An IEC 61850-90-5 gateway for IEEE C37.118.2 synchrophasor data transfer

Firouzi, Seyed Reza; Vanfretti, Luigi; Ruiz-Alvarez, Albert; Mahmood, Farhan; Hooshyar, Hossein; Cairó, Ignasi

doi:10.1109/pesgm.2016.7741393

Cited by 11 publications

(6 citation statements)

References 3 publications

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“…The exchanged information, shown in the figure, is consistent with the specification of the inputs/outputs of the functions, explained in the previous section. In addition, as the figure indicates, IEC 61850-7-4 is used for the data modeling of the PMU measurements that are mapped to the logical node MMXU data objects of the IEC 61850 standard [14]. This is consistent with the communication protocol, used to transfer the synchrophasors, which will be further discussed in the next section.…”

Section: Development Of the Information Layermentioning

confidence: 96%

“…As the figure shows, while the synchrophasors are transmitted on IEC 61850-90-5 protocol, the derived dynamic information are communicated on an arbitrary Web Service which can be any protocol using the TCP/IP or UDP/IP client-server mechanism. It is worth noting that a gateway has been developed in the IDE4L project to transmit the PMU data on IEC 61850-90-5 protocol [14,15]. The gateway allows to transfer the PMU data by mapping and encapsulating the synchrophasors (that are already mapped to the MMXU data objects) in GOOSE or Sampled Value messages and sending them over UDP/IP.…”

Section: E Development Of the Communication Layermentioning

confidence: 99%

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A SGAM-based architecture for synchrophasor applications facilitating TSO/DSO interactions

Hooshyar

Vanfretti

2017

2017 IEEE Power &Amp; Energy Society Innovative Smart Grid Technologies Conference (ISGT)

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A SGAM-based architecture for synchrophasor applications facilitating TSO/DSO interactions.In: IEEE N.B. When citing this work, cite the original published paper.© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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Section: Development Of the Information Layermentioning

confidence: 96%

Section: E Development Of the Communication Layermentioning

confidence: 99%

A SGAM-based architecture for synchrophasor applications facilitating TSO/DSO interactions

Hooshyar

Vanfretti

2017

2017 IEEE Power &Amp; Energy Society Innovative Smart Grid Technologies Conference (ISGT)

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“…For distributed energy resource generation forecasting communication, it has been assumed that PDR should be close to 0 [25]. Concerning the PMU traffic model, Table 1 was populated using the PMU applications requirements published by the North American SynchroPhasor Institute (NAPSI) [9] in addition to the IEEE C37.118.2 standard for PMU-generated synchrophasor data transmission [26], [27]. [4], [9], [23]- [25].…”

Section: B Traffic Model Of the Microgrid Applicationsmentioning

confidence: 99%

High-Reliability Multi-Agent Q-Learning-Based Scheduling for D2D Microgrid Communications

et al. 2019

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This paper proposes a multi-agent Q-learning-based resource allocation algorithm that allows long-term evolution (LTE)-enabled device-to-device (D2D) communication agents to generate the orthogonal transmission schedules outside the network coverage. This algorithm reduces packet drop rates (PDR) in distributed D2D communication networks to meet the quality-of-service requirements of the microgrid communications. The data traffic characteristics of three archetypal smart grid applications, namely demand response, solar, and generation forecasting, and synchrophasor communications, were simulated under seven different traffic congestion scenarios, where the total aggregate throughput of users ranged from 50% to 140% channel utilization. The PDR and latency performance of the proposed algorithm were compared with the existing random self-allocation mechanism introduced under the Third-Generation Partnership Project's LTE Release 12 standard for such scenarios. Our algorithm outperformed the LTE algorithm for all tested scenarios, demonstrating 20%-40% absolute reductions in PDR and 10-20-ms reductions in latency for all microgrid applications. The use of our algorithm in a simulated D2D-enabled demand response application resulted in a hundredfold reduction in power oscillations about the desired power flows.

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“…Synchrophasor standards: Multiple standards exist for PMU data measurement, transfer and communication, proposed by IEEE, the National Institute of Standards & Technology (NIST), the North American Electric Reliability Commission (NERC) and the International Electrotechnical Commission (IEC) [90][91][92][93][94][95][96][97]. Due to multiple specifications and guidelines, there are possible contradictions in recommendations [70][71][72][73]98].…”

Section: Architecture Applications Challengesmentioning

confidence: 99%

Survey on synchrophasor data quality and cybersecurity challenges, and evaluation of their interdependencies

Sundararajan

Khan

Moghadasi

2018

J. Mod. Power Syst. Clean Energy

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Synchrophasor devices guarantee situation awareness for real-time monitoring and operational visibility of the smart grid. With their widespread implementation, significant challenges have emerged, especially in communication, data quality and cybersecurity. The existing literature treats these challenges as separate problems, when in reality, they have a complex interplay. This paper conducts a comprehensive review of quality and cybersecurity challenges for synchrophasors, and identifies the interdependencies between them. It also summarizes different methods used to evaluate the dependency and surveys how quality checking methods can be used to detect potential cyberattacks. In doing so, this paper serves as a starting point for researchers entering the fields of synchrophasor data analytics and security.

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An IEC 61850-90-5 gateway for IEEE C37.118.2 synchrophasor data transfer

Cited by 11 publications

References 3 publications

A SGAM-based architecture for synchrophasor applications facilitating TSO/DSO interactions

A SGAM-based architecture for synchrophasor applications facilitating TSO/DSO interactions

High-Reliability Multi-Agent Q-Learning-Based Scheduling for D2D Microgrid Communications

Survey on synchrophasor data quality and cybersecurity challenges, and evaluation of their interdependencies

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