Please use this identifier to cite or link to this item: https://essuir.sumdu.edu.ua/handle/123456789/86561
Or use following links to share this resource in social networks: Recommend this item
Title Real power loss reduction by enhanced RBS algorithm
Authors Kanagasabai, L.
ORCID
Keywords optimal
reactive
transmission
sine-cosine algorithm
opposition
Type Article
Date of Issue 2021
URI https://essuir.sumdu.edu.ua/handle/123456789/86561
Publisher Sumy State University
License Creative Commons Attribution 4.0 International License
Citation Kanagasabai L. (2021). Real power loss reduction by enhanced RBS algorithm. Journal of Engineering Sciences, Vol. 8(2), pp. E1-E9, doi: 10.21272/jes.2021.8(2).e1
Abstract In this paper enhanced red-breasted sapsucker (ERBS) algorithm has been proposed to solve the power loss lessening problem. RBS algorithm is designed on the copulate actions of RBS. Male RBS (MRBS) will attract the female with an exclusive tone. Concerning the concentration of the tone female RBS (FMBS) will progress in the direction of the MRBS. Various tone engendered by MRBS will catch the fancy of FRBS, and this action is analogous to data contribution in Evolutionary techniques. Naturally, so many MRBS will put huge efforts simultaneously to attract the FRBS for copulate. RBS has been integrated with the sine-cosine algorithm (SCA) and opposition-based learning (OBL). SCA process shifts resourcefully from exploration to exploitation by acclimatizing the functions. Solutions are frequently streamlined to the premium solution and optimization of the premium region of the exploration zone. OBL is one of the significant optimization procedures to improve the convergence pace of different optimization procedures. The successful execution of the OBL holds the assessment of the opposite population and present population in the analogous generation to find out the better contender solution. The proposed enhanced RBS (ERBS) algorithm is corroborated in IEEE 30 bus test systems. Power discrepancy compressed, power reliability amplified, and power loss condensed.
Appears in Collections: Journal of Engineering Sciences / Журнал інженерних наук

Views

Algeria Algeria
1
Australia Australia
895570079
China China
2739533
Finland Finland
212
Germany Germany
6343925
Greece Greece
3501
Hong Kong SAR China Hong Kong SAR China
322298
India India
219
Iran Iran
1
Iraq Iraq
1
Ireland Ireland
6343927
Lithuania Lithuania
1
Sweden Sweden
6343930
Ukraine Ukraine
50649385
United Kingdom United Kingdom
25324693
United States United States
1791140155
Unknown Country Unknown Country
50649384
Vietnam Vietnam
3503

Downloads

Algeria Algeria
216
China China
1
Germany Germany
25324690
India India
1
Ireland Ireland
1
Lithuania Lithuania
1
Netherlands Netherlands
1
Pakistan Pakistan
1
Romania Romania
1
South Africa South Africa
1
Ukraine Ukraine
1
United Arab Emirates United Arab Emirates
598121045
United Kingdom United Kingdom
1
United States United States
1791140156
Unknown Country Unknown Country
1
Vietnam Vietnam
1

Files

File Size Format Downloads
Kanagasabai_jes_2_2021.pdf 545.54 kB Adobe PDF -1880381177

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.