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Factual Power Loss Diminution by Enriched Artificial Fish Swarm Algorithm

Date: May 8,2020 |Hits: 6870 Download PDF How to cite this paper

Kanagasabai Lenin

Department of EEE, Prasad V. Potluri Siddhartha Institute of Technology, Kanuru, Vijayawada, Andhra Pradesh -520007, India.

*Corresponding author: Kanagasabai Lenin, Department of EEE, Prasad V. Potluri Siddhartha Institute of Technology, Kanuru, Vijayawada, Andhra Pradesh -520007, India.


In this work Enriched Artificial Fish swarm (EAFS) algorithm is projected to solve optimal reactive power problem. In the proposed algorithm, food concentration function, bulletin board approach, target position search mechanism, and position move method are utilized. Subsequently, an adjustment strategy of exploration range of artificial fish, which merge the global search with local search, is projected to enhance the explore capability of the projected algorithm. Every artificial fish will execute the swarming behavior, following behavior and foraging behavior in order to discover the goal move position Xinext with the superior food concentration. The position with the uppermost food concentration of the new-fangled positions (Xnext1, Xnext2 andXnext3) are found by these behaviours’ is used as Xinext. Proposed Enriched Artificial Fish swarm (EAFS) algorithm has been tested in standard IEEE 14, 30, 57,118,300 bus test systems and simulation results show the projected algorithm reduced the real power loss comprehensively.


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How to cite this paper

Factual Power Loss Diminution by Enriched Artificial Fish Swarm Algorithm

How to cite this paper: Kanagasabai Lenin. (2020) Factual Power Loss Diminution by Enriched Artificial Fish Swarm Algorithm. Journal of Electrical Power & Energy Systems, 4(1), 1-10.

DOI: http://dx.doi.org/10.26855/jepes.2020.05.001

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