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초록

The rapid integration of distributed energy resources (DERs) into power systems has significantly increased the complexity of reliability assessments, particularly in evaluating generation adequacy. Recent advancements in quantum computing (QC) present transformative opportunities to tackle these challenges by enabling efficient solutions to computationally intensive problems. This paper introduces a novel methodology for generation adequacy reliability assessment using quantum computing techniques. The proposed approach leverages QC theory to redefine the mathematical framework for reliability analysis, incorporating a time-dependent qubit model to accurately represent the operational dynamics and reliability of DERs. This model captures the probabilistic nature of DERs’ availability and performance over time, addressing the limitations of conventional methods such as Monte Carlo and Latin Hypercube sampling. The simulation framework was implemented and executed on IBM's remote quantum computer, demonstrating the practical applicability of quantum computing in power system reliability assessment. By exploiting the unique capabilities of quantum computers, the study achieves a substantial reduction in computational burden while maintaining accuracy and robustness in reliability evaluations. The findings underscore the potential of quantum computing to revolutionize power system planning and operational analysis, paving the way for more resilient and sustainable energy systems in the era of distributed energy integration.

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