Transmission Reliability and Renewable Integration (TRRI) and the Distribution Sensors and Data Analytics Programs

Transmission Reliability and Renewable Integration (TRRI) and the Distribution Sensors and Data Analytics Programs

The Office of Electricity's TRRI and Sensors promote the development of analytics and event detection, tool demonstrations, and measurement and standards to improve grid observability and situational awareness and develop tools to support grid and utility operators. Berkeley Lab is supporting these programs through the projects described below. 

Current Projects

Transmission Grid Friendly Plug-in Electric Vehicle (PEV) Charging

This work informs transmission system planners of the potential reliability impacts, both positive and negative, of enhanced PEVs, a rapidly growing new type of load that transmission (and distribution) systems must be prepared to serve. 

For more information please see here

 

Enhancing Utility Operations during Heat Waves through Large-Scale Sensing and Data Fusion

Sudden increases in grid demand during heat wavs remains a challenge to utility operators. To address this and help inform the decision making process of emergency response, Berkeley La is developing new models based on large-scale sensing and data fusion techniques with machine learning algorithms to estimate hours-ahead electricity demand, flexibility of aggregated building stocks and overheating risks of vulnerable communities during heat waves.

For more information please see here.

Past Projects

Eastern Interconnection Situational Awareness Monitoring Systems (ESAMS)

In early 2022, Berkeley Lab successfully demonstrated a novel new system for providing interconnection-wide situational awareness to transmission grid operators of synchrophasor-based oscillation events. The project was hosted by PJM and was conducted in partnership with the largest US grid operators in the Eastern Interconnection, also including ISO-NE, MISO, NYISO, Southern Co, SPP, and TVA. 

For more information please see here.