Solving Optimal Reactive Power Dispatch Problem by Chaotic Based Brain Storm Optimization Algorithm

Journal of Applied Science, Engineering, Technology, and Education

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Field Value
 
Title Solving Optimal Reactive Power Dispatch Problem by Chaotic Based Brain Storm Optimization Algorithm
 
Creator Lenin, Kanagasabai
 
Description In this work Chaotic Predator-Prey Brain Storm Optimization (CPS) algorithm is proposed to solve optimal reactive power dispatch problem. Predator–Prey Brain Storm Optimization position cluster centers to execute as predators, accordingly it will progress towards enhanced positions, although the left over thoughts do as preys; consequently they move far from their neighboring predators. In the projected algorithm chaotic theory has been applied to enhance the quality of the exploration.  Ergodicity and indiscretion are utilized in the CPS algorithm, such that projected algorithm will not get trapped in the local optimal solution.  Chaotic predator-prey brain storm optimization (CPS) algorithm has been tested in standard IEEE 30 bus test system and results show the projected algorithm reduced the real power loss effectively.
 
Publisher Yayasan Ahmar Cendekia Indonesia
 
Date 2020-07-02
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://jurnal.ahmar.id/index.php/asci/article/view/113
10.35877/454RI.asci113
 
Source Journal of Applied Science, Engineering, Technology, and Education; Vol. 3 No. 2 (2021); 145-150
2685-0591
 
Language eng
 
Relation http://jurnal.ahmar.id/index.php/asci/article/view/113/105
 
Rights Copyright (c) 2021 Kanagasabai Lenin (Author)
https://creativecommons.org/licenses/by-nc-sa/4.0
 

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