IJNRD Research Journal

WhatsApp
Click Here

WhatsApp editor@ijnrd.org
IJNRD
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (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 : 8.76

Issue per Year : 12

Volume Published : 9

Issue Published : 96

Article Submitted :

Article Published :

Total Authors :

Total Reviewer :

Total Countries :

Indexing Partner

Join RMS/Earn 300

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: POWER MANAGEMENT SYSTEM OF A MODIFIED PSO CONTROLLED GRID INTEGRATED HYBRID DISTRIBUTED GENERATION SYSTEM
Authors Name: SREERAMOJU UMAMAHESWARI , VEENAVANKA GANESH , BODDULA VARUN , CHAPARTHY AKSHAY KHANNA , T. PRAVEEN KUMAR
Download E-Certificate: Download
Author Reg. ID:
IJNRD_220229
Published Paper Id: IJNRD2404884
Published In: Volume 9 Issue 4, April-2024
DOI:
Abstract: In this project, we suggest a power management system for a grid-integrated system having hybrid distributed generation system using the Modified Particle Swarm Optimization (MPSO) algorithm. The hybrid DG system incorporates solar PV panels, wind turbines, fuel cells, and batteries. Depending on the utilization of these hybrid sources and variations in power production, the DG system experiences fluctuations in power output. The main aim of our proposed method is to optimize the active and also reactive power flow (PF) between the source and grid. We achieve this by employing the Modified Particle Swarm Optimization method in the power system control, maximizing Powerflow and ensuring efficient operation. Our method also considers load requirements and maintains load sensitivity during battery charging and discharging. By allowing maximum power flow, the proposed MPSO method enhances the DG system’s performance. To evaluate power flow (PF), we analyze equality and inequality constraints, which help to find availability of renewable energy sources (RES), power demand, and charge levels in storage devices. Additionally, the proposed MPSO method contributes to power system protection. We validate our approach through MATLAB/Simulink simulations, comparing various parameters and efficiencies with existing algorithms.
Keywords: MICRO GRID, HYBRID DISTRIBUTED GENRATION, MPSO ALGORITHM
Cite Article: "POWER MANAGEMENT SYSTEM OF A MODIFIED PSO CONTROLLED GRID INTEGRATED HYBRID DISTRIBUTED GENERATION SYSTEM", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.i762-i772, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404884.pdf
Downloads: 00027
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 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:IJNRD2404884
Registration ID: 220229
Published In: Volume 9 Issue 4, April-2024
DOI (Digital Object Identifier):
Page No: i762-i772
Country: KHAMMAM, TELANAGANA, India
Research Area: Electrical Engineering 
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2404884
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2404884
Share Article:
Share

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijnrd.org
Semantic Scholar Microsaoft Academic ORCID Zenodo
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX PUBLON
DRJI SSRN Scribd DocStoc

ISSN Details

ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


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

Social Media

Licence

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

Join RMS/Earn 300

IJNRD