scholarly journals Classical Failure Modes and Effects Analysis in the Context of Smart Grid Cyber-Physical Systems

2020 ◽  
Author(s):  
Andrés A. Zúñiga ◽  
Alexandre Baleia ◽  
João Fernandes ◽  
Paulo Jose Da Costa Branco
Keyword(s):  
Smart Grid ◽  
Information And Communication Technologies ◽  
Asset Management ◽  
Smart Grids ◽  
Distribution Systems ◽  
Failure Modes ◽  
Cyber Physical Systems ◽  
Test System ◽  
Physical Systems ◽  
The Impact

Reliability assessment in traditional power distribution systems has played a key role in power system planning, design, and operation. Recently, new information and communication technologies have been introduced in power systems automation and asset management, making the distribution network even more complex. In order to achieve efficient energy management, the distribution grid has to adopt a new configuration and operational conditions that are changing the paradigm of the actual electrical system. Therefore, the emergence of the cyber-physical systems concept to face future energetic needs requires alternative approaches for evaluating the reliability of modern distribution systems, especially in the smart grids environment. In this paper, a reliability approach that makes use of failure modes of power and cyber network main components is proposed to evaluate risk analysis in smart electrical distribution systems. We introduce the application of Failure Modes and Effects Analysis (FMEA) method in future smart grid systems in order to establish the impact of different failure modes on their performance. A smart grid test system is defined and failure modes and their effects for both power and the cyber components are presented. Preventive maintenance tasks are proposed and systematized to minimize the impact of high-risk failures and increase reliability.

scholarly journals Classical Failure Modes and Effects Analysis in the Context of Smart Grid Cyber-Physical Systems

Energies ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1215
Author(s):  
Andrés A. Zúñiga ◽  
Alexandre Baleia ◽  
João Fernandes ◽  
Paulo Jose Da Costa Branco
Keyword(s):  
Smart Grid ◽  
Information And Communication Technologies ◽  
Asset Management ◽  
Smart Grids ◽  
Distribution Systems ◽  
Failure Modes ◽  
Cyber Physical Systems ◽  
Test System ◽  
Physical Systems ◽  
The Impact

Reliability assessment in traditional power distribution systems has played a key role in power system planning, design, and operation. Recently, new information and communication technologies have been introduced in power systems automation and asset management, making the distribution network even more complex. In order to achieve efficient energy management, the distribution grid has to adopt a new configuration and operational conditions that are changing the paradigm of the actual electrical system. Therefore, the emergence of the cyber-physical systems concept to face future energetic needs requires alternative approaches for evaluating the reliability of modern distribution systems, especially in the smart grids environment. In this paper, a reliability approach that makes use of failure modes of power and cyber network main components is proposed to evaluate risk analysis in smart electrical distribution systems. We introduce the application of Failure Modes and Effects Analysis (FMEA) method in future smart grid systems in order to establish the impact of different failure modes on their performance. A smart grid test system is defined and failure modes and their effects for both power and the cyber components are presented. Preventive maintenance tasks are proposed and systematized to minimize the impact of high-risk failures and increase reliability.

Durchgängiges Anforderungsmanagement und Engineering für Smart Grid Lösungen

2020 ◽  
Vol 68 (9) ◽  
pp. 711-719
Author(s):  
Mathias Uslar
Keyword(s):  
Smart Grid ◽  
Smart Grids ◽  
Cyber Physical Systems ◽  
Industrie 4.0 ◽  
Internet Der Dinge ◽  
Physical Systems

ZusammenfassungIn diesem Beitrag wird die Notwendigkeit einer sinnvollen Definition und Klarstellung der Disziplin Energieinformatik aufgezeigt. Der Beitrag diskutiert verschiedene bestehende Definitionen und stellt sie in den Kontext des Anforderungsmanagements und der Lösungsfindung. Er motiviert die Notwendigkeit eines strukturierten disziplinären Ansatzes in der Energieinformatik auf der Grundlage bestehender Probleme und skizziert den aktuellen Stand des Stands der Wissenschaft und Technik, der hauptsächlich den systemtechnischen Anwendungsbereich für Smart Grids umfasst. Synergien mit anderen aktuellen Schwerpunktthemen wie Internet der Dinge (IoT), Industrie 4.0 (Digitalisierung der Produktion) und Cyber-Physical Systems (CPS) werden aus Anforderungssicht motiviert. Auf der Grundlage der aufgeworfenen Fragen und Herausforderungen werden neue sinnvolle Forschungsthemen für ein durchgängiges Anforderungsmanagement im Kontext Smart Grid diskutiert.

scholarly journals Reliable Industry 4.0 Based on Machine Learning and IoT for Analyzing, Monitoring, and Securing Smart Meters

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 487 ◽  
Author(s):  
Mahmoud Elsisi ◽  
Karar Mahmoud ◽  
Matti Lehtonen ◽  
Mohamed M. F. Darwish
Keyword(s):  
Machine Learning ◽  
Smart Grids ◽  
Industry 4.0 ◽  
Learning Algorithm ◽  
Cyber Physical Systems ◽  
The Internet ◽  
Smart Meters ◽  
Industrial Environment ◽  
Physical Systems ◽  
Smart Machines

The modern control infrastructure that manages and monitors the communication between the smart machines represents the most effective way to increase the efficiency of the industrial environment, such as smart grids. The cyber-physical systems utilize the embedded software and internet to connect and control the smart machines that are addressed by the internet of things (IoT). These cyber-physical systems are the basis of the fourth industrial revolution which is indexed by industry 4.0. In particular, industry 4.0 relies heavily on the IoT and smart sensors such as smart energy meters. The reliability and security represent the main challenges that face the industry 4.0 implementation. This paper introduces a new infrastructure based on machine learning to analyze and monitor the output data of the smart meters to investigate if this data is real data or fake. The fake data are due to the hacking and the inefficient meters. The industrial environment affects the efficiency of the meters by temperature, humidity, and noise signals. Furthermore, the proposed infrastructure validates the amount of data loss via communication channels and the internet connection. The decision tree is utilized as an effective machine learning algorithm to carry out both regression and classification for the meters’ data. The data monitoring is carried based on the industrial digital twins’ platform. The proposed infrastructure results provide a reliable and effective industrial decision that enhances the investments in industry 4.0.

scholarly journals Graceful extensibility in asset management: extending the capacity to adapt in managing cyber-physical railway systems

2021 ◽  
Author(s):  
Jan-jaap Moerman ◽  
Jan Maarten Schraagen ◽  
Jan Braaksma ◽  
Leo van Dongen
Keyword(s):  
Asset Management ◽  
Adaptive Systems ◽  
New Technologies ◽  
Autonomous Driving ◽  
Cyber Physical Systems ◽  
Transportation Systems ◽  
Rolling Stock ◽  
Railway Transportation ◽  
Physical Systems ◽  
Railway Systems

AbstractGraceful extensibility has been recently introduced and can be defined as the ability of a system to extend its capacity to adapt when surprise events challenge its boundaries. It provides basic rules that govern adaptive systems. Railway transportation systems can be considered cyber-physical systems that comprise interacting digital, analog, physical, and human components engineered for safe and reliable railway transport. This enables autonomous driving, new functionalities to achieve higher capacity, greater safety, and real-time health monitoring. New rolling stock introductions require continuous adaptations to meet the challenges of these complex railway systems as an introduction takes several years to complete and deals with changing stakeholder demands, new technologies, and technical constraints which cannot be fully predicted in advance. To sustain adaptability when introducing new rolling stock, the theory of graceful extensibility might be valuable but needs further empirical testing to be useful in the field. This study contributes by assessing the proto-theorems of graceful extensibility in a case study in the railway industry by means of adopting pattern-matching analysis. The results of this study indicate that the majority of theoretical patterns postulated by the theory are corroborated by the data. Guidelines are proposed for further operationalization of the theory in the field. Furthermore, case results indicate the need to adopt management approaches that accept indeterminism as a complement to the prevailing deterministic perspective, to sustain adaptability and deal effectively with surprise events. As such, this study may serve other critical asset introductions dealing with cyber-physical systems in their push for sustained adaptability.

Smart grid cyber-physical systems: communication technologies, standards and challenges

2021 ◽  
Author(s):  
A. V. Jha ◽  
B. Appasani ◽  
A. N. Ghazali ◽  
P. Pattanayak ◽  
D. S. Gurjar ◽  
...  
Keyword(s):  
Smart Grid ◽  
Communication Technologies ◽  
Cyber Physical Systems ◽  
Physical Systems

Multicast Routing for Decentralized Control of Cyber Physical Systems with an Application in Smart Grid

2012 ◽  
Vol 30 (6) ◽  
pp. 1097-1107 ◽  
Author(s):  
Husheng Li ◽  
Lifeng Lai ◽  
H. Vincent Poor
Keyword(s):  
Smart Grid ◽  
Decentralized Control ◽  
Multicast Routing ◽  
Cyber Physical Systems ◽  
Physical Systems

scholarly journals A Dependable Time Series Analytic Framework for Cyber-Physical Systems of IoT-based Smart Grid

2019 ◽  
Vol 3 (1) ◽  
pp. 1-18 ◽  
Author(s):  
Chang Wang ◽  
Yongxin Zhu ◽  
Weiwei Shi ◽  
Victor Chang ◽  
P. Vijayakumar ◽  
...  
Keyword(s):  
Time Series ◽  
Smart Grid ◽  
Cyber Physical Systems ◽  
Analytic Framework ◽  
Physical Systems

scholarly journals Research on the Evaluation Model of a Smart Grid Development Level Based on Differentiation of Development Demand

2018 ◽  
Vol 10 (11) ◽  
pp. 4047 ◽  
Author(s):  
Jinchao Li ◽  
Tianzhi Li ◽  
Liu Han
Keyword(s):  
Smart Grid ◽  
Smart Grids ◽  
Evaluation Model ◽  
Objective Evaluation ◽  
Entropy Method ◽  
Base Layer ◽  
Regional Differentiation ◽  
Base Level ◽  
Development Level ◽  
The Impact

In order to eliminate the impact of inter-regional differentiation of development demand on the objective evaluation of the development level of smart grid, this paper establishes the evaluation model of weight modification, transmission mechanism and combination of subjective and objective weights. Firstly, the Analytic Hierarchy Process method is used to calculate the weights of evaluation indices of effect layer and then the indices of development demand are used to modify the weights of them. The association analysis and the correlation coefficient are used to establish the weights conduction coefficient between the effect level and the base level. Then the subjective weights of the indices of the base layer are calculated. The objective weights of the indices of the base layer are obtained by using the entropy method. The subjective weights of the base layer and the objective weights obtained by the entropy method are averagely calculated, and the comprehensive weights of the evaluation indices of the base layer are obtained. Then each index is scored according to the weights and index values. Finally, the model is used to quantitatively inspect the level of development of smart grid in specific regions and make a horizontal comparison, which provides a useful reference for the development of smart grids. The relevant examples verify the correctness and validity of the model.

scholarly journals Effects of Industry 4.0 on the Labor Markets of Iran and Japan

Economies ◽  
2018 ◽  
Vol 6 (3) ◽  
pp. 39 ◽  
Author(s):  
Majid Ziaei Nafchi ◽  
Hana Mohelská
Keyword(s):  
Labor Markets ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Developed Countries ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Science Technology ◽  
Levels Of Automation ◽  
Technology And Economy ◽  
The Impact

Industry 4.0 is the essence of the fourth Industrial revolution and is happening right now in manufacturing by using cyber-physical systems (CPS) to reach high levels of automation. Industry 4.0 is especially beneficial in highly developed countries in terms of competitive advantage, but causes unemployment because of high levels of automation. The aim of this paper is to find out if the impact of adopting Industry 4.0 on the labor markets of Iran and Japan would be the same, and to make analysis to find out whether this change is possible for Iran and Japan with their current infrastructures, economy, and policies. With the present situation of Iran in science, technology, and economy, it will be years before Iran could, or better say should, implement Industry 4.0. Japan is able to adopt Industry 4.0 much earlier than Iran and with less challenges ahead; this does not mean that the Japanese labor market would not be affected by this change but it means that those effects would not cause as many difficulties as they would for Iran.

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