Monday, January 7, 2013 - 4:00pm to 4:50pm
KEC 1001

Speaker Information

Eduardo Cotilla-Sanchez
Assistant Professor
School of EECS
Oregon State University

Abstract

Identifying coherent sub-graphs in networks is important in many applications. In power systems, large systems are divided into areas and zones to aid in planning and control applications. But not every partitioning is equally good for all applications. In this talk we will discuss a hybrid method that combines a conventional graph partitioning algorithm with a genetic algorithm to partition a power network based on electrical distances, cluster sizes, the number of clusters, and cluster connectedness. Clusters produced by this method can be used to identify buses with dynamically coherent voltage angles, without the need for dynamic simulation. This also results in intra-zone transactions that have less impact on power flows outside of the zone, a property particularly useful for power system applications where ensuring deliverability is important, such as transmission planning or determination of synchronous reserve zones.

Speaker Bio

Eduardo Cotilla-Sanchez received the Ph.D. degree in electrical engineering from the University of Vermont in 2012. He joined Oregon State University in Sept. 2012 as an Assistant Professor at the School of Electrical Engineering & Computer Science. His primary field of research is the vulnerability of electrical infrastructure, in particular, the study of cascading outages. This interest spires into several other research areas such as nonlinear dynamics, complex systems, smart grid, and big data. Cotilla-Sanchez is a member of the IEEE Task Force on Understanding, Prediction, Mitigation and Restoration of Cascading Failures.