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ReserarchID
03H96
In this paper, Kidney Search (KS) algorithm is proposed for solving reactive power problem. When using KS algorithm, solutions are rated based on the average value of the objective function in a particular population of particular round. Optimal solutions are identified in the filtered blood and the rest are considered as inferior solutions. As the algorithm proposed by the name of kidney, it reproduces various processes from the system of a biological kidney. Proposed Kidney search (KS) algorithm has been tested on standard IEEE 30 bus test system and simulation results show clearly about the better performance of the proposed KS algorithm in reducing the real power loss.
Dr.K.Lenin. 2017. \u201cReal Power Loss Reduction by Revolutionary Algorithm\u201d. Global Journal of Research in Engineering - F: Electrical & Electronic GJRE-F Volume 17 (GJRE Volume 17 Issue F5): .
Crossref Journal DOI 10.17406/gjre
Print ISSN 0975-5861
e-ISSN 2249-4596
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Total Score: 106
Country: India
Subject: Global Journal of Research in Engineering - F: Electrical & Electronic
Authors: Dr.K.Lenin (PhD/Dr. count: 1)
View Count (all-time): 221
Total Views (Real + Logic): 3409
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Publish Date: 2017 10, Mon
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In this paper, Kidney Search (KS) algorithm is proposed for solving reactive power problem. When using KS algorithm, solutions are rated based on the average value of the objective function in a particular population of particular round. Optimal solutions are identified in the filtered blood and the rest are considered as inferior solutions. As the algorithm proposed by the name of kidney, it reproduces various processes from the system of a biological kidney. Proposed Kidney search (KS) algorithm has been tested on standard IEEE 30 bus test system and simulation results show clearly about the better performance of the proposed KS algorithm in reducing the real power loss.
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