This National Science Foundation (NSF) Engineering (CFDA 47.041) Project Grant award to Clemson University's Division of Research totals $275,000 and runs from January 1, 2025 to December 31, 2027. The project aims to develop quantum computing methods to enable seamless transitions between grid-following and grid-forming controls for inverter-based resources in renewable energy systems. Key objectives include:
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Designing a quantum approximate optimization algorithm to address the complexity of optimally partitioning interconnected microgrids under heterogeneous disturbances.
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Developing a variational quantum eigensolver approach to enhance the dynamic resilience of inverter-based resource controllers through approximate dynamic programming and reinforcement learning.
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Creating a quantum-augmented algorithm for power restoration by utilizing dispatchable inverter-based resources to achieve seamless synchronization across microgrids.
This project leverages quantum computing to transform the efficiency, reliability, and resilience of renewable energy systems, leading to increased renewable integration and reduced carbon emissions. The work will also train students in these emerging quantum technologies with applications to the power and energy industry.
Generated 3/4/25, 8:45 AM