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 : 9

Issue Published : 93

Article Submitted : 9866

Article Published : 5018

Total Authors : 13224

Total Reviewer : 557

Total Countries : 93

Indexing Partner


This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: A Review Article of Analysis Optimal sizing of a standalone microgrid system
Authors Name: Amit Patidar , Dr. Arvind Kumar Sharma
Download E-Certificate: Download
Author Reg. ID:
Published Paper Id: IJRTI2201015
Published In: Volume 7 Issue 1, January-2022
Abstract: This paper focuses on the minimization of the overall cost (installation plus annual maintenance cost) of the hybrid standalone system using the advantages of bio-inspired optimization techniques and mathematical modelling of considered energy sources (Photovoltaic, wind, battery, and diesel generator) of the system. The system operation is managed in such a way that the system can harvest the maximum amount of energy from renewable sources and the diesel generators are utilized in the case when renewable sources are failed to meet the load demand. The analysis is carried out by considering Gaussian distributed hourly load demand. The monte-Carlo simulation is carried out to verify the system robustness with the derived optimal number of renewable sources considering the uncertainties of wind speed and solar irradiation over the period. Finally, a plot of the probability of failure vs unmet load is generated using the software MATLAB to support the results of the Monte-Carlo simulation.
Keywords: mathematical modeling, bio-inspired optimization, Monte-Carlo simulation, probability of failure.
Cite Article: "A Review Article of Analysis Optimal sizing of a standalone microgrid system", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 1, page no.102 - 105, January-2022, Available :http://www.ijrti.org/papers/IJRTI2201015.pdf
Downloads: 000202634
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: IJRTI2201015
Registration ID:181680
Published In: Volume 7 Issue 1, January-2022
DOI (Digital Object Identifier):
Page No: 102 - 105
Country: dewas, madhyapradesh, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2201015
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2201015
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?


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

Social Media

Join RMS/Earn 300


Indexing Partner