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JCR Impact Factor: 0.699
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Issues per year: 4
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Next issue: Feb 2019
Avg review time: 80 days


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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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2018-Jun-27
Clarivate Analytics published the InCites Journal Citations Report for 2017. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.699, and the JCR 5-Year Impact Factor is 0.674.

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.

2017-Feb-16
With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "BigData - " before the paper title in OpenConf.

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  4/2017 - 12

Distributed Reactive Power Control based Conservation Voltage Reduction in Active Distribution Systems

EMIROGLU, S. See more information about EMIROGLU, S. on SCOPUS See more information about EMIROGLU, S. on IEEExplore See more information about EMIROGLU, S. on Web of Science, UYAROGLU, Y. See more information about  UYAROGLU, Y. on SCOPUS See more information about  UYAROGLU, Y. on SCOPUS See more information about UYAROGLU, Y. on Web of Science, OZDEMIR, G. See more information about OZDEMIR, G. on SCOPUS See more information about OZDEMIR, G. on SCOPUS See more information about OZDEMIR, G. on Web of Science
 
Click to see author's profile in 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 (1,570 KB) | Citation | Downloads: 340 | Views: 859

Author keywords
energy conservation, reactive power control, renewable energy sources, smart grids, voltage control

References keywords
power(40), systems(20), voltage(17), distribution(16), smart(11), energy(11), control(10), grid(9), distributed(9), reduction(8)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2017-11-30
Volume 17, Issue 4, Year 2017, On page(s): 99 - 106
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2017.04012
Web of Science Accession Number: 000417674300012
SCOPUS ID: 85035760762

Abstract
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This paper proposes a distributed reactive power control based approach to deploy Volt/VAr optimization (VVO) / Conservation Voltage Reduction (CVR) algorithm in a distribution network with distributed generations (DG) units and distribution static synchronous compensators (D-STATCOM). A three-phase VVO/CVR problem is formulated and the reactive power references of D-STATCOMs and DGs are determined in a distributed way by decomposing the VVO/CVR problem into voltage and reactive power control. The main purpose is to determine the coordination between voltage regulator (VR) and reactive power sources (Capacitors, D-STATCOMs and DGs) based on VVO/CVR. The study shows that the reactive power injection capability of DG units may play an important role in VVO/CVR. In addition, it is shown that the coordination of VR and reactive power sources does not only save more energy and power but also reduces the power losses. Moreover, the proposed VVO/CVR algorithm reduces the computational burden and finds fast solutions. To illustrate the effectiveness of the proposed method, the VVO/CVR is performed on the IEEE 13-node test system feeder considering unbalanced loading and line configurations. The tests are performed taking the practical voltage-dependent load modeling and different customer types into consideration to improve accuracy.


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

[1] S. Civanlar and J. J. Grainger, "Volt/Var Control on Distribution Systems with Lateral Branches Using Shunt Capacitors and Voltage Regulators Part II: The Solution Method," IEEE Transactions on Power Apparatus and Systems, vol. PAS-104, no. 11, pp. 3284-3290, Nov. 1985.
[CrossRef] [Web of Science Times Cited 40] [SCOPUS Times Cited 70]


[2] H. Ahmadi, J. R. Marti, and H. W. Dommel, "A Framework for Volt-VAR Optimization in Distribution Systems," IEEE Transactions on Smart Grid, vol. 6, no. 3, pp. 1473-1483, May 2015.
[CrossRef] [Web of Science Times Cited 34] [SCOPUS Times Cited 42]


[3] S. Singh, A. K. Thakur, S. P. Singh, "Energy savings in distribution network with smart grid-enabled CVR and distributed generation," in Proc. National Power Systems Conference, India, 2016.
[CrossRef] [SCOPUS Times Cited 4]


[4] J. Sandraz et al., "Energy and Economic Impacts of the Application of CVR in Heavily Meshed Secondary Distribution Networks," IEEE Transactions on Power Delivery, vol. 29, no. 4, pp. 1692-1700, Aug. 2014.
[CrossRef] [Web of Science Times Cited 8] [SCOPUS Times Cited 8]


[5] M. A. Peskin, P. W. Powell, E. J. Hall, "Conservation voltage reduction with feedback from advanced metering infrastructure," in Proc. IEEE Power Eng. Soc. Transm. Distrib. Conf., Florida, 2012, pp. 1-8.
[CrossRef] [SCOPUS Times Cited 26]


[6] R. H. F. Kennedy, Barry W, "Conservation voltage reduction (CVR) at Snohomish County PUD," IEEE Trans. Power Syst., vol. 6, no. 3, pp. 986-998, August 1991.
[CrossRef] [Web of Science Times Cited 36] [SCOPUS Times Cited 53]


[7] W. Ellens, A. Berry, S. West, "A quantification of the energy savings by conservation voltage reduction," in Proc. IEEE Int. Conf. Power Syst. Technol., New Zealand, 2012, pp. 1-6.
[CrossRef] [SCOPUS Times Cited 29]


[8] A. Bokhari et al., "Experimental Determination of the ZIP Coefficients for Modern Residential, Commercial, and Industrial Loads," IEEE Transactions on Power Delivery, vol. 29, no. 3, pp. 1372-1381, Jun. 2014.
[CrossRef] [Web of Science Times Cited 72] [SCOPUS Times Cited 88]


[9] D. M. Lauria, "Conservation Voltage Reduction (CVR) at Northeast Utilities," IEEE Power Engineering Review, vol. PER-7, no. 10, pp. 58-59, Oct. 1987.
[CrossRef] [SCOPUS Times Cited 2]


[10] S. Lefebvre, et al., "Measuring the efficiency of voltage reduction at Hydro-Quebec distribution," in Proc. IEEE Power Energy Soc. Gen. Meet. Convers. Deliv. Electr. Energy 21st Century, Pittsburgh, 2008, pp. 1-7.
[CrossRef] [SCOPUS Times Cited 43]


[11] S. M. Moghaddas-Tafreshi and E. Mashhour, "Distributed generation modeling for power flow studies and a three-phase unbalanced power flow solution for radial distribution systems considering distributed generation," Electric Power Systems Research, vol. 79, no. 4, pp. 680-686, Apr. 2009.
[CrossRef] [Web of Science Times Cited 97] [SCOPUS Times Cited 145]


[12] P. Wlodarczyk, A. Sumper, and M. Cruz, "Voltage Control of Distribution Grids with Multi-Microgrids Using Reactive Power Management," Advances in Electrical and Computer Engineering, vol. 15, no. 1, pp. 83-88, 2015.
[CrossRef] [Full Text] [Web of Science Times Cited 5] [SCOPUS Times Cited 5]


[13] A. Bokhari et al., "Combined Effect of CVR and DG Penetration in the Voltage Profile of Low-Voltage Secondary Distribution Networks," IEEE Transactions on Power Delivery, vol. 31, no. 1, pp. 286-293, Feb. 2016.
[CrossRef] [Web of Science Times Cited 14] [SCOPUS Times Cited 18]


[14] Standards Coordinating Committee 21, "IEEE standard for interconnecting distributed resources with electric power systems," Technology, IEEE, New York, July 2003.
[CrossRef]


[15] IEEE Standards Coordinating Committee 21, "IEEE standard for interconnecting distributed resources with electric power systems amendment 1," IEEE, New York, pp. 1-207, May 2014.
[CrossRef]


[16] A. Cagnano, E. De Tuglie, M. Liserre, and R. A. Mastromauro, "Online Optimal Reactive Power Control Strategy of PV Inverters," IEEE Transactions on Industrial Electronics, vol. 58, no. 10, pp. 4549-4558, Oct. 2011.
[CrossRef] [Web of Science Times Cited 124] [SCOPUS Times Cited 153]


[17] R. J. Bravo, S. A. Robles, T. Bialek, "VAr support from solar PV inverters," in Proc. 40th IEEE Photovoltaic Specialists Conference, Colorado, 2014, pp.2672-2676.
[CrossRef] [SCOPUS Times Cited 3]


[18] B. Bakhshideh Zad, H. Hasanvand, J. Lobry, and F. Vallée, "Optimal reactive power control of DGs for voltage regulation of MV distribution systems using sensitivity analysis method and PSO algorithm," International Journal of Electrical Power & Energy Systems, vol. 68, pp. 52-60, Jun. 2015.
[CrossRef] [Web of Science Times Cited 24] [SCOPUS Times Cited 35]


[19] Z. Shen, M. E. Baran, "Gradient based centralized optimal Volt/Var control strategy for smart distribution system," in Proc. IEEE PES Innovative Smart Grid Technologies (ISGT), Washington, 2013, pp. 1-6.
[CrossRef] [SCOPUS Times Cited 24]


[20] A. Castillo, P. Lipka, J.-P. Watson, S. S. Oren, and R. P. O’Neill, "A successive linear programming approach to solving the IV-ACOPF," IEEE Transactions on Power Systems, vol. 31, no. 4, pp. 2752-2763, Jul. 2016.
[CrossRef] [Web of Science Times Cited 17] [SCOPUS Times Cited 20]


[21] A. Padilha-Feltrin, D. A. Quijano Rodezno, and J. R. S. Mantovani, "Volt-VAR Multiobjective Optimization to Peak-Load Relief and Energy Efficiency in Distribution Networks," IEEE Transactions on Power Delivery, vol. 30, no. 2, pp. 618-626, Apr. 2015.
[CrossRef] [Web of Science Times Cited 33] [SCOPUS Times Cited 38]


[22] W. Zhang, W. Liu, X. Wang, L. Liu, and F. Ferrese, "Distributed Multiple Agent System Based Online Optimal Reactive Power Control for Smart Grids," IEEE Transactions on Smart Grid, vol. 5, no. 5, pp. 2421-2431, Sep. 2014.
[CrossRef] [Web of Science Times Cited 30] [SCOPUS Times Cited 36]


[23] Z. Wang and J. Wang, "Review on Implementation and Assessment of Conservation Voltage Reduction," IEEE Transactions on Power Systems, vol. 29, no. 3, pp. 1306-1315, May 2014.
[CrossRef] [Web of Science Times Cited 66] [SCOPUS Times Cited 84]


[24] H. J. Liu, T. J. Overbye, "Smart-grid-enabled distributed reactive power support with conservation voltage reduction," in Proc. IEEE Power Energy Conf. Illinois, 2014, pp. 1-5.
[CrossRef] [SCOPUS Times Cited 1]


[25] W. H. Kersting and W. H. Phillips, "Distribution feeder line models," IEEE Transactions on Industry Applications, vol. 31, no. 4, pp. 715-720, Aug. 1995.
[CrossRef] [Web of Science Times Cited 29] [SCOPUS Times Cited 44]


[26] Y. Xu, W. Zhang, W. Liu, and F. Ferrese, "Multiagent-Based Reinforcement Learning for Optimal Reactive Power Dispatch," IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), vol. 42, no. 6, pp. 1742-1751, Nov. 2012.
[CrossRef] [Web of Science Times Cited 26] [SCOPUS Times Cited 32]


[27] ***, "Load representation for dynamic performance analysis (of power systems)," IEEE Transactions on Power Systems, vol. 8, no. 2, pp. 472-482, May 1993.
[CrossRef] [SCOPUS Times Cited 626]


[28] M. Diaz-Aguilo et al., "Field-Validated Load Model for the Analysis of CVR in Distribution Secondary Networks: Energy Conservation," IEEE Transactions on Power Delivery, vol. 28, no. 4, pp. 2428-2436, Oct. 2013.
[CrossRef] [Web of Science Times Cited 31] [SCOPUS Times Cited 43]


[29] I. Khan, Z. Li, Y. Xu, and W. Gu, "Distributed control algorithm for optimal reactive power control in power grids," International Journal of Electrical Power & Energy Systems, vol. 83, pp. 505-513, Dec. 2016.
[CrossRef] [Web of Science Times Cited 5] [SCOPUS Times Cited 6]


[30] C. Ahn and H. Peng, "Decentralized Voltage Control to Minimize Distribution Power Loss of Microgrids," IEEE Transactions on Smart Grid, vol. 4, no. 3, pp. 1297-1304, Sep. 2013.
[CrossRef] [Web of Science Times Cited 32] [SCOPUS Times Cited 33]


[31] A. Maknouninejad and Z. Qu, "Realizing Unified Microgrid Voltage Profile and Loss Minimization: A Cooperative Distributed Optimization and Control Approach," IEEE Transactions on Smart Grid, vol. 5, no. 4, pp. 1621-1630, Jul. 2014.
[CrossRef] [Web of Science Times Cited 32] [SCOPUS Times Cited 39]


[32] ANSI C84.1-2006, "American National Standard for Electric Power Systems and Equipment," Natl. Electr. Manuf. Assoc., pp. 1-24, Dec. 2006.

[33] Z. Wang, M. Begovic, and J. Wang, "Analysis of conservation voltage reduction effects based on multistage SVR and stochastic process," IEEE Transactions on Smart Grid, vol. 5, no. 1, pp. 431-439, 2014.
[CrossRef]


[34] R. C. Dugan, T. E. McDermott, "An open source platform for collaborating on smart grid research," in Proc. IEEE Power Energy Soc. Gen. Meet., Detroit, 2011, pp. 1-7.
[CrossRef] [SCOPUS Times Cited 140]


[35] W. H. Kersting, "Radial distribution test feeders," IEEE Transactions on Power Systems, vol. 6, no. 3, pp. 975-985, Aug. 1991.
[CrossRef] [Web of Science Times Cited 279] [SCOPUS Times Cited 471]


[36] IEEE 13 node test feeder, IEEE Power Engineering Society, 2010, p. 11.

[37] J. A. Jardini, C. M. V. Tahan, M. R. Gouvea, S. U. Ahn, and F. M. Figueiredo, "Daily load profiles for residential, commercial and industrial low voltage consumers," IEEE Transactions on Power Delivery, vol. 15, no. 1, pp. 375-380, Jan. 2000.
[CrossRef] [Web of Science Times Cited 176] [SCOPUS Times Cited 225]


[38] K. M. A. Ali, R. David, "Adaptive multi-objective optimization for power loss minimization and voltage regulation in distribution systems," in Proc. Eighteenth International Middle East Power Systems Conference, Egypt, 2016, pp. 2-7.
[CrossRef] [SCOPUS Times Cited 4]




References Weight

Web of Science® Citations for all references: 1,210 TCR
SCOPUS® Citations for all references: 2,590 TCR

Web of Science® Average Citations per reference: 31 ACR
SCOPUS® Average Citations per reference: 66 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 2018-12-10 10:31 in 258 seconds.




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