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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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  1/2018 - 13

 HIGH-IMPACT PAPER 

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
 
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Download PDF pdficon (1,380 KB) | Citation | Downloads: 1,009 | Views: 2,257

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
Web of Science Accession Number: 000426449500013
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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[6] Y. A. Hajizadeh, M. A. Golkar, A. Feliachi, "Voltage control and active power management of hybrid fuel-cell/energy-storage power conversion system under unbalanced voltage sag conditions," IEEE Transactions on Energy Converters, vol. 25, no.4, pp.1195-1208, 2010,
[CrossRef] [Web of Science Times Cited 81] [SCOPUS Times Cited 104]


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[9] T. Zaveri, B. Bhalja, N. Zaveri, "Comparison of control strategies for DSTATCOM in three-phase, four-wire distribution system for power quality improvement under various source voltage and load conditions," International Journal of Electric Power Energy System, vol.43, pp.582-594, 2012,
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[10] D. Kairus, R. Wamkeue, B. Belmadani, M. Benghanem, "Variable Structure Control of DFIG for Wind Power Generation and Harmonic Current Mitigation," Advances in Electrical and Computer Engineering, vol.10, no.4, pp.167-174, 2010,
[CrossRef] [Full Text] [Web of Science Times Cited 7] [SCOPUS Times Cited 9]


[11] S. Li, L. Xu, T. A. Haskew, "Control of VSC-based STATCOM using conventional and direct-current vector control strategies," International Journal of Electrical Power & Energy Systems, vol.45, no.1, pp.175-186, 2013,
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[12] S. Li, I. Jaithwa, R. Suftah, X. Fu, "Direct-current Vector Control of Three-phase Grid-connected Converter with L, LC, and LCL Filters," Electric Power Components and Systems, vol.43, no.14, pp.1644-1655, 2015.
[CrossRef] [Web of Science Times Cited 6] [SCOPUS Times Cited 7]


[13] A. L. Alhamdawee, N. F. Mailah, M. A. Radzi, S. B. Shafie, S. Hajighorbani, A. Q. Turki, "Comparison of developed FLC and P&O MPPT algorithms for improving PV system performance at variable irradiance conditions," World Journal of Engineering, vol. 13, no. 6, pp.494-499, 2016,
[CrossRef]


[14] A. Durusu, I. Nakir, A. Ajder, R. Ayaz, H. Akca, M. Tanrioven, "Performance Comparison of Widely-Used Maximum Power Point Tracker Algorithms under Real Environmental Conditions," Advances in Electrical and Computer Engineering, vol.14, no.3, pp.89-94, 2014,
[CrossRef] [Full Text] [Web of Science Times Cited 7] [SCOPUS Times Cited 8]


[15] F. Liu, Y. Zhou, S. Duan, J. Yin, B. Liu, F. Liu, "Parameter Design of a Two-Current-Loop Controller Used in a Grid-Connected Inverter System with LCL Filter," IEEE Transactions on Industrial Electronics, vol.56, no.11, pp.4483-4491, 2009,
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[CrossRef]




References Weight

Web of Science® Citations for all references: 2,571 TCR
SCOPUS® Citations for all references: 3,321 TCR

Web of Science® Average Citations per reference: 122 ACR
SCOPUS® Average Citations per reference: 158 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 2022-05-16 12:02 in 146 seconds.




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