The integration of information and communication technology in the smart grid has introduced cybersecurity challenges to traditional communication solutions, which threatens data integrity and confidentiality in microgrid control. This paper proposed a measurement-device-independent quantum key distribution (MDI-QKD) based microgrid control architecture to ensure the security of control and measurement dataflows in microgrids. The following contributions are made in this work: 1) A novel quantum secure microgrid control architecture is proposed to enhance the cybersecurity in microgrid. 2) MDI-QKD with asymmetric protocols is offered in the QKD-enabled microgrid control process. 3) A method of fast parameter optimization based on neural network is presented to enable the QKD network to rapidly adapt the changes of communication environments. Simulation results show how the quantum secure microgrid control architecture works in an islanded microgrid with 4 distributed generation units, and the testing of neural network proves the feasibility of our method.
The integration of information and communication technology in the smart grid has introduced cybersecurity challenges to traditional communication solutions, which threatens data integrity and confidentiality in microgrid control. This paper proposed a measurement-device-independent quantum key distribution (MDI-QKD) based microgrid control architecture to ensure the security of control and measurement dataflows in microgrids. The following contributions are made in this work: 1) A novel quantum secure microgrid control architecture is proposed to enhance the cybersecurity in microgrid. 2) MDI-QKD with asymmetric protocols is offered in the QKD-enabled microgrid control process. 3) A method of fast parameter optimization based on neural network is presented to enable the QKD network to rapidly adapt the changes of communication environments. Simulation results show how the quantum secure microgrid control architecture works in an islanded microgrid with 4 distributed generation units, and the testing of neural network proves the feasibility of our method.
The integration of information and communication technologies has introduced cybersecurity challenges to microgrid (MG) apart from bringing more flexibility, reliability, and resilience. Especially in the upcoming quantum era, the existing cryptographic systems are vulnerable to attacks from quantum computers. Motivated by these challenges, this article proposes a quantum-key-distribution (QKD)-based MG distributed control framework for cybersecurity enhancement. To defend the side-channel attacks and make the framework practical enough for industrial applications, measurement-device-independent QKD (MDI-QKD) is introduced. The following contributions are made in this work. 1) A novel QKD-based quantum-secure control architecture is established to assure the data transmission security in MG distributed control. 2) MDI-QKD with asymmetric protocol is used to form a scalable QKD network for MG control. 3) A method for fast parameter optimization based on deep neural network (DNN) is proposed to adjust the parameters in QKD systems in real-time. Simulations are carried on a 13-bus MG to demonstrate the working principles of the proposed control scheme. The test results also prove the feasibility of the DNN-based parameter optimizer.
Existing microgrid communication relies on classical public key systems, which are vulnerable to attacks from quantum computers. This paper uses quantum key distribution (QKD) to solve these quantum-era microgrid challenges. Specifically, this paper makes the following novel contributions: 1) it devises a novel QKD simulator capable of simulating QKD protocols; 2) it offers a QKD-based microgrid communication architecture for microgrids; 3) it shows how to build a quantum-secure microgrid testbed in an RTDS environment; 4) it develops a key pool sharing (KPS) strategy to improve the cyberattack resilience of the QKD-based microgrid; and 5) it analyzes the impacts of critical QKD parameters with the testbed. Test results provide insightful resources for building a quantum-secure microgrid.
Smart grid depends on an advanced communication network to collect information from the power grid, and to disseminate control commands to the control devices. To safeguard the power grid, it is crucial to ensure information confidentiality in the communication networks. Quantum key distribution (QKD) protocols help in generating, and distributing secret keys between communication parties, and such secret keys are required in symmetric cryptography. The combination of QKD protocols, and symmetric cryptography are known to be unconditionally secure, which means information confidentiality can be guaranteed even against an eavesdropper, who has unlimited resources. This article provides a concise review of existing works on QKD protocols, and their applications in smart grid communications. Deploying QKD protocols in smart grid is challenging because distance between the control center, and control devices can be larger than the limits of existing protocols. Also, QKD protocols require an expensive quantum channel between each pair of sender, and receiver nodes, and there is large number of control devices with diverse capabilities in smart grid. We have classified existing works based on the challenges they have dealt with. Compared to the rich literature on QKD protocols in general, there are significantly fewer works in the specific context of smart grid. This can be an indication for opportunity to make a significant contribution. We have also identified a few research challenges that can be potential future works.
The classical key distribution systems used for data transmission in networked microgrids (NMGs) rely on mathematical assumptions, which however can be broken by attacks from quantum computers. This paper addresses this quantum-era challenge by using quantum key distribution (QKD). Specifically, the novelty of this paper includes 1) a QKD-enabled communication architecture it devises for NMGs, 2) a real-time QKD- enabled NMGs testbed it builds in an RTDS environment, and 3) a novel two-level key pool sharing (TLKPS) strategy it designs to improve the system resilience against cyberattacks. Test results validate the effectiveness of the presented strategy, and provide insightful resources for building quantum-secure NMGs.
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 SDN-based 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.
The modernization of distributed energy systems introduces complex cybersecurity challenges as grid infrastructures become increasingly digitized, decentralized, and web-connected. This paper presents a novel security architecture that integrates quantum key distribution (QKD) with semantic web technologies to provide end-to-end secure, scalable, and adaptive protection for distributed energy resource (DER) networks. The proposed framework features a modular system design, incorporating BB84-based QKD protocols for quantum-resilient key generation, a metadata-driven policy layer using OWL ontologies and SWRL reasoning, and a web interface for operator access and real-time monitoring. Extensive performance evaluation in a simulated multi-domain microgrid environment demonstrates that the system achieves an average key generation rate of 2.3 kbps with quantum bit error rate (QBER) maintained below 5.2% across 40 km optical links. Session establishment latency averaged 435 ms, 29.8% lower than a traditional TLS/PKI baseline, while semantic access validation achieved 100% accuracy in 42 adversarial test cases. These cases were evaluated using automated semantic validation scripts simulating spoofed roles, malformed sessions, and unauthorized requests. The system sustained encrypted throughput of 110 messages per second per node and maintained service continuity under quantum noise and cross-domain attack simulations. Usability trials with six engineers yielded a system usability scale (SUS) score of 88.3, and the average DER onboarding time was reduced from 10.1 to 5.5 minutes. These findings affirm that QKD-enhanced, semantically governed web architectures can provide strong cryptographic guarantees while supporting dynamic policy enforcement and intuitive user workflows. The proposed solution demonstrates a viable path for deploying future-proof security mechanisms in next-generation smart grid environments.