A Distributed Multimodel Cosimulation Platform to Assess General Purpose Services in Smart Grids

Barbierato, Luca; Estebsari, Abouzar; Bottaccioli, Lorenzo; Macii, Enrico; Patti, Edoardo

doi:10.1109/tia.2020.3010481

Cited by 14 publications

(5 citation statements)

References 32 publications

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“…In this section, we describe our testing methodology for the 3SMA unit and the distributed metering infrastructure defined in Section III. To perform the verification phase, we exploit the multi-model co-simulation platform introduced by Barbierato et al [39]. This platform provides an environment to realistically simulate different smart grid scenarios.…”

Section: Case Study and Experimental Setupmentioning

confidence: 99%

“…As described in Section II, one of the crucial aspects for any service implemented on a smart grid is the communication latency required to fulfill a request (measured as the time passed from the moment in which the event has been discovered and the final actuation). To take into account the Internet congestion during our evaluation, we use some of the features provided by our multi-model co-simulation platform [39]. Indeed, this platform integrates different network simulators to realistically simulate a Metropolitan Area Network (MAN).…”

Section: Case Study and Experimental Setupmentioning

confidence: 99%

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A Smart Meter Infrastructure for Smart Grid IoT Applications

Orlando

Estebsari

Pons

et al. 2022

IEEE Internet Things J.

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Electric infrastructures have been pushed forward to handle tasks they were not originally designed to perform. To improve reliability and efficiency, state-of-the-art power grids include improved security, reduced peak loads, increased integration of renewable sources, and lower operational costs. In this framework, "smart grids" are built around bidirectional communication technologies, where "smart meters" communicate with all other entities and collect data from the power grid, offering specific features to each actor playing in the energy marketplace. In this paper, to overcome some of the challenges raised by smart grids and smart meters, we propose a distributed metering infrastructure which provides bidirectional communication, self-configuration, and auto-update capabilities. Our 3-phase smart meters follow the basics Internet-of-Things principles and have the ability to run, either on-board or distributed on the network, multiple algorithms for smart grid management. These algorithms can be freely added, updated, or removed on-the-fly thanks to the auto-update feature of the system. Moreover, to reduce costs and improve scalability, we prove that it is possible to implement our smart meters using only off-the-shelf and inexpensive hardware devices. A digital real-time simulator (i.e., Opal-RT) has been used to assess the capabilities of both the infrastructure and the meter. Our experimental analysis shows that the latency introduced by the data transmission over the Internet is compliant with the limits imposed by the IEC 61850 standard. As a consequence, our architecture does not affect the operational status of the smart grid, making it a viable solution to support the deployment of novel services.

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Section: Case Study and Experimental Setupmentioning

confidence: 99%

Section: Case Study and Experimental Setupmentioning

confidence: 99%

A Smart Meter Infrastructure for Smart Grid IoT Applications

Orlando

Estebsari

Pons

et al. 2022

IEEE Internet Things J.

Self Cite

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“…As a result, considering the interdependence between both networks is essential when studying the performance of the power or communication networks. Nevertheless, this integration intensifies vulnerability and cyber-attack threats [3]. With the increase in the dependency of CPPS on communication networks, several vulnerabilities can affect the system's performance in and minimizing the reliance on the utility grid [18].…”

Section: Introductionmentioning

confidence: 99%

Assessment of Cyber-Physical Inverter-Based Microgrid Control Performance under Communication Delay and Cyber-Attacks

Ali,

Nguyen,

Mohammed

2024

Applied Sciences

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The integration of communication infrastructures into traditional power systems, transforming them into cyber-physical power systems (CPPS), accentuates the significance of communication in influencing system performance and sustainability. This paper presents a versatile, innovative cyber-physical co-simulation framework that integrates the physical power system and communication networks, uniting OPAL-RT, a network simulator (ns3), and Docker containers into a sophisticated platform, facilitating intensive studies into CPPS dynamics. The proposed experimental study provides an innovative way to assess the frequency control response of a cyber-physical inverter-based microgrid (MG), addressing the MG sustainability challenges. We consider diverse real-world scenarios, focusing on communication delays and distributed denial of service (DDoS) attacks within the communication channels. We propose a precise ns3-based communication model that bridges the MG’s primary and secondary control layers, an aspect often overlooked in previous studies; this is a noteworthy contribution to elucidating the adverse impacts of communication latency on MG frequency performance. The experimental results demonstrate the effectiveness of the centralized secondary controller in eliminating the frequency deviations. Furthermore, the findings offer insights into stable and unstable regions, revealing how the communication delay value affects the frequency stability under different operating conditions. In addition, the developed real-time DDoS attacks model within the proposed communication surface unveils crucial insights into the MG’s resilience to cyber threats. This work’s revelations offer a foundational awareness of MG vulnerabilities, paving the way for designing robust and resilient communication networks and control strategies within the cyber-physical inverter-based microgrids.

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“…The ontological representation provides a common ground for a set of notations used for models used in different layers. Multimodel co-simulation platform has been described in (Barbierato et al, 2020) based on different SGAM layers representing general-purpose services in smart grids. The co-simulation platform will help validate different smart grid policies in the form of algorithms thus facilitating interoperability between different virtual and physical devices (like circuit breakers, isolators, smart meters, etc.)…”

Section: Introductionmentioning

confidence: 99%