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) in smart grids; in particular, several proposals aim to realize interworking between IoT and smart grid communication standards, allowing exchange of information between IoT devices and the electrical grid components. Semantic interoperability should be achieved in an interworking solution in order to provide a common meaning of the data exchanged by heterogeneous devices, even if they belong to different domains. Until now, semantic interoperability remains an open challenge in the smart grid field. The paper aims to propose a novel solution of interworking between two of the most used communication systems in smart grids and IoT domains, i.e., IEC 61850 and oneM2M, respectively. A semantic interoperability solution is also proposed to be used in the interworking scheme here presented.

Highlights

  • Semantic interoperability should be achieved in an interworking solution in order to provide a common meaning of the data exchanged by heterogeneous devices, even if they belong to different domains

  • Has been enriched by a semantic interoperability approach, as said before. It is based on the definition of a common ontology, able to put into relationship the elements belonging to the ontologies adopted by the two interworked communication systems; this allows an exchange of information between the two different domains, allowing devices of the domains to understand the meaning of the data exchanged

  • The generic representation of a Logical Node is done via GenLogicalNodeClass, which consists of a unique name, LNName, LNRef representing the path of that logical nodes (LNs), and DataObject contained by the instance of that LN

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Summary

Introduction

The smart grid (SG) concept is based on a new vision of the electric grid, which includes the maximization of the distribution of energy demand, the minimization of losses and the integration of renewable energy sources on a large scale, as pointed out in [1,2,3]. The interworking solution proposed between IEC 61850 and oneM2M has been enriched by a semantic interoperability approach, as said before It is based on the definition of a common ontology, able to put into relationship the elements belonging to the ontologies adopted by the two interworked communication systems; this allows an exchange of information between the two different domains, allowing devices of the domains to understand the meaning of the data exchanged. From the engineering design point of view, the paper aims to define an interworking proxy able to map the digital representation of each IEC 61850 electrical resource into another digital representation compliant with oneM2M standard This design allows a generic IoT device and/or application based on oneM2M standard to access information maintained by IEC 61850 Server and related to the smart grid devices. The and last step achieved in the methodological approach here presented was the definition of the interoperable interworking solution, which will be described by Section 7

Related Work
The IEC 61850 Standard
IEC 61850 SCL
Ontology Definition for IEC 61850
SAREF and SAREF4ENER Ontology
Extending SAREF4ENER Ontology for IEC 61850
The oneM2M Standard
TheThe
The oneM2M Ontology-Based Interworking
The In and IEC61850‐SAREF4ENER
12. Common
Interworking Proposal
Realisation of the oneM2M Ontology-Based Interworking
IPE Activities at Start-Ip
IPE Activities at
IPE Activities at Run‐Time
IPE Activities at Run-Time
Retrieving Information Produced by IEC 61850 Server
Updating Information to IEC 61850 Server
Invoking Services
Invoking
Final Remarks
Full Text
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