2021
DOI: 10.3390/s21072571
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Semantic Interoperability between IEC 61850 and oneM2M for IoT-Enabled Smart Grids

Abstract: In the era of Industry 4.0, pervasive adoption of communication technologies based on the Internet of Things represents a very strong requirement in several domains. In the smart grid domain, there is the need to overcome one of the main limitations of the current electric grid, allowing the use of heterogeneous devices capable of measuring, monitoring and exchanging information about grid components. For this reason, current literature often presents research activities about enabling internet of things (IoT)… Show more

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Cited by 12 publications
(5 citation statements)
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“…Their purpose varies from detecting malicious information or attacks to the grid, connection between smart devices, efficient energy management, secure data transmission, overall performance of electrical and smart grid, better periods for sale and buy energy, architecture design, security, and integration of grids. The works of Alonso et al [70] and Cavalieri [89] using the IEC61850 Protocol can be highlighted, showing us an applicable field of research with a view to homogenizing the algorithms and protocols used by Smart Grids and achieve an integration of all elements that conform them. Green-RPL [53] Local positive degree coupling [44] IEE 802.11s [33] Web Of Energy [67] Dynamic Barrier Coverage [68] IEC61850 [70,89] Wind-driven bacterian foraging algorithm [86] Data Slicing [87] TSUBE energy trading algorithm [91] Stochastic Geometry [92] Rectangular quadrature amplitude modulation [37] Policy-based group authentication algorithm [103] Mapping interface integration COIIoT [99,104] Nash Equilibrium (NE) and the Bayesian NE [105] Wireless sensor network protocol [35,50,53,63,73,[76][77][78]98,108,110] Algorithmic Approach [36,37,48,52,93,107,109] Furthermore, Figure 6c shows the Protocols Applied in Smart Grid Algorithms, pointing out that these technologies are varied and abundant, since 46% concentrate 14 different prot...…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Their purpose varies from detecting malicious information or attacks to the grid, connection between smart devices, efficient energy management, secure data transmission, overall performance of electrical and smart grid, better periods for sale and buy energy, architecture design, security, and integration of grids. The works of Alonso et al [70] and Cavalieri [89] using the IEC61850 Protocol can be highlighted, showing us an applicable field of research with a view to homogenizing the algorithms and protocols used by Smart Grids and achieve an integration of all elements that conform them. Green-RPL [53] Local positive degree coupling [44] IEE 802.11s [33] Web Of Energy [67] Dynamic Barrier Coverage [68] IEC61850 [70,89] Wind-driven bacterian foraging algorithm [86] Data Slicing [87] TSUBE energy trading algorithm [91] Stochastic Geometry [92] Rectangular quadrature amplitude modulation [37] Policy-based group authentication algorithm [103] Mapping interface integration COIIoT [99,104] Nash Equilibrium (NE) and the Bayesian NE [105] Wireless sensor network protocol [35,50,53,63,73,[76][77][78]98,108,110] Algorithmic Approach [36,37,48,52,93,107,109] Furthermore, Figure 6c shows the Protocols Applied in Smart Grid Algorithms, pointing out that these technologies are varied and abundant, since 46% concentrate 14 different prot...…”
Section: Discussionmentioning
confidence: 99%
“…Integration of electrical grid's devices represent a challenge in terms of interoperability for allowing IoT technologies performance in the smart grid domain. Cavalieri [89] proposes an inter-working scheme based on the M2M ontology. The authors considered the common ontology between IEC61850 and M2M for giving place to data interchange among devices thanks to the standard one M2M IPE proposed, as well as a definition of common ontology that enriches standard definition of M2M documents.…”
Section: Not Definedmentioning
confidence: 99%
“…The current literature presents several studies about enabling IoT in the SG, typically referred as IoT-enabled SG [ 17 , 18 , 19 , 20 ].…”
Section: Related Workmentioning
confidence: 99%
“…The most common domain-specific smart energy data use cases which have been explored in recent research projects using semantic ontologies are smart home, demand response management, energy managements and micro-grids. The most related ontologies have been summarized in [23][24][25]. In [24], the authors review existing ontologies in the smart energy domain and propose the SARGON ontology which is an extension of SAREF for cross-cutting domain-specific information and engaging smart grid with building energy automation sector.…”
Section: Ontologies In Energy Domainmentioning
confidence: 99%