Load flow studies are one of the most essential engineering applications for grid operators because they provide a clear picture of the operating conditions of the power system. Traditionally, the load flow problem is assumed to be deterministic; that is, the system variables contain no randomness. Unfortunately, this assumption is...
With the increasing penetration of renewable energy integration and potential threats from natural disasters, modern electric power system have been significantly exposed to both small- and large-scale disturbances. Traditional performance metrics including indices of reliability, stability, and security are no longer adequate to describe a power network. Infrastructure properties like...
The electrical grid serves as one of the major lifelines to our society. We have come to expect electricity to be available when we want it. But the system that delivers power to us is very complex and made up of many individual pieces. Maintaining and operating this system reliably...
Dynamic modeling is key to the successful operation and reliability of electrical grids by evaluating transient stability. Developing dynamic load models and identifying where they are necessary is a challenging task as loads are an aggregation of individual devices that change throughout the year. This thesis investigates how to develop...
The majority of power system cascading models assume that system operators will
react perfectly and timely to an electrical event. However, as evidenced by several
blackouts in the last decades, the inadequate system operators’ situation awareness
and response can contribute significantly to the severity of an electrical disturbance.
Under these...
In recent years there have been many improvements in the reliability of critical infrastructure systems. Despite these improvements and despite targeted efforts to improve the operation and control of the electric grid, the power systems industry has seen relatively small advances in this regard. For instance, today's power system is...
Large databases and data warehouses are becoming prevalent for the storage and management of energy data. Accelerating the rates at which data can be retrieved is beneficial not only to allow for more efficient search of the data, but also to be integrated with other energy system tools. In this...
In the past two years, Oregon State University (OSU) Corvallis campus suffered several power outages. The estimated cost of one of those outages was close to a million dollars worth of equipment and impact on research projects. Meanwhile, the campus grid operates with severely aging power assets. The reliability of...
Graphs have a wide variety of real-world applications. In the area of social networks, graphs are composed of individuals and their relationships with others. Analysis of social networks led to the discovery of the small-world phenomena, which is also known as six degrees of separation. Our analysis is focused on...
Scientists and engineers have to analyze and query multiple large databases. Analysis over databases created by phasor measurement units can provide insight into the health of the grid, thereby improving control over operations. Realizing this data-driven control, however, requires validating, processing and storing massive amounts of PMU data efficiently, which...