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Improved Invasive Weed Optimization for Solving Optimal Reactive Power Problem

K. Lenin1

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-6 , Page no. 576-580, Jun-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i6.576580

Online published on Jun 30, 2018

Copyright © K. Lenin . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: K. Lenin , “Improved Invasive Weed Optimization for Solving Optimal Reactive Power Problem,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.576-580, 2018.

MLA Style Citation: K. Lenin "Improved Invasive Weed Optimization for Solving Optimal Reactive Power Problem." International Journal of Computer Sciences and Engineering 6.6 (2018): 576-580.

APA Style Citation: K. Lenin , (2018). Improved Invasive Weed Optimization for Solving Optimal Reactive Power Problem. International Journal of Computer Sciences and Engineering, 6(6), 576-580.

BibTex Style Citation:
@article{Lenin_2018,
author = {K. Lenin },
title = {Improved Invasive Weed Optimization for Solving Optimal Reactive Power Problem},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2018},
volume = {6},
Issue = {6},
month = {6},
year = {2018},
issn = {2347-2693},
pages = {576-580},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2224},
doi = {https://doi.org/10.26438/ijcse/v6i6.576580}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i6.576580}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2224
TI - Improved Invasive Weed Optimization for Solving Optimal Reactive Power Problem
T2 - International Journal of Computer Sciences and Engineering
AU - K. Lenin
PY - 2018
DA - 2018/06/30
PB - IJCSE, Indore, INDIA
SP - 576-580
IS - 6
VL - 6
SN - 2347-2693
ER -

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Abstract

This paper presents Improved Invasive Weed Optimization (IIWO) for solving optimal reactive power problem. Particle Swarm Optimization (PSO) has been combined with Invasive weed optimization (IWO) to enhance exploration & exploitation capability for solving the optimal reactive power Problem. In this paper, the idea of intelligent swarming, social cooperation, competition, and reproduction in an optimization meta-algorithm has been merged.In order to evaluate the efficiency of the proposed algorithm; it has been tested on IEEE 57 bus system and simulation results reveals about the best performance of the proposed algorithm in reducing the real power loss.

Key-Words / Index Term

Invasive weed, optimal reactive Power dispatch,Transmission loss

References

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