Loading...
Adaptive transmission and distribution dynamic contingency analysis with high penetrations of distributed energy resources
Cornmesser, Owen Scott
Cornmesser, Owen Scott
Citations
Altmetric:
Advisor
Editor
Date
Date Issued
2025
Date Submitted
Keywords
Collections
Files
Research Projects
Organizational Units
Journal Issue
Embargo Expires
Abstract
Grid modernization brings forth beautiful effects, such as low carbon emissions, low system power losses, among many others. Many of these improvements can be attributed to smaller-scale power generation resources, which typically are renewable sources of energy. However, these devices are rapidly changing the structure of the power grid and the dynamics associated with it. Several new standards address this, as IEEE 1547 and FERC Order 2222 mandate numerous dynamic standards for distributed energy resources and also allow for their participation in power system markets. These standards will increase grid stability in a future with high penetrations of renewable energy, and make sure that they are treated in a fair manner in power system markets, both of which allow for a more resilient, reliable, and equitable power grid. However, introducing these standards into systems brings forth significant engineering challenges. One challenge is the added computational cost of modeling all distributed energy resources in large scale, bulk power system studies, yet their detailed modeling is crucial due to their proliferation and newfound dynamic behavior. Therefore, there lies a crucial engineering tradeoff for bulk power system studies; accuracy in system studies at the expense of faster, less computationally intensive simulations. This thesis provides a method which offers advantages from both sides of this tradeoff. An extension for transmission-oriented dynamic contingency analysis is shown, which allows for the incorporation of highly detailed, disaggregated feeder models in regions of anticipated high dynamic uniqueness, while not adding the usual computational burden of doing so. First, the effectiveness of short-circuit analysis as a voltage estimation tool in anticipation of a fault contingency are displayed. Subsequently, these voltage estimation results are used to create a multi-fidelity system, where loads in highly voltage-deviating areas are modeled in a distributed manner, and loads in lower voltage-deviating regions are modeled in an aggregated manner. Results show that by performing a dynamic simulation in this manner, simulation complexity mirrors that of a fully aggregated simulation while incorporating the accuracy of a fully disaggregated simulation, constructing the multi-fidelity system in an automated manner each time.
Associated Publications
Rights
Copyright of the original work is retained by the author.