International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 6 November-December 2024 Submit your research before last 3 days of December to publish your research paper in the issue of November-December.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 6 Issue 6
November-December 2024

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Optimizing Solar Potential: A Literature Review on Advanced MPPT Techniques via Fuzzy Logic and Soft Computing

Author(s) Mr. Suman Patra
Country India
Abstract This article is on the trends of change in MPPT techniques for solar energy systems, where the focus has been shifted from traditional approaches to new methods by integrating fuzzy logic and soft computing. Solar energy is one of the greatest renewable energy sources; it needs efficient conversion and storage solutions for sustainability goals of energy on a global level. Traditional MPPT techniques have seen it as a headache in dealing with the dynamic and variable nature of solar irradiance. However, significant works in the last decade have put milestones on the use of fuzzy logic and soft computing for the MPPT and reported improved performance of the system under changing environmental conditions. This paper reviews recent, so-called advanced design and analysis techniques comparatively with their traditional counterparts and offers pragmatic implications of such advances. It further explores the possibilities of integration of AI (Artificial Intelligence) and ML (Machine Learning) with MPPT, emerging solar panel technologies, and importance of broader acceptance - scalability and system integration. The review concluded with areas of recommendations for further research and reiterated the user-friendliness, cost-effectiveness, and scalability of MPPT solutions. Study results contribute toward an effort to optimize solar energy systems and point out that this is highly critical for bringing solutions to the global renewable energy mix.
Keywords Solar Energy Optimization, Maximum Power Point Tracking (MPPT), Fuzzy Logic, Soft Computing Techniques, Photovoltaic (PV) Systems Efficiency
Field Physics
Published In Volume 6, Issue 2, March-April 2024
Published On 2024-04-17
Cite This Optimizing Solar Potential: A Literature Review on Advanced MPPT Techniques via Fuzzy Logic and Soft Computing - Mr. Suman Patra - IJFMR Volume 6, Issue 2, March-April 2024. DOI 10.36948/ijfmr.2024.v06i02.17564
DOI https://doi.org/10.36948/ijfmr.2024.v06i02.17564
Short DOI https://doi.org/gtrfk6
View / Download PDF File

Share this



E-ISSN 2582-2160
CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 6 Isu 6Cover Page Vol 6 Isu 5Cover Page Vol 6 Isu 4

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJFMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9898-5948-55 editor@ijfmr.com