量子增强直流最优潮流

Farshad Amani, Reza Mahroo, A. Kargarian
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引用次数: 3

摘要

哈罗-哈西丁-劳埃德(HHL)是一种量子计算算法,可以在对数时间尺度上求解线性方程组;因此,与最著名的经典计算机相比,具有多项式时间复杂度的指数级加速是可以实现的。本文研究将HHL集成到直流最优潮流问题中。最优性条件是用HHL求解的$Ax=b$形式的方程组。讨论了在DCOPF问题中出现的a矩阵的HHL性能。研究了将经典数据编码为量子态的HHL初始化的有效方法。分析了HHL计算误差对DCOPF收敛性和求解精度的影响。使用Qiskit模块在三总线系统上测试基于hll的DCOPF问题。在IEEE 14总线系统中,模拟了量子计算机和HHL误差对DCOPF的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantum-Enhanced DC Optimal Power Flow
Harrow-Hassidim-Lloyd (HHL) is a quantum computation algorithm that can solve a system of linear equations in a logarithmic time scale; hence, an exponential speed-up over best-known classical computers, which have polynomial time complexity, is accessible. This paper studies the integration of HHL into the DC optimal power flow problem. Optimality conditions are formulated as a system of equations in the form of $Ax=b$ that is solved by HHL. The performance of HHL for A-matrices appearing in DCOPF problems is discussed. The initialization of HHL for encoding data from classical data to a quantum state in an efficient manner is also investigated. The impact of HHL calculation error on DCOPF convergence and solution accuracy is analyzed. Qiskit module is used to test the HHL-based DCOPF problem on a 3-bus system. The impact of quantum computers and HHL errors on DCOPF is simulated for the IEEE 14- bus system.
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