A Novel Hybrid GWO-BFO Approach For Load Frequency Control Problem

Suman Patel , Rajesh Patel

Automatic generation control (AGC), Integral square error (ISE), Area Control Error (ACE), Grey wolf optimizer (GWO) and Bacterial Foraging Optimization (BFO).

This paper analyzed a competitive way to solve load frequency control problems by means of Grey wolf Optimization (GWO) technique. The technique is an original meta-heuristic motivated by grey wolves. The arrangement of pecking and method of hunting of the grey wolves is emulated in GWO. In this paper two units of thermal system with reheat turbines are taken into consideration. The values that are integral gain, tie line power, frequency coefficient are taken into notice as the adjustable parameters. These parameters are anticipated all the way through optimization method with the plan to decrease the Area Control Error (ACE).The projected method shows the effectiveness to resolve load frequency control problems at a variety of operating circumstances. The gains of GWO are also being compared with hybrid technique GWO-BFO and it shows that optimized values with hybrid technique are better to solve load frequency control problems.

Published Paper   E-Certificate

"A Novel Hybrid GWO-BFO Approach For Load Frequency Control Problem", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.1, Issue 1, page no.13-19, November-2015, Available :https://ijsdr.org/papers/IJSDR1601003.pdf

Volume 1 Issue 1, November-2015

Pages : 13-19

Paper Reg. ID: IJSDR_160005

Published Paper Id: IJSDR1601003

Downloads: 000347056

Research Area: Engineering

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Published Paper PDF: https://ijsdr.org/papers/IJSDR1601003

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1601003

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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