search Algorithm is a new bio – inspired heuristic algorithm which based on coyote preying behaviour. The way coyote search for food and survive by avoiding their enemies has been imitated to formulate the algorithm for solving the reactive power problem. And the specialty of coyote is possessing both individual local searching ability & autonomous flocking movement and this special property has been utilized to formulate the search algorithm. The proposed Coyote Search Algorithm (CSA) has been tested on standard IEEE 57 bus test system and simulation results shows clearly about the good performance of the proposed algorithm in reducing the real power loss.

Keywords

Coyote Search Algorithm; Optimal Reactive Power; Transmission Loss.

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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