A network science-based k-means++ clustering method for power systems network equivalence-Reference-Cited by-同舟云学术

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A network science-based k-means++ clustering method for power systems network equivalence

Published:2019-04-22 Issue:1 Volume:6 Page:
ISSN:2197-4314
Container-title:Computational Social Networks
language:en
Short-container-title:Comput Soc Netw

Author:

Sharma Dhruv,Thulasiraman Krishnaiya,Wu Di,Jiang John N.

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Human-Computer Interaction,Modelling and Simulation,Information Systems

Link

http://link.springer.com/content/pdf/10.1186/s40649-019-0064-3.pdf

Reference47 articles.

1. U.S. Energy information administration: energy explained. http://www.eia.gov/energy_in_brief/article/power_grid.cfm .

2. Wang H, Sanchez CEM, Zimmerman RD, Thomas RJ. On computational issues of market-based optimal power flow. IEEE Trans Power Syst. 2007;22(3):1185–93.

3. Hogan W. A market power model with strategic interaction in electricity networks. Energy J. 1997;18:107–41.

4. Duran H, Arvanitidis N. Simplification for area security analysis: a new look at equivalencing. IEEE Trans Power App Syst. 1972;91(2):670–9.

5. Cheng X, Overbye TJ. PTDF-based power system equivalents. IEEE Trans Power App Syst. 2005;20(4):1868–76.

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