In the race to achieve a net-zero future based on clean energy, renewable energy sources like solar and wind power have emerged as potential champions in the battle against climate change.
In the race to achieve a net-zero future based on clean energy, renewable energy sources like solar and wind power have emerged as potential champions in the battle against climate change. However, as traditional synchronous generators are replaced by inverter-based renewable energy resources, the transition creates a low-inertia challenge within the existing power grids leading to stability and reliability concerns.
Xingpeng Li, assistant professor of electrical and computer engineering at the University of Houston, is working on a solution that will allow seamless integration of renewable energy sources with the rest of the power grid without causing any problems. He received a National Science Foundation CAREER Award for his proposal “Frequency-Constrained Energy Scheduling for Renewable-Dominated Low-Inertia Power Systems.” The goal of the project is to ensure that evolving power systems can continue to operate efficiently and stably while supporting fast-growing wind and solar generation.
Inertia is the total kinetic energy stored in the heavy rotating synchronous generators, which is necessary for ensuring system stability including frequency stability during large disturbances.
Read more at: University of Houston
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