Co-Simulation of Interconnection Between Smart Power Grid and Smart Cities Platform via Massive Machine-Type Communication

With the advent of Industry 5.0, the electrical sector has been endowed with intelligent devices that are propelling high penetration of distributed energy microgeneration, VPP, smart buildings, and smart plants and imposing new challenges on the sector. This new environment requires a smarter network, including transforming the simple electricity customer into a "smart customer" who values the quality of energy and its rational use. The SPG (smart power grid) is the perfect solution for meeting these needs. It is crucial to understand energy use to guarantee quality of service and meet data security requirements. The use of simulations to map the behavior of complex infrastructures is the best strategy because it overcomes the limitations of traditional analytical solutions. This article presents the ICT laboratory structure developed within the Department of Electrical Engineering of the Polytechnic School of the Universidade de São Paulo (USP). It is based on an architecture that utilizes LTE/EPC wireless technology (4G, 5G, and B5G) to enable machine-to-machine communication (mMTC) between SPG elements using edge computing (MEC) resources and those of smart city platforms. We evaluate this proposal through simulations using data from real and emulated equipment and co-simulations shared by SPG laboratories at POLI-USP. Finally, we present the preliminary results of integration of the power laboratory, network simulation (ns-3), and a smart city platform (InterSCity) for validation and testing of the architecture.

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Publication Details

Journal
Sensors
Published
2025-03-01
DOI
https://doi.org/10.3390/s25051517
Citations
4
Primary Topic
Smart Grid Security and Resilience
Type
article
Field-Weighted Citation Impact
4.86

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article

Co-Simulation of Interconnection Between Smart Power Grid and Smart Cities Platform via Massive Machine-Type Communication

Milana Lima dos Santos, Luı́s Rodrigues, Carlos Frederico Meschini Almeida, Nelson Kagan et al.
4 citations
Sensors
Smart Grid Security and Resilience
4.86
article

Co-Simulation of Interconnection Between Smart Power Grid and Smart Cities Platform via Massive Machine-Type Communication

Milana Lima dos Santos, Luı́s Rodrigues, Carlos Frederico Meschini Almeida, Nelson Kagan, Luiz Henrique Leite Rosa
article en
4 citations

Abstract

With the advent of Industry 5.0, the electrical sector has been endowed with intelligent devices that are propelling high penetration of distributed energy microgeneration, VPP, smart buildings, and smart plants and imposing new challenges on the sector. This new environment requires a smarter network, including transforming the simple electricity customer into a "smart customer" who values the quality of energy and its rational use. The SPG (smart power grid) is the perfect solution for meeting these needs. It is crucial to understand energy use to guarantee quality of service and meet data security requirements. The use of simulations to map the behavior of complex infrastructures is the best strategy because it overcomes the limitations of traditional analytical solutions. This article presents the ICT laboratory structure developed within the Department of Electrical Engineering of the Polytechnic School of the Universidade de São Paulo (USP). It is based on an architecture that utilizes LTE/EPC wireless technology (4G, 5G, and B5G) to enable machine-to-machine communication (mMTC) between SPG elements using edge computing (MEC) resources and those of smart city platforms. We evaluate this proposal through simulations using data from real and emulated equipment and co-simulations shared by SPG laboratories at POLI-USP. Finally, we present the preliminary results of integration of the power laboratory, network simulation (ns-3), and a smart city platform (InterSCity) for validation and testing of the architecture.

SensorsVol. 25(5)
Federal Institute of São Paulo (BR), Universidade de São Paulo (BR)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Industry, innovation and infrastructure
Openalex Percentile: Top 6%
Smart Grid Security and Resilience
4.86
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