Enhanced Power System State Estimation Techniques for the Incorporation of Variable Energy

Abstract

For many decades, state estimation has been a critical technology in the energy management systems utilized by transmission system operators. Over time, it has become a mature technology that provides an accurate representation of system state under fairly stable and well understood system operation. The integration of variable energy resources such as wind and solar generation, however, introduce new dynamics and uncertainties into the system. Along with increase in variability which needs real time monitoring, state estimation will be extended to the distribution networks which increase the size of the problem. Conventional solutions to this problem result in large problem sets being solved at a faster rate thereby becoming computationally intensive. This thesis builds upon the Weighted least Square approach to SE and enhances the approach to SE by combining the concepts of event triggering, tracking update mechanism and incorporation of weather information. The result of the thesis is a SE which can overcome the challenges of novelty or variability, complexity and weather events which threaten the reliability of the power grids.

Date of Award	Dec 2013
Original language	American English
Supervisor	Amro M. Farid (Supervisor)