scholarly journals Modeling and Integrating PV Stations into IEC 61850 XMPP Intelligent Edge Computing Gateway

Energies ◽  
2019 ◽  
Vol 12 (8) ◽  
pp. 1442 ◽  
Author(s):  
Chun-Hung Liu ◽  
Jyh-Cherng Gu
Keyword(s):  
Power Systems ◽  
Cyber Security ◽  
Data Privacy ◽  
Data Communication ◽  
Edge Computing ◽  
Area Network ◽  
Wide Area Network ◽  
Iec 61850 ◽  
Decision Latency ◽  
Information Models

Distributed energy resources (DERs) are being widely interconnected to electrical power grids. The dispersed and intermittent generational mixes bring technical and economic challenges to the power systems in terms of stability, reliability, and interoperability. In practice, most of the communication technologies in DER are provided by proprietary communication protocols, which are not designed for the prevention of cyber security over a wide area network, and methodology of DER integration is not unified. This has made it technically difficult for power utilities and aggregators to monitor and control the DER systems after they are interconnected with the electrical grids. Moreover, peer to peer communication between DER systems as well as local intelligent computation is required to reduce decision latency and enhance the stability of the smart grid or microgrid. In this paper, the first, novel architecture of IEC 61850 XMPP (extensible messaging and presence protocol) of the edge computing gateway, involving advanced concepts and technologies, was developed and completely studied to counter the abovementioned challenges. The results show that the proposed architecture can enhance the DER system’s effective integration, security in data communication and transparency for interoperability. The novel and advanced concepts involve first modeling the topology of the photovoltaic (PV) station to IEC 61850 information models according to the IEC 61850-7-4 logical nodes and the DER-specific logical nodes defined in IEC 61850-7-420. This guarantees the interoperability between DER and DER, DER and utility and DER and the energy service operator. The second step was to map the information models to IEC 61850-8-2 XMPP for the specific communication protocol in DER applications. XMPP protocol, a publish/subscribe communication mechanism, is recommended in DER applications because of its characteristics of cybersecurity and authenticated encryption. After that we enabled the edge computing capability for data processing and the analytics of the DER side for time-critical missions. The aggregated data was then sent to the control center in the cloud. By applying the edge computing architecture, the system reduced decision latency, improved data privacy and enhanced security. The goal of this paper was to introduce the practical methodologies of these novel concepts to academics and industrial engineers.

scholarly journals Data-Centric Communication Framework for Multicast IEC 61850 Routable GOOSE Messages over the WAN in Modern Power Systems

2020 ◽  
Vol 10 (3) ◽  
pp. 848 ◽  
Author(s):  
Tarek A. Youssef ◽  
Mohammad Mahmoudian Esfahani ◽  
Osama Mohammed
Keyword(s):  
Power Systems ◽  
Smart Grids ◽  
Area Network ◽  
Monitoring And Control ◽  
Wide Area Network ◽  
Iec 61850 ◽  
Control Center ◽  
Communication Framework ◽  
Data Distribution Service ◽  
Florida International University

In this paper, a data-centric communication framework is proposed for multicast routable generic object-oriented substation event (GOOSE) messages (MRGM) over the wide area network (WAN) for effective substation-to-substation (SS2SS) and substation to control center (SS2CC) communications. In this structure, the IEC 61850 GOOSE message is transmitted over the WAN using the data distribution service (DDS) as a fast, reliable, and secure data-centric communication middleware. The main feature of this framework is its multicast capability, where several authorized subscribers can receive a published message simultaneously. This can significantly improve the system monitoring and control of the protection systems in modern smart grids, where intelligent schemes can be applied. The effectiveness of the proposed platform, in terms of total end-to-end delay between participants, is evaluated through experimental results obtained from the actual hardware-based test setup developed at the Florida International University (FIU) smart grid testbed. The results demonstrate that the latency between sending and receiving a GOOSE message among participants is within its maximum time span defined by the IEC 61850-90-5 working group for communications over the WAN.

scholarly journals Gateway sink placement for sensor node grid distribution in lora smart city networks

2019 ◽  
Vol 14 (2) ◽  
pp. 834
Author(s):  
Nur Aishah Bt. Zainal ◽  
Mohamed Hadi Habaebi ◽  
Israth Jahan Chowdhury ◽  
Md Rafiqul Islam ◽  
Jamal I. Daoud
Keyword(s):  
Long Range ◽  
Smart City ◽  
Sensor Node ◽  
New Technology ◽  
Real Life ◽  
Data Communication ◽  
Area Network ◽  
Wide Area Network ◽  
Battery Lifetime ◽  
Wireless Communication Network

<span>Low Power Wide Area Network (LPWAN) is a type of wireless communication network designed to allow long range communications at a low bit rate among things (connected objects), such as sensors operated on a battery. It is a new technology that operates in unauthorized spectrum which designed for wireless data communication [1]. It is used in Internet of Thing (IoT) applications and M2M communications. It provides multi-year battery lifetime and is intended for sensors and applications that need to transmit only a few information over long distances a few times per hour from different environments. In order to have an insight of such long range technology, this paper evaluates the performance of LoRa radio links under shadowing effect and realistic smart city utilities node grid distribution. Such environment is synonymous to residential, industrial and modern urban centers. The focus is to include the effect of shadowing on the radio links while attempting to study the optimum sink node numbers and their locations for maximum sensor node connectivity. Results indicate that the usual unrealistic random node distribution does not reflect actual real-life scenario where many of the these sensing nodes follow the utilities infrastructure around the city (e.g., street light posts, water and gas delivery pipes,…etc). The system is evaluated in terms of connectivity and packet loss ratio.</span>

scholarly journals Information system based on the mathematical model of the EPS

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Maksat N. Kalimoldayev ◽  
Assel A. Abdildayeva ◽  
Orken Zh. Mamyrbayev ◽  
Maksat Akhmetzhanov
Keyword(s):  
Mathematical Model ◽  
Information System ◽  
Power Systems ◽  
Electric Power ◽  
Communication Systems ◽  
Data Communication ◽  
Information Models ◽  
Major Application ◽  
The Stability ◽  
Technological Management

Abstract This article discusses the structure of an information system, the mathematical and information models of electric power systems. Currently, the major application areas include system relaying data communication systems and automation, automated dispatching and technological management of electric power facilities, as well as computer-aided calculation of energy resources. Automatic control of excitation (ARV) synchronous machines is one of the most effective ways to ensure the stability of power systems. However, the variety of possible options and modes even in a single grid pose significant obstacles to the development of the best means of ensuring sustainability. Thus, the use of ARVs to ensure stability in some cases may not be sufficient. Therefore, there is a need to develop an information system based on a mathematical model.

scholarly journals Industrial Internet of Learning (IIoL): IIoT based pervasive knowledge network for LPWAN—concept, framework and case studies

2021 ◽  
Author(s):  
Jian Qin ◽  
Zhuoqun Li ◽  
Rui Wang ◽  
Li Li ◽  
Zhe Yu ◽  
...  
Keyword(s):  
Big Data ◽  
Energy Consumption ◽  
Cyber Attacks ◽  
Edge Computing ◽  
Knowledge Network ◽  
Area Network ◽  
Wide Area Network ◽  
Communication Management ◽  
Wireless Communication Network ◽  
Industrial Internet

AbstractIndustrial Internet of Things (IIoT) is performed based on the multiple sourced data collection, communication, management and analysis from the industrial environment. The data can be generated at every point in the manufacturing production process by real-time monitoring, connection and interaction in the industrial field through various data sensing devices, which creates a big data environment for the industry. To collect, transfer, store and analyse such a big data efficiently and economically, several challenges have imposed to the conventional big data solution, such as high unreliable latency, massive energy consumption, and inadequate security. In order to address these issues, edge computing, as an emerging technique, has been researched and developed in different industries. This paper aims to propose a novel framework for the intelligent IIoT, named Industrial Internet of Learning (IIoL). It is built using an industrial wireless communication network called Low-power wide-area network (LPWAN). By applying edge computing technologies in the LPWAN, the high-intensity computing load is distributed to edge sides, which integrates the computing resource of edge devices to lighten the computational complexity in the central. It cannot only reduce the energy consumption of processing and storing big data but also low the risk of cyber-attacks. Additionally, in the proposed framework, the information and knowledge are discovered and generated from different parts of the system, including smart sensors, smart gateways and cloud. Under this framework, a pervasive knowledge network can be established to improve all the devices in the system. Finally, the proposed concept and framework were validated by two real industrial cases, which were the health prognosis and management of a water plant and asset monitoring and management of an automobile factory.

scholarly journals Improving data communication on construction sites via LoRaWAN

2021 ◽  
Author(s):  
Rushi Dai ◽  
Orwa Diraneyya ◽  
Sigrid Brell-Çokcan
Keyword(s):  
Network Performance ◽  
Low Cost ◽  
Data Communication ◽  
Necessary Condition ◽  
Management Decision ◽  
Area Network ◽  
Construction Site ◽  
Wide Area Network ◽  
Construction Sites ◽  
Network Infrastructure

AbstractEasily-accessible and reliable data communication in construction processes ensures high building quality, efficient workflow and secure working environments. The setup of network infrastructure on construction sites provides the necessary condition for timely and effective data communication. This paper researches a solution for on-site networking by implementing an IoT network on a reference construction site in Germany. In contrast to high-cost and high-bandwidth network infrastructure, a Long Range Wide Area Network–LoRaWAN with low cost and low bandwidth was deployed on the site. With additional IoT servers and LoRa-enabled devices, the reference construction site is able to communicate remotely with a robotic lab. In order to validate this concept of LoRaWAN on construction sites, an intra-site logistics and task scheduling system was developed to test the network performance. This paper conducts a preliminary study on the application of the IoT network technology–LoRaWAN in the logistics automation in construction. The test results can be used as references for other automation applications, such as internet of robot, intelligent process management, decision making system, etc.

Solving the Internet Jurisdiction Puzzle

2017 ◽  
Author(s):  
Dan Jerker B. Svantesson
Keyword(s):  
International Law ◽  
Cyber Security ◽  
Data Privacy ◽  
Modern World ◽  
The Internet ◽  
Private International Law ◽  
Reform Initiatives ◽  
Legal Principles ◽  
Privacy Law ◽  
History Of

Internet jurisdiction has emerged as one of the greatest and most urgent challenges online, severely affecting areas as diverse as e-commerce, data privacy, law enforcement, content take-downs, cloud computing, e-health, Cyber security, intellectual property, freedom of speech, and Cyberwar. In this innovative book, Professor Svantesson presents a vision for a new approach to Internet jurisdiction––for both private international law and public international law––based on sixteen years of research dedicated specifically to the topic. The book demonstrates that our current paradigm remains attached to a territorial thinking that is out of sync with our modern world, especially, but not only, online. Having made the claim that our adherence to the territoriality principle is based more on habit than on any clear and universally accepted legal principles, Professor Svantesson advances a new jurisprudential framework for how we approach jurisdiction. He also proposes several other reform initiatives such as the concept of ‘investigative jurisdiction’ and an approach to geo-blocking, aimed at equipping us to solve the Internet jurisdiction puzzle. In addition, the book provides a history of Internet jurisdiction, and challenges our traditional categorisation of different types of jurisdiction. It places Internet jurisdiction in a broader context and outlines methods for how properly to understand and work with rules of Internet jurisdiction. While Solving the Internet Puzzle paints a clear picture of the concerns involved and the problems that needs to be overcome, this book is distinctly aimed at finding practical solutions anchored in a solid theoretical framework.

scholarly journals LPWAN-based hybrid backhaul communication for intelligent transportation systems: architecture and performance evaluation

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Taghi Shahgholi ◽  
Amir Sheikhahmadi ◽  
Keyhan Khamforoosh ◽  
Sadoon Azizi
Keyword(s):  
Low Power ◽  
Intelligent Transportation Systems ◽  
Intelligent Transportation System ◽  
Road Traffic ◽  
Intelligent Transportation ◽  
Traffic Monitoring ◽  
Transportation Systems ◽  
Area Network ◽  
Emergency Vehicle ◽  
Wide Area Network

AbstractIncreased number of the vehicles on the streets around the world has led to several problems including traffic congestion, emissions, and huge fuel consumption in many regions. With advances in wireless and traffic technologies, the Intelligent Transportation System (ITS) has been introduced as a viable solution for solving these problems by implementing more efficient use of the current infrastructures. In this paper, the possibility of using cellular-based Low-Power Wide-Area Network (LPWAN) communications, LTE-M and NB-IoT, for ITS applications has been investigated. LTE-M and NB-IoT are designed to provide long range, low power and low cost communication infrastructures and can be a promising option which has the potential to be employed immediately in real systems. In this paper, we have proposed an architecture to employ the LPWAN as a backhaul infrastructure for ITS and to understand the feasibility of the proposed model, two applications with low and high delay requirements have been examined: road traffic monitoring and emergency vehicle management. Then, the performance of using LTE-M and NB-IoT for providing backhaul communication infrastructure has been evaluated in a realistic simulation environment and compared for these two scenarios in terms of end-to-end latency per user. Simulation of Urban MObility has been used for realistic traffic generation and a Python-based program has been developed for evaluation of the communication system. The simulation results demonstrate the feasibility of using LPWAN for ITS backhaul infrastructure mostly in favor of the LTE-M over NB-IoT.

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