Quantum computing can enable more efficient optimization algorithms, allowing for the optimal scheduling and dispatch of electricity generation, load balancing, and resource allocation.
Applications such as PMU placement, unit commitment or facility location-allocation, are among the first expected to be addressed by quantum devices and as the technology evolve sit will also be able to solve more complex issues in power flow and transient analysis, minimizing energy waste and enhancing system performance.
Quantum algorithms can also be used to manage the growing amounts of data produced by sensors in smart grids, enhancing classical machine learning methods with pattern recognition and anomaly detection, which would enable faster and more accurate decision-making. This can lead to more effective fault detection, more precise electricity load and price forecasting and improved grid stability.
“Our quantum optimization algorithms could help utilities meet new requirements aiming to align utility profit motives with environmental goals, including decarbonization and resilience,” said Enrique Lizaso Olmos, CEO of Multiverse Computing.
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