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Determining Selection of Recloser Clusters to Automate Power Grids via Integer Programming and Statistical Current AnalysisVIEIRA, F. H. T. , VAZ, R. R. C. , FRANCO, R. A. P. , CARNEIRO, M. L. , ARAUJO, S. G.
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power system planning, power demand, power system analysis computing, load flow, power distribution lines
power(18), distribution(17), systems(11), optimal(6), networks(6), energy(6), algorithm(5), system(4), smart(4), placement(4)
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About this article
Date of Publication: 2019-05-31
Volume 19, Issue 2, Year 2019, On page(s): 91 - 96
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2019.02012
Web of Science Accession Number: 000475806300012
SCOPUS ID: 85066333632
This work presents a methodology for the deployment of Self-Healing systems in distribution grids in order to decrease continuity indexes such as the Equivalent Duration of Interruption per Consumer Unit. The proposed methodology consists in choosing feeders to receive Self-Healing system based on their performances in relation to the Equivalent Duration of Interruption per Consumer Unit. To this end, this methodology addresses current in the conductors and the number of consumers. In order to determine recloser cluster priorities, it is proposed to consider statistical analysis of current values by Decision theory and Binary Linear Programming. The results show that the application of the proposed methodology for determining recloser cluster priorities and cluster selection has great impact on the system operation since it is related to the number of served consumers, failure rates and compensation for the system.
|References|||||Cited By «-- Click to see who has cited this paper|
| P. S. Georgilakis and N. D. Hatziargyriou, "Optimal Distributed Generation Placement in Power Distribution Networks: Models, Methods, and Future Research," IEEE Transactions on Power Systems, vol. 28, no. 3, pp. 3420-3428, Aug. 2013, |
[CrossRef] [Web of Science Times Cited 551] [SCOPUS Times Cited 710]
 M. Zidar, P. S. Georgilakis, N. D. Hatziargyriou, T. Capuder and D. Å krlec, "Review of energy storage allocation in power distribution networks: applications, methods and future research," IET Generation, Transmission & Distribution, vol. 10, no. 3, pp. 645-652, 2016,
[CrossRef] [Web of Science Times Cited 188] [SCOPUS Times Cited 223]
 X. Cao, H. Wang, Y. Liu, R. Azizipanah-Abarghooee and V. Terzija, "Coordinating self-healing control of bulk power transmission system based on a hierarchical top-down strategy," International Journal of Electrical Power & Energy Systems, vol. 90, pp. 147-157, 2017,
[CrossRef] [Web of Science Times Cited 15] [SCOPUS Times Cited 19]
 M. E. El-hawary, "The smart grid-state-of-the-art and future trends," Electric Power Components and Systems, vol. 42, no. 3-4, pp. 239-250, 2014,
[CrossRef] [Web of Science Times Cited 200] [SCOPUS Times Cited 270]
 C. Wang and Y. Zhang, "Fault Correspondence Analysis in Complex Electric Power Systems," Advances in Electrical and Computer Engineering, vol.15, no.1, pp.11-16, 2015,
[CrossRef] [Full Text] [Web of Science Times Cited 8] [SCOPUS Times Cited 6]
 G. Grigoras, G. Cartina and E. C. Bobric, "Strategies for Power/Energy Saving in Distribution Networks," Advances in Electrical and Computer Engineering, vol. 10, no. 2, pp. 61-64, 2010,
[CrossRef] [Full Text] [Web of Science Times Cited 11] [SCOPUS Times Cited 13]
 L. Martinovic, D. Capko and A. Erdeljan, "Load Balancing of Large Distribution Network Model Calculations," Advances in Electrical and Computer Engineering, vol. 17, no. 4, pp. 11-18, 2017,
[CrossRef] [Full Text] [Web of Science Times Cited 2] [SCOPUS Times Cited 2]
 D. Popovic, L. Glamocic, M. Nimrihter, M. Tanaskovic, D. Vukotic and D. Damljanovic, "Optimal automation level of medium voltage distribution network," in Proc. 18th International Conference and Exhibition on Electricity Distribution (CIRED), pp. 1-5, Turin, Italy, 2005.
 W. Tippachon and D. Rerkpreedapong, "Multi-objective optimal placement of switches and protective devices in electric power distribution systems using ant colony optimization," Electr. Power Syst. Res., vol. 79, no. 7, pp. 1171-1178, 2009,
[CrossRef] [Web of Science Times Cited 91] [SCOPUS Times Cited 107]
 N. Gupta, A. Swarnkar, K. R. Niazi and R. C. Bansal, "Multi-objective reconfiguration of distribution systems using adaptive genetic algorithm in fuzzy framework," IET Gener. Transm. Distrib., vol. 4, no. 12, pp. 1288-1298, 2010,
[CrossRef] [Web of Science Times Cited 87] [SCOPUS Times Cited 107]
 A. Moradi and M. Fotuhi-Firuzabad, "Optimal switch placement in distribution systems using trinary particle swarm optimization algorithm," IEEE Trans. Power. Deliv., vol. 23, no. 1, pp. 271-279, 2008,
[CrossRef] [Web of Science Times Cited 147] [SCOPUS Times Cited 200]
 C. L. Su and J. H. Teng, "Outage costs quantification for benefit-cost analysis of distribution automation systems," Electr. Power Energy Syst., vol. 29, no. 12, pp. 767-774, 2007,
[CrossRef] [Web of Science Times Cited 20] [SCOPUS Times Cited 26]
 Sh. Abdi, K. Afshar, S. Ahmadi, N. Bigdeli and M. Abdi, "Optimal recloser and autosectionalizer allocation in distribution networks using IPSO-MONTE CARLO approach," International Journal of Electrical Power & Energy Systems, vol. 55, no. 1, pp. 602-611, 2014,
[CrossRef] [Web of Science Times Cited 28] [SCOPUS Times Cited 38]
 D. V. Kondo, C. F. M. Almeida, H. Kagan, A. P. Cunha, M. R. Gouvea, L. A. Felber, M. F. Braga, and J. A. O. Nascimento, "A methodology for reclosers allocation in distribution networks," in Proc. 2013 IEEE PES Conference on Innovative Smart Grid Technologies (ISGT Latin America), pp. 1-8, April 2013.
 D. P. Bernardon, M. Sperandio, V. J. Garcia, L. N. Canha, A. D. R. Abaide, and E. F. B. Daza, "AHP decision-making algorithm to allocate remotely controlled switches in distribution networks," IEEE Transactions on Power Delivery, vol. 26, no. 3, pp. 1884-1892, 2011,
[CrossRef] [Web of Science Times Cited 72] [SCOPUS Times Cited 91]
 I. G. Sardou, M. Banejad, R. Hooshmand and A. Dastfan, "Modified shuffled frog leaping algorithm for optimal switch placement in distribution automation system using a multi-objective fuzzy approach," IET Generation, Transmission & Distribution, vol. 6, no. 6, pp. 493-502, 2012,
[CrossRef] [Web of Science Times Cited 39] [SCOPUS Times Cited 41]
 J. J. M. Galo, M. N. Q. Macedo, L. A. L. Almeida and A. C. C. Lima, "Criteria for smart grid deployment in brazil by applying the delphi method," Energy, vol. 70, no. 1, pp. 605-611, 2014,
[CrossRef] [Web of Science Times Cited 24] [SCOPUS Times Cited 25]
 Dungan, R. C., "Reference Guide: The Open Distribution System Simulator (OpenDSS)", pp. 31-129, accessed on 24 June 2018 [Online] Available: Temporary on-line reference link removed - see the PDF document
 P. A. N. Garcia, J. L. R. Pereira, S. Carneiro, V. M. da Costa, and N. Martins, "Three-phase power flow calculations using the current injection method," IEEE Transactions on Power Systems, vol. 15, no. 2, pp. 508-514, 2000,
[CrossRef] [Web of Science Times Cited 282] [SCOPUS Times Cited 359]
 L. Powell. Power System Load Flow Analysis. McGraw-Hill Education, New York, New York, USA, 1st ed,. pp. 63-104, 2004.
 A. Papoulis, S. U. Pillai. Probability, Random Variables and Stochastic Processes. McGraw-Hill Europe 4th ed., pp. 241-284, 2002.
 F. Abramovich, C. Angelini, "Bayesian maximum a posteriori multiple testing procedure," Sankhy: The Indian Journal of Statistics, vol. 68, no. 3, pp. 436-460, 2006.
 G. B. C. Souza, F. H. T. Vieira, C. R. Lima, G. A. de Deus Junior, M. S. de Castro, S. G. de Araujo and T. L. Vasques, "Developing smart grids based on gprs and zigbee technologies using queueing modeling based optimization algorithm," ETRI Journal, vol. 38, no. 1, pp. 41-51, 2016,
[CrossRef] [Web of Science Times Cited 10] [SCOPUS Times Cited 13]
 T. Ding, R. Bo, F. Li and H. Sun, "A bi-level branch and bound method for economic dispatch with disjoint prohibited zones considering network losses," IEEE Transactions on Power Systems, vol. 30, no. 6, pp. 2841-2855, 2015,
[CrossRef] [Web of Science Times Cited 58] [SCOPUS Times Cited 73]
 J. O. Berger. Statistical Decision Theory and Bayesian Analysis. Springer, New York, New York, USA, vol. 2, pp. 118-286, 1985.
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