<scp>Quantum</scp>
            internet for resilient electric grids

Jiang, Zimin; Tang, Zefan; Qin, Yanyuan; Chen, Kang; Zhang, Peng

doi:10.1002/2050-7038.12911

Cited by 15 publications

(7 citation statements)

References 9 publications

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“…A QKD-based quantum network architecture designed for power grids is presented in ref. [28]. It is also shown in Figure 8.…”

Section: Quantum Networkmentioning

confidence: 70%

“…With this quantum network architecture, ref. [28] develops a quantum network simulator, namely, QNSim, to simulate the performance of the network. Unlike other quantum network simulators, QNSim is easy to implement, allows for real-time simulation, and is flexible in altering network parameters and topologies.…”

Section: Quantum Networkmentioning

confidence: 99%

“…Fig.8A QKD-based quantum network using quantum repeaters[28] . (a) Illustration of a quantum repeater.…”

mentioning

confidence: 99%

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Quantum computing in power systems

Zhou

Tang

Nikmehr

et al. 2022

iEnergy

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Electric power systems provide the backbone of modern industrial societies. Enabling scalable grid analytics is the keystone to successfully operating large transmission and distribution systems. However, today' s power systems are suffering from everincreasing computational burdens in sustaining the expanding communities and deep integration of renewable energy resources, as well as managing huge volumes of data accordingly. These unprecedented challenges call for transformative analytics to support the resilient operations of power systems. Recently, the explosive growth of quantum computing techniques has ignited new hopes of revolutionizing power system computations. Quantum computing harnesses quantum mechanisms to solve traditionally intractable computational problems, which may lead to ultra-scalable and efficient power grid analytics. This paper reviews the newly emerging application of quantum computing techniques in power systems. We present a comprehensive overview of existing quantum-engineered power analytics from different operation perspectives, including static analysis, transient analysis, stochastic analysis, optimization, stability, and control. We thoroughly discuss the related quantum algorithms, their benefits and limitations, hardware implementations, and recommended practices. We also review the quantum networking techniques to ensure secure communication of power systems in the quantum era. Finally, we discuss challenges and future research directions. This paper will hopefully stimulate increasing attention to the development of quantum-engineered smart grids.

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“…A QKD-based quantum network architecture designed for power grids is presented in ref. [28]. It is also shown in Figure 8.…”

Section: Quantum Networkmentioning

confidence: 70%

Section: Quantum Networkmentioning

confidence: 99%

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Quantum computing in power systems

Zhou

Tang

Nikmehr

et al. 2022

iEnergy

Self Cite

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“…In [58], a new scheme is developed for resilient power grids by utilizing a quantum-direct communication (QDC) approach to provide very high secured communication. Instead of using the classical QKD method, this approach used QDC with a security scheme based on information theory.…”

Section: Smart Grids' Cyber Securitymentioning

confidence: 99%

Quantum computing for smart grid applications

Ullah

Eskandarpour

Zheng

et al. 2022

IET Generation Trans & Dist

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Computational complexities in modern power systems are reportedly increasing daily, and it is anticipated that traditional computers might be inadequate to provide the computation prerequisite in future complex power grids. In that given context, quantum computing (QC) can be considered a next‐generation alternative solution to deal with upcoming computational challenges in smart grids. The QC is a relatively new yet promising technology that leverages the unique phenomena of quantum mechanics in processing information and computations. This emerging paradigm shows a significant potential to overcome the barrier of computational limitations with better and faster solutions in optimization, simulations, and machine learning problems. In recent years, substantial progress in developing advanced quantum hardware, software, and algorithms have made QC more feasible to apply in various research areas, including smart grids. It is evident that considerable research has already been carried out, and such efforts are remarkably continuing. As QC is a highly evolving field of study, a brief review of the existing literature will be vital to realize the state‐of‐art on QC for smart grid applications. Therefore, this article summarizes the research outcomes of the most recent papers, highlights their suggestions for utilizing QC techniques for various smart grid applications, and further identifies the potential smart grid applications. Several real‐world QC case studies in various research fields besides power and energy systems are demonstrated. Moreover, a brief overview of available quantum hardware specifications, software tools, and algorithms is described with a comparative analysis.

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“…[18] develops a QKD-based quantum network framework for power grids. [19] presents a quantum direct communication network for electric power grids. [20] and [21] briefly introduce the principle of quantum communication and potential power network applications.…”

Section: Introductionmentioning

confidence: 99%

Enabling Resilient Quantum-Secured Microgrids Through Software-Defined Networking

Tang

Zhang

Krawec

2022

IEEE Trans. Quantum Eng.

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Quantum key distribution (QKD) has been considered a potent and mature approach to secure communication in the quantum era. However, there exist resilience gaps that hinder the practical usefulness of QKD. This paper improves the resilience of a QKD-based microgrid by leveraging software-defined networking (SDN). Specifically, the following contributions have been made: 1) a novel QKD-and SDNbased communication framework is devised for microgrids; 2) an enhanced QKD simulator (QKDS+) is developed, which can simulate both the number of generated keys and the amount of classical data required, providing a more accurate QKD study in microgrids; 3) an SDN-based resilience enhancement strategy, which incorporates three practical SDN applications, is developed to improve the system's resilience; and 4) a QKD-and SDN-enabled cyber-physical microgrid prototype is built in an RTDS environment using real whitebox SDN switches. Extensive case studies validate the effectiveness and excellent performance of SDN to improve the resilience of QKD-based microgrids in various situations.

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Quantum internet for resilient electric grids

Cited by 15 publications

References 9 publications

Quantum computing in power systems

Quantum computing in power systems

Quantum computing for smart grid applications

Enabling Resilient Quantum-Secured Microgrids Through Software-Defined Networking

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