Increased penetration of renewable energy sources results in higher operating reserve requirements, due to the inherent variability and uncertainty of these resources. Many studies, primarily focusing on wind and solar, have determined that geographic diversity of variable renewables substantially reduces system variability and uncertainty. The Pacific Northwest is well suited...
During the Canterbury Earthquake Sequence (CES) in Christchurch, NZ, an estimated $15B in damages occurred due to liquefaction-induced phenomena, illustrating the importance of understanding site-specific responses to seismic ground motions, as well the importance of accurately predicting liquefaction severity. One potential method for improving the understanding of how a site...
Load modeling that can accurately represent the dynamic behavior of generators and loads is important in the operation and planning of transmission and distribution systems. Yet, it is a complex subject in power system research communities and electric utilities. The composition of the end-use loads is changing continually based on...
The objective of the work presented herein is the development of the extended Kalman filter for nonlinear system modeling. A standard Kalman filter is a well-known filter for estimating the state of a system, assuming the system is linear and it has a Gaussian distribution in its noise. In reality,...
The purpose of this qualitative, phenomenological study was to explore the lived experiences of incarcerated women who participated in a service-learning program to help the homeless. Service-learning is effective pedagogy for involving students in civic engagement, and their involvement has been shown to increase the self-esteem of participating college students....