Quantum microgrid state estimation

被引：9

作者：

Feng, Fei ^{[1
]}

Zhang, Peng ^{[1
]}

Zhou, Yifan ^{[1
]}

Tang, Zefan ^{[1
]}

机构：

[1] SUNY Stony Brook, Elect & Comp Engn, Stony Brook, NY 11794 USA

来源：

ELECTRIC POWER SYSTEMS RESEARCH | 2022年 / 212卷

基金：

美国国家科学基金会;

关键词：

Quantum computing; State estimation; Hierarchical control; Microgrid;

D O I：

10.1016/j.epsr.2022.108386

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper investigates the feasibility and efficiency of quantum-circuit-based algorithms for microgrid state estimation. Our new contributions include: (1) a general quantum state estimation (GQSE) formulation is devised for swing-bus-contained microgrids through the quantized Gaussian-Newton iteration, (2) a preconditioned quantum linear solver (PQLS) is developed for tackling the ill-conditioned GQSE with limited quantum resources, and (3) an enhanced quantum state estimation (EQSE) algorithm is further established for hierarchical-control-based microgrids with exogenous disturbances. Extensive case studies demonstrate the correctness of GQSE, PQLS and EQSE in two typical microgrids. The robustness and convergence performance of EQSE are also verified.

引用

页数：7

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