Quantum Newton-Raphson Power Flow Computation Based on HHL Algorithm

被引：0

作者：

Xu, Zhen ^{[1
]}

Zhang, Dabo ^{[1
]}

Yang, Hejun ^{[1
]}

Ma, Yinghao ^{[1
]}

Dou, Menghan ^{[2
]}

Fang, Yuan ^{[2
]}

机构：

[1] Anhui Province Key Laboratory of Renewable Energy Utilization and Energy Saving, Hefei University of Technology, Anhui Province, Hefei,230009, China

[2] Origin Quantum Computing Technology (Hefei) Co., Ltd., Anhui Province, Hefei,230088, China

来源：

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2025年 / 45卷 / 14期

基金：

中国国家自然科学基金;

关键词：

Integrated circuit manufacture - Quantum theory - Qubits - Real time systems - Software testing;

D O I：

10.13334/j.0258-8013.pcsee.240135

中图分类号：

学科分类号：

摘要：

The rapid development of quantum computing provides new solutions for the increasingly complex real-time simulation calculations of modern power systems. A quantum Newton-Raphson power flow (QNR-PF) is proposed based on the Harrow-Hassidim-Lloyd (HHL) algorithm. It combines the data processing of classical computers with the iterative computation of quantum computers. The quantum algorithmic principle including the quantum encoding of the correction equations, the quantum circuit design and the quantum measurement of the correction vector is derived by transforming the Newton-Raphson power flow equations. The convergence criterion for the iterative computation of quantum power flow, aimed at enhancing the computation’s convergence reliability, is proposed in this paper by leveraging the approximate solving characteristics of quantum computing. Different IEEE test systems are conducted on the virtual quantum computer provide by QPanda software platform. The results validate the effectiveness of the QNR-PF algorithm. © 2025 Chinese Society for Electrical Engineering. All rights reserved.

引用

页码：5564 / 5576