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- W4316660010 abstract "This paper aims to implement and evaluate the performance of quantum computing on solving combinatorial optimization problems arising from the operations of the power grid. To this end, we construct a novel mixed integer conic programming formulation for the reconfiguration of radial distribution network in response to faults in distribution lines. Comparing to existing bus injection model in the literature, our formulation based the branch flows model is theoretically equivalent without needing non-explainable variables, thus being more numerically stable. The network reconfiguration model is then used as a benchmark to evaluate the performance of quantum computing algorithms in real quantum computers. It shows that while current quantum computing algorithms with fast execution time in quantum computers can be a promising solution candidate, its heuristic nature stem from its theoretical foundation should be considered carefully when applying into power grid optimization problems." @default.
- W4316660010 created "2023-01-17" @default.
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- W4316660010 date "2022-10-09" @default.
- W4316660010 modified "2023-09-29" @default.
- W4316660010 title "Evaluate Quantum Combinatorial Optimization for Distribution Network Reconfiguration" @default.
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- W4316660010 doi "https://doi.org/10.1109/naps56150.2022.10012259" @default.
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