SDN-Enabled Cyber-Physical Security in Networked Microgrids

Li, Yan; Qin, Yanyuan; Zhang, Peng; Herzberg, Amir

doi:10.1109/tste.2018.2889451

Cited by 46 publications

(17 citation statements)

References 22 publications

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“…Such information can be useful as researchers consider further integration of SDNenabled devices into the microgrid. Securing Communications stack 1) Network verification against security policies maintained by the controller global view [13] 2) Securing routing and transmission links via end-to-end encryption [2], [15] 3) Designing cyber-security protocols for integration in the communication stack [85] 4) Taking advantage of embedded security in wireless technologies [85] eg implementation of the secure by design concept [86] 5) Host authentication in data communications such as the implementation of a host-checker in the controller [87] Early attack detection 1) Advancement in pattern, anomaly and third party detection [15] 2) Anomaly detection based on machine learning approaches [88] 3) Distributed detection scheme using multiple state observers to minimize localized attacks (antistealth strategy) [89], [90] 4) Software-defined active synchronous detection (SDASD) [87] Early attack mitigation 1) Self-healing/ Self-recovery systems [4], [13], [91] 2) Increasing the signal to noise ratio to mitigate jamming [92] 3) Use of cryptographic signatures [93] 4) introduction of redundant communication link to be used during attacks [91] 5) introduction of ultra-fast network programmability [4] The DERs and associated loads in the microgrid can also be investigated for SDN control and support. Such support can enable close coupling between SDN controllers and the DERs/loads, ultimately increasing the management flexibility and efficiency.…”

Section: A Upgrading Of Hardware To Support Sdn-based Operationmentioning

confidence: 99%

Software-Defined Power Grids: A Survey on Opportunities and Taxonomy for Microgrids

et al. 2021

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Future generation power grids will require the introduction and deployment of distributed energy resources to meet modern day load requirements. Consequently, we expect to see a rise in microgrids (MGs) existing as part of the main grid (grid-connected) or independent (islanded). Contained in these microgrids are a combination of energy resources such as solar, wind and fossil-fuels coupled with storage devices, electric vehicles and smart devices supporting prosumer operation. However, the addition of renewable energy resources would mean fluctuations in energy supply which would cause power system instability if not managed effectively. Hence, to maximize the management flexibility of MGs, the concept of microgrid software-definition is introduced. A concept that can be looked at as giving the microgrid an operating system to improve operation response and event detection by maintaining a global view of the network. This paper therefore critically analyses what this entails by presenting an architecture for Software-Defined Microgrids and discussing the management opportunities that softwarization of the MG introduces. We also highlight the design requirements and associated challenges in implementing and deploying SDMGs.INDEX TERMS Energy balancing, grid resiliency, microgrids, power grid management, software-defined networking, smart grids.

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Section: A Upgrading Of Hardware To Support Sdn-based Operationmentioning

confidence: 99%

Software-Defined Power Grids: A Survey on Opportunities and Taxonomy for Microgrids

et al. 2021

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“…10 is used to evaluate the performance of PQNMs in this study. This system is based on the NMs model from [40] with control centers and varying loads added. It contains six microgrids, and can operate in either grid-connected or islanded mode depending on whether the circuit breaker between buses 2 and 3 is closed or open.…”

Section: Test and Validationmentioning

confidence: 99%

“…The DERs in this NMs system include three PV systems, two fuel cells, and five battery storages. More details on the system can be found in [40].…”

Section: Test and Validationmentioning

confidence: 99%

Programmable Quantum Networked Microgrids

Tang

Zhang

Krawec

et al. 2020

IEEE Trans. Quantum Eng.

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Quantum key distribution (QKD) provides a potent solution to securely distribute keys for two parties. However, QKD itself is vulnerable to denial of service (DoS) attacks. A flexible and resilient QKD-enabled networked microgrids (NMs) architecture is needed but does not yet exist. In this article, we present a programmable quantum NMs (PQNMs) architecture. It is a novel framework that integrates both QKD and software-defined networking (SDN) techniques capable of enabling scalable, programmable, quantum-engineered, and ultra-resilient NMs. Equipped with a software-defined adaptive post-processing approach, a two-level key pool sharing strategy and an SDN-enabled event-triggered communication scheme, these PQNMs mitigate the impact of DoS attacks through programmable post-processing and secure key sharing among QKD links, a capability unattainable using existing technologies. Through comprehensive evaluations, we validate the benefits of PQNMs and demonstrate the efficacy of the presented strategies under various circumstances. Extensive results provide insightful resources for building QKD-enabled NMs in practice.INDEX TERMS Networked microgrids, quantum key distribution, software-defined networking.

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“…} k is the voltage deviation at the interface bus k. Then V i,s will be used to update the voltage of other buses in Microgrid i via (3).…”

Section: ) Power Dispatch Modementioning

confidence: 99%

“…Networked microgrids (NMs) is a new paradigm [1]- [3] which unlocks the potentials of microgrids such as enabling the power exchange among microgrids [4], the pooling of generating capacities in microgrid clusters for supporting critical loads, and even quickly blackstarting main grid after major blackout [5]. An indispensable function for planning and operation of NMs is power flow calculation which, however, remains an open challenge.…”

Section: Introductionmentioning

confidence: 99%

Compositional Power Flow for Networked Microgrids

Zhang

Chen

2019

IEEE Power Energy Technol. Syst. J.

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In this paper, a compositional power flow (ComPF) is devised for networked microgrids to take into account power sharing and voltage regulation between microgrids while preserving data privacy of each microgrid. The main contributions of the ComPF include: 1) devising an advanced-droop-controlbased power flow to incorporate distributed energy resources and load droops within microgrids and 2) establishing an adaptive-secondary-control-based compositional power flow scheme to account for power sharing and voltage regulation between microgrids. As an inherently distributed method, the ComPF supports plug-and-play of microgrids and preserves customer privacy. INDEX TERMS ComPF, advanced droop control, adaptive secondary control, privacy preserving.

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SDN-Enabled Cyber-Physical Security in Networked Microgrids

Cited by 46 publications

References 22 publications

Software-Defined Power Grids: A Survey on Opportunities and Taxonomy for Microgrids

Software-Defined Power Grids: A Survey on Opportunities and Taxonomy for Microgrids

Programmable Quantum Networked Microgrids

Compositional Power Flow for Networked Microgrids

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