Communication Protocols for the IoT-Based Smart Grid

2018 ◽  
pp. 55-83 ◽  
Author(s):  
Sotirios K. Goudos ◽  
Panagiotis Sarigiannidis ◽  
Panagiotis I. Dallas ◽  
Sofoklis Kyriazakos
Keyword(s):  
Smart Grid ◽  
Communication Protocols

A Comparison of Application Layer Communication Protocols in IoT-enabled Smart Grid

2020 ◽  
Author(s):  
Lucija Sikic ◽  
Jasna Jankovic ◽  
Petar Afric ◽  
Marin Silic ◽  
Zeljko Ilic ◽  
...  
Keyword(s):  
Smart Grid ◽  
Communication Protocols ◽  
Application Layer

scholarly journals COIIoT - An Interface between CoAP and OSGP Protocols for the Integration of Internet of Things Devices with Smart Grids

2020 ◽  
Author(s):  
Felipe Viel ◽  
Luis Augusto Silva ◽  
Valderi Leithardt ◽  
Gabriel Villarubia González ◽  
Raimundo Celeste Ghizoni Teive ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Smart Grid ◽  
Smart Grids ◽  
Communication Protocols ◽  
High Volume ◽  
The Internet ◽  
Human Intervention ◽  
Exchange Information ◽  
Systems Architectures ◽  
The Internet Of Things

The evolution and miniaturization of the technologies for processing, storage, and communication have enabled computer systems to process a high volume of information and make decisions without human intervention. Within this context, several systems architectures and models have gained prominences, such as the Internet of Things (IoT) and Smart Grids (SGs). SGs use communication protocols to exchange information, among which the Open Smart Grid Protocol (OSGP) stands out. In contrast, this protocol does not have integration support with IoT systems that use some already consolidated communication protocols, such as the Constrained Application Protocol (CoAP). Thus, this work develops the integration of the protocols OSGP and CoAP to allow the communication between conventional IoT systems and systems dedicated to SGs. Results demonstrate the effectiveness of this integration, with the minimum impact on the flow of commands and data, making possible the use of the developed CoAP-OSGP Interface for Internet of Things (COIIoT).

scholarly journals Smart Management Consumption in Renewable Energy Fed Ecosystems

Sensors ◽  
2019 ◽  
Vol 19 (13) ◽  
pp. 2967 ◽  
Author(s):  
Francisco Javier Ferrández-Pastor ◽  
Juan Manuel García-Chamizo ◽  
Sergio Gomez-Trillo ◽  
Rafael Valdivieso-Sarabia ◽  
Mario Nieto-Hidalgo
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Smart Grid ◽  
Energy Management ◽  
Communication Protocols ◽  
Energy Generation ◽  
Cloud Services ◽  
Embedded Devices ◽  
Smart Services ◽  
Automation Systems

Advances in embedded electronic systems, the development of new communication protocols, and the application of artificial intelligence paradigms have enabled the improvement of current automation systems of energy management. Embedded devices integrate different sensors with connectivity, computing resources, and reduced cost. Communication and cloud services increase their performance; however, there are limitations in the implementation of these technologies. If the cloud is used as the main source of services and resources, overload problems will occur. There are no models that facilitate the complete integration and interoperability in the facilities already created. This article proposes a model for the integration of smart energy management systems in new and already created facilities, using local embedded devices, Internet of Things communication protocols and services based on artificial intelligence paradigms. All services are distributed in the new smart grid network using edge and fog computing techniques. The model proposes an architecture both to be used as support for the development of smart services and for energy management control systems adapted to the installation: a group of buildings and/or houses that shares energy management and energy generation. Machine learning to predict consumption and energy generation, electric load classification, energy distribution control, and predictive maintenance are the main utilities integrated. As an experimental case, a facility that incorporates wind and solar generation is used for development and testing. Smart grid facilities, designed with artificial intelligence algorithms, implemented with Internet of Things protocols, and embedded control devices facilitate the development, cost reduction, and the integration of new services. In this work, a method to design, develop, and install smart services in self-consumption facilities is proposed. New smart services with reduced costs are installed and tested, confirming the advantages of the proposed model.

scholarly journals Characteristic performance of smart substation

2018 ◽  
Author(s):  
◽  
Bhekinkosi Pheneas Madonsela
Keyword(s):  
Smart Grid ◽  
Power System ◽  
High Speed ◽  
Data Exchange ◽  
Operating Cost ◽  
Communication Protocols ◽  
Distribution Networks ◽  
Current Application ◽  
Automation Systems ◽  
Substation Automation

Automated substations and distribution networks are key element of smart grid, however not all substations and distribution networks are automated to date due to the numerous reasons such as cost related to automation and scarcity of skilful workforce. With the drive to integrate renewable energy to the national smart grid, the advanced and innovative integrating methodologies need to be investigated. Automating the power system is the effort to improve power supply security, availability and reliability. Reliability is very important in substation automation systems and is achieved through real-time monitoring of the substation data. The interconnection of substation through substation automation devices is crucial because it provide the backup link to the network in case one substation fails. The utilities has developed a remarkable interest in substation automation due to the benefit its offers such as; reduction in maintenance and, operating cost and improved revenues due to stable power system networks. Substation automation is made up of four main functions that need to be fused together; protection, control, monitoring and, local and remote communications. There are numerous communication protocols available in the market for substation automation applications. However not all of them are utilized in the current application of smart grid.DNP3 and IEC61850 are the leading communication protocols currently. DNP3 has proved its technical advantages over the past few years in substation automation applications. On other hand IEC61850 was only published in 2003 and became more popular in substation around 2006; the standard is only fifteen years old. IEC61850 define the protocols such as; GOOSE, SMV, GSSE, GSE and MMS using its communication profiles. This research will investigate the possibilities of integrating DNP3 data point into IEC61850 data model. With this approach; the legacy substation shown in figure 1.1 will inherit the advantages of IEC61850 such as high speed data exchange, interoperability and interchangeability

Communication protocols and algorithms for the smart grid [Guest Editorial]

2012 ◽  
Vol 50 (5) ◽  
pp. 126-127 ◽  
Author(s):  
Jaime Lloret ◽  
Pascal Lorenz ◽  
Abbas Jamalipour
Keyword(s):  
Smart Grid ◽  
Guest Editorial ◽  
Communication Protocols

scholarly journals Smart Grid Communication Protocols

2019 ◽  
Vol Volume-3 (Issue-2) ◽  
pp. 335-337
Author(s):  
Sahana V Sangam ◽  
Sahana S Kulkarni ◽  
Asst. Prof. Chaitanya K Jambotkar ◽  
Keyword(s):  
Smart Grid ◽  
Communication Protocols ◽  
Smart Grid Communication
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