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)
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:
000204767
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