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Columbia University’s Data Science Institute Presents:

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Wednesday, April 6 • 2:00pm - 4:30pm
Generation of Synthetic Spatially Embedded Power Grid Networks [P23]

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<!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}-->The development of algorithms for enhancing the resilience and efficiency of the power grid requires evaluation with topologies of real transmission networks. However, due to security reasons, such topologies and particularly the locations of the substations and lines are usually not publicly available. Therefore, we study the structural properties of the North American grids and present an algorithm for generating synthetic spatially embedded networks with similar properties to a given grid. The algorithm uses the Gaussian Mixture Model (GMM) for node density estimation and generates nodes with similar spatial distribution to the nodes in a given network. Then, it uses two procedures, which are inspired by the historical evolution of the grids, to connect the nodes. The algorithm has several tunable parameters that allow generating grids similar to any given grid. We apply it to the Western Interconnection (WI) and to grids that operate under the SERC Reliability Corporation (SERC) and the Florida Reliability Coordinating Council (FRCC), and show that the generated grids have similar structural and spatial properties to these grids. To the best of our knowledge, this is the first attempt to consider the spatial distribution of the nodes and lines and its importance in generating synthetic grids.

Demo/Poster Presenter
avatar for Gil Zussman

Gil Zussman

Associate Professor of Electrical Engineering, Columbia Engineering
Gil Zussman received the B.Sc. degree in Industrial Engineering and Management and the B.A. degree in Economics (both summa cum laude) from the Technion – Israel Institute of Technology in 1995. He received the M.Sc. degree (summa cum laude) in Operations Research from Tel-Aviv University in 1999 and the Ph.D. degree in Electrical Engineering from the Technion – Israel Institute of... Read More →
avatar for Saleh Soltan

Saleh Soltan

PhD Candidate in Electrical Engineering, Columbia Engineering
Saleh Soltan is a Ph.D. student in the department of Electrical Engineering at Columbia University. He received B.S. degrees in Electrical Engineering and Mathematics (double major) from Sharif University of Technology, Iran in 2011 and the M.S. degree in Electrical Engineering from Columbia University in 2012. He is the Gold Medalist of the 23rd National Mathematics Olympiad in Iran in 2005 and the recipient of Columbia University Electrical... Read More →

Wednesday April 6, 2016 2:00pm - 4:30pm
Roone Arledge Auditorium Lerner Hall, Columbia University 2920 Broadway, New York, NY 10040

Attendees (1)