Department
Computer Science
Major
Computer Science
Research Advisor
McMillin, Bruce
Advisor's Department
Computer Science
Funding Source
NSF MRI award CNS-0420869, NSF CSR award CCF-0614633, UMR Intelligent Systems Center, UMR Opportunities for Undergraduate Research Experience (OURE) Program
Abstract
With all the work finding effective placements for FACTS devices in power grids, there is some question as to how many of the cascading outage scenarios can actually be solved. We discuss fourteen outage scenarios on the IEEE 118 bus system. We determine whether each scenario can be solved using the Max-Flow algorithm. If it can be solved, we determine what placement and setting will solve the scenario. We also discuss the use of the max-flow algorithm both in determining the solvability of each scenario and in finding FACTS settings that will solve a scenario.
Biography
Adam Lininger is a senior at the University of Missouri - Rolla majoring in Computer Science. Adam plans on perusing a career in academic research.
Research Category
Engineering
Presentation Type
OURE Fellows Final Oral Presentation
Document Type
Presentation
Location
Havener Center, Missouri Room
Presentation Date
11 April 2007, 10:00 am - 10:30 am
Analysis of Max-Flow values for setting FACTS devices
Havener Center, Missouri Room
With all the work finding effective placements for FACTS devices in power grids, there is some question as to how many of the cascading outage scenarios can actually be solved. We discuss fourteen outage scenarios on the IEEE 118 bus system. We determine whether each scenario can be solved using the Max-Flow algorithm. If it can be solved, we determine what placement and setting will solve the scenario. We also discuss the use of the max-flow algorithm both in determining the solvability of each scenario and in finding FACTS settings that will solve a scenario.
