UGC Approved Journal no 63975(19)
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ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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Published in:

Volume 9 Issue 6
June-2022
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2206023


Registration ID:
403577

Page Number

a189-a199

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Title

Interconnection of AC-DC microgrids in grid-connected hybrid microgrid using UIPC in Neural Networks

Abstract

This paper presents another methodology for power stream control of interconnected AC-DC microgrids in framework associated mixture microgrids dependent on actualizing an altered brought together interphase power regulator (UIPC). A normal matrix associated half breed microgrid including one AC microgrid and one DC microgrid is considered as examined framework. Rather than utilizing the equal associated power converters, these microgrids are interconnected utilizing an adjusted UIPC. As the principal commitment of this paper, the traditional structure of UIPC, which utilizes three force converters in each stage, is altered with the goal that a diminished number of intensity converters is executed for power trade control between AC-DC microgrids. The adjusted structure remembers one force converter for each stage, named as line power converter (LPC), and a force converter which manages the DC transport voltage, named as transport power converter (BPC) here. The AC microgrid is associated with the primary network through the LPCs which their DC transports are connected and can work in capacitance mode (CM) or inductance mode (IM). A fluffy rationale regulator is utilized in the control structure of the LPCs. The fluffy derivation framework is advanced dependent on H∞ sifting technique to lessen the blunders in enrollment capacities structure. Through the BPC, the DC voltage of LPCs is provided by the DC microgrid. In any case, since the DC microgrid voltage is given here by a PV framework, the DC interface voltage of the LPCs is fluctuating. Along these lines, as the subsequent commitment, to settle the DC connect variances, another nonlinear unsettling influence onlooker based hearty various surface sliding mode control (NDO-MS-SMC) procedure is introduced for DC side control of the BPC. The system response is also tested with Neural Network controller in place of existing fuzzy controller. The recreation results affirm the adequacy of the proposed power stream control technique of the improved UIPC for mixture microgrids.

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"Interconnection of AC-DC microgrids in grid-connected hybrid microgrid using UIPC in Neural Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.a189-a199, June-2022, Available :http://www.jetir.org/papers/JETIR2206023.pdf

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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

"Interconnection of AC-DC microgrids in grid-connected hybrid microgrid using UIPC in Neural Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppa189-a199, June-2022, Available at : http://www.jetir.org/papers/JETIR2206023.pdf

Publication Details

Published Paper ID: JETIR2206023
Registration ID: 403577
Published In: Volume 9 | Issue 6 | Year June-2022
DOI (Digital Object Identifier):
Page No: a189-a199
Country: Nellore, Andhra Pradesh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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