The Kirchhoff-Braess paradox and its implications for smart microgrids

Proceedings of the IEEE Conference on Decision and Control

Volumn 54rd IEEE Conference on Decision and Control,CDC 2015, Issue , 2015, Pages 6556-6563

  Baillieul, John ^a   Zhang, Bowen ^b   Wang, Shuai ^b  

^a Electrical and Computer Engineering   (United States)

^b Boston University   (United States)

Author keywords

distribution networks; loss cost; network congestion; price of anarchy

Indexed keywords

ELECTRIC POWER DISTRIBUTION; MICROGRIDS; TRAFFIC CONGESTION;

CONDUCTIVE LINES; CONGESTED NETWORKS; LOSS COSTS; NETWORK CONGESTIONS; NON-LINEAR PHENOMENA; PERFORMANCE METRICS; PRICE OF ANARCHY; TRANSPORTATION NETWORK;

LINEAR NETWORKS;

EID: 84962032937     PISSN: 07431546     EISSN: 25762370     Source Type: Conference Proceeding    
DOI: 10.1109/CDC.2015.7403252     Document Type: Conference Paper

References (12)

1. R. Arghandeh, M. Gahr, A. von Meier, G. Cavraro, M. Ruh, G. Andersson, "Topology Detection in Microgrids with Micro-Synchrophasors, arXiv. org: http://arxiv. org/pdf/1502. 06938v1. pdf.
2. S. Blumsack and M. Ilić, "The Braess Paradox in Electric Power Systems, Working Paper, http://www. personal. psu. edu/sab51/braess paradox. pdf
3. Seth Blumsack, Lester B. Lave, and Marija Ilić, "Topological Elements of Transmission Pricing and Planning, Carnegie Mellon Electricity Industry Center Working Paper CEIC-06-08, https://wpweb2. tepper. cmu. edu/ceic/pdfs/CEIC 06 08. pdf
4. J. Cohen and P. Horowitz, 1991. "Paradoxical Behavior of Mechanical and Electrical Networks, Nature, 352, pp. 699 701.
5. A. Gomez-Exposito, A. J. Conejo, C. Canizares, Electric Energy Systems: Analysis and Operation, CRC Press, The Electric Power Engineering Series, Taylor and Francis, 2009, ISBN-10: 0849373654, ISBN-13: 978-0849373657
6. R. Steinberg and W. I. Zangwill. "The Prevalence of Braess's Paradox," em Transportation Science, Vol. 17 (1983), no. 3, 301-318.
7. R. Varterbedian, "Rise in renewable energy will require more use of fossil fuel," Los Angeles Times, Dec. 9, 2012.
8. B. Zhang and J. Baillieul, "A Packetized Direct Load Control Mechanism for Demand Side Management," in Proceedings of the 51st IEEE Conference on Decision and Control, Maui, Hawaii, December 10-13, 2012, pp. 3658-3665. DOI: 10. 1109/CDC. 2012. 6427392
9. B. Zhang and J. Baillieul, "A Novel Packet Switching Framework 'with Binary Information in Demand Side Management. " In Proceedings of the 52nd IEEE Conference on Decision and Control, December 10-13, 2013, pp. 4957-4963. DOI:10. 1109/CDC. 2013. 6760667.
10. B. Zhang and J. Baillieul, "A Two Level Feedback System to Provide Regulation Reserve. " In Proceedings of the 52nd IEEE Conference on Decision and Control, Florence, Italy, December 10-13, 2013, pp. 4322-4328. DOI:10. 1109/CDC. 2013. 6760554
11. B. Zhang and J. Baillieul, "Communication and Control Protocols for Load Networks in the Smart Grid," in Proceedings of IFAC 2014, Cape Town, South Africa, August 25-29, 2014, pp. 11,250-11,256.
12. B. Zhang, M. C. Caramanis, and J. Baillieul, "Optimal price-controlled demand response with explicit modeling of consumer preference dynamics," In Proceedings of the 53rd IEEE Conference on Decision and Control, December 15-17, 2014, Los Angeles,CA, USA, pp. 2481-2486. DOI:10. 1109/CDC. 2014. 7039767.