Simulation and Analysis of Technique for Fast Detection of Short Circuit Current in Solar PV System

Registration ID: IJNRD_180252

Published ID: IJNRD1905004

DOI: Click Here to Get

Varnagar Divyeshkumar Rameshbhai , Prof. Nirav B Mehta , Pandya Bhavin Jayantilal , Dudhrejiya Sachin Maheshbhai

Solar Photovoltaic system, Incremental Conductance MPPT, DC-DC converter,Solar Photovoltaic (SPV), Photovoltaic(PV) cell, Inverter

This paper focus on the grid connected solar photovoltaic energy conversion system modeling and control in MATLAB Software. In the modeling part photovoltaic systems have SPV array, boost converter, MPPT technique, inverter, filter and transformer. It also shows the detailed representation of the main components of the SPV system. This paper proposes a new fast technique in which the slope of a PV inverter current is utilized to predict if the current is expected to exceed its rated value due to any grid faults. Two applications of this technique are demonstrated. This paper will help the researchers to understand the method available for grid integration of solar photovoltaic system as well as to model and control such system for better results.

Published Paper   E-Certificate

Varnagar Divyeshkumar Rameshbhai, Prof. Nirav B Mehta, Pandya Bhavin Jayantilal, & Dudhrejiya Sachin Maheshbhai (May-2019). Simulation and Analysis of Technique for Fast Detection of Short Circuit Current in Solar PV System. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 4(5), 26-36. https://ijnrd.org/papers/IJNRD1905004.pdf

Volume 4 Issue 5, May-2019

Pages : 26-36

Paper Reg. ID: IJNRD_180252

Published Paper Id: IJNRD1905004

Downloads: 000121988

Research Area: Electrical Engineering 

Country: Rajkot, Gujarat, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD1905004.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD1905004

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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