New method utilizes hydropower project signals to monitor grid stability
12 February 2024
Scientists at Oak Ridge National Laboratory (ORNL) and the University of Tennessee, Knoxville (UTK), have unveiled an algorithm designed to forecast electric grid stability by harnessing signals from pumped storage hydropower (PSH) projects. This innovation emerges as a crucial tool in navigating the grid’s transition towards intermittent renewable energy sources.
Hydropower is a renewable energy source directly connected to the grid, providing inertia as water spins large turbines. Pumped storage hydropower draws electricity from the grid to pump water from a lower to an upper reservoir in times of low power demand to create an energy storage bank. In times of high demand, the projects generate electricity as water is routed back to the lower reservoir through the turbines.
