IJRTI
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.14

Issue per Year : 12

Volume Published : 10

Issue Published : 115

Article Submitted : 19440

Article Published : 8041

Total Authors : 21252

Total Reviewer : 769

Total Countries : 144

Indexing Partner

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: Automatic Generation Control of Isolated Hybrid Power System Using GWO
Authors Name: K.Kotaiah Chowdary , M.Sunil Kumar
Download E-Certificate: Download
Author Reg. ID:
IJRTI_188598
Published Paper Id: IJRTI2312001
Published In: Volume 8 Issue 12, December-2023
DOI:
Abstract: The main aim of the paper is to design a load frequency controller for an Isolated Hybrid Power system. The isolated hybrid power system presented in this paper uses renewable sources for power generation and a storage system feeding load to a remote island. The studied system comprises of wind-turbine generators (WTGs) and wave energy turbine generators (WETGs) for power production and a compressed air energy storage (CAES) system for storage. It can be verified from the simulation results that the isolated-hybrid system feeding load can stably operated to attain power and frequency stability by using Proportional Integral (PI) and Proportional Integral Derivative (PID) Controllers. The Gains of the controller are obtained from a novel optimization technique named as Grey Wolf Optimization (GWO).
Keywords: Grey Wolf Optimization (GWO), Load frequency controller, Hybrid power system, Wave energy, Wind turbine generator.
Cite Article: "Automatic Generation Control of Isolated Hybrid Power System Using GWO", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 12, page no.1 - 6, December-2023, Available :http://www.ijrti.org/papers/IJRTI2312001.pdf
Downloads: 000205114
ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2312001
Registration ID:188598
Published In: Volume 8 Issue 12, December-2023
DOI (Digital Object Identifier):
Page No: 1 - 6
Country: Eluru, Andhra Pradesh, India
Research Area: Electrical Engineering 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2312001
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2312001
Share Article:

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijrti.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

ISSN Details

ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI.ONE
How to Get DOI?

Conference

Open Access License Policy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Join RMS/Earn 300

IJRTI

WhatsApp
Click Here

Indexing Partner