UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 5 Issue 6
June-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1806583


Registration ID:
183931

Page Number

531-539

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Title

Artificial Neural Network based Control and Grid Integration of Residential Solar Photovoltaic Systems

Abstract

A residential solar PV array is usually connected to the distributed grid through a single-phase DC-AC inverter. Control of the single-phase PV system should maximize the power output from the PV array while ensuring overall system performance, safety, reliability, and controllability for interface with the electricity grid. The inverter must maintain a stable DC-link voltage in order to assure efficient and reliable MPPT operation, which is a challenging task especially under fast changing weather conditions. For optimal control and grid integration of residential solar PV systems an Artificial Neural Network (ANN) control strategy based on Approximate Dynamic Programming (ADP) is investigated. The combination of network weights and hyperbolic activation functions allows the ADP-ANN to be able to combine the advantages of proportional-integral (PI), PR, and other optimal control strategies together, making the ADP-ANN control more competitive and powerful than other control methods.

Key Words

Artificial Neural Networks, DC-AC power converters, DC-DC power converters, dynamic programming, maximum power point tracker, optimal control.

Cite This Article

"Artificial Neural Network based Control and Grid Integration of Residential Solar Photovoltaic Systems", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.531-539, June-2018, Available :http://www.jetir.org/papers/JETIR1806583.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Artificial Neural Network based Control and Grid Integration of Residential Solar Photovoltaic Systems", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp531-539, June-2018, Available at : http://www.jetir.org/papers/JETIR1806583.pdf

Publication Details

Published Paper ID: JETIR1806583
Registration ID: 183931
Published In: Volume 5 | Issue 6 | Year June-2018
DOI (Digital Object Identifier):
Page No: 531-539
Country: TIRUPATHI, ANDHRA PRADESH, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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