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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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LATEST NEWS

2017-Jun-14
Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

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  1/2018 - 13

Parameter Improved Particle Swarm Optimization Based Direct-Current Vector Control Strategy for Solar PV System

NAMMALVAR, P. See more information about NAMMALVAR, P. on SCOPUS See more information about NAMMALVAR, P. on IEEExplore See more information about NAMMALVAR, P. on Web of Science, RAMKUMAR, S. See more information about RAMKUMAR, S. on SCOPUS See more information about RAMKUMAR, S. on SCOPUS See more information about RAMKUMAR, S. on Web of Science
 
Click to see author's profile on See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (1,380 KB) | Citation | Downloads: 210 | Views: 78

Author keywords
solar energy, particle swarm optimization, optimal control, power conditioning, microgrids

References keywords
power(22), control(10), systems(7), energy(7), grid(6), current(6), voltage(5), system(5), generation(5), connected(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2018-02-28
Volume 18, Issue 1, Year 2018, On page(s): 105 - 112
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2018.01013
SCOPUS ID: 85043243615

Abstract
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This paper projects Parameter Improved Particle Swarm Optimization (PIPSO) based direct current vector control technology for the integration of photovoltaic array in an AC micro-grid to enhance the system performance and stability. A photovoltaic system incorporated with AC micro-grid is taken as the pursuit of research study. The test system features two power converters namely, PV side converter which consists of DC-DC boost converter with Perturbation and Observe (P&O) MPPT control to reap most extreme power from the PV array, and grid side converter which consists of Grid Side-Voltage Source Converter (GS-VSC) with proposed direct current vector control strategy. The gain of the proposed controller is chosen from a set of three values obtained using apriori test and tuned through the PIPSO algorithm so that the Integral of Time multiplied Absolute Error (ITAE) between the actual and the desired DC link capacitor voltage reaches a minimum and allows the system to extract maximum power from PV system, whereas the existing d-q control strategy is found to perform slowly to control the DC link voltage under varying solar insolation and load fluctuations. From simulation results, it is evident that the proposed optimal control technique provides robust control and improved efficiency.


References | Cited By  «-- Click to see who has cited this paper

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[CrossRef]




References Weight

Web of Science® Citations for all references: 1,665 TCR
SCOPUS® Citations for all references: 2,192 TCR

Web of Science® Average Citations per reference: 79 ACR
SCOPUS® Average Citations per reference: 104 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2018-06-22 10:41 in 150 seconds.




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Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.

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