Measuring and monitoring vital parameters throughout the electric power network is necessary to assess the health of the grid in real time, predict its behavior, and respond to events effectively. Lack of visibility and accurate device- or facility-level information makes it difficult to operate the electricity system efficiently and has contributed to large-scale power disruptions and outages. Additionally, next- generation sensors will allow energy management systems to integrate buildings, electric vehicles, and distributed systems.
This technical area focuses on tools and strategies to determine the type, number, and placement of sensors to improve system visibility from individual devices to feeders, distribution systems, and regional transmission networks. This effort includes advanced methods to determine system states not directly accessible by measurement, and estimation methods for broad grid visibility. Finally, it develops frameworks to integrate sensors into grid systems to better determine and forecast solar irradiance and wind generation, integrate and estimate all generation and load uses behind the meter, and monitor and predict interfacing infrastructures such as electrified transportation.
- Develop tools and strategies to determine the type, number, and placement of sensors on distribution grids to provide operators the visibility for specific utilities and feeders, including advanced methods to determine system states not directly accessible by measurement and estimation methods for broad grid visibility.
- Develop frameworks to integrate sensors into grid systems for solar irradiance, forecasting, and market data, and data from interfacing infrastructures such as electrified transportation.
- Team Lead: Oak Ridge National Laboratory.