scholarly journals The Current State of the Art in Research on Predictive Maintenance in Smart Grid Distribution Network: Fault’s Types, Causes, and Prediction Methods—A Systematic Review

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 5078
Author(s):  
Moamin A. Mahmoud ◽  
Naziffa Raha Md Nasir ◽  
Mathuri Gurunathan ◽  
Preveena Raj ◽  
Salama A. Mostafa
Keyword(s):  
Smart Grid ◽  
Fault Location ◽  
Deep Understanding ◽  
Predictive Maintenance ◽  
Smart Meters ◽  
Grid Systems ◽  
Current State ◽  
Future Direction ◽  
Growth Of Science ◽  
Types Of Faults

With the exponential growth of science, Internet of Things (IoT) innovation, and expanding significance in renewable energy, Smart Grid has become an advanced innovative thought universally as a solution for the power demand increase around the world. The smart grid is the most practical trend of effective transmission of present-day power assets. The paper aims to survey the present literature concerning predictive maintenance and different types of faults that could be detected within the smart grid. Four databases (Scopus, ScienceDirect, IEEE Xplore, and Web of Science) were searched between 2012 and 2020. Sixty-five (n = 65) were chosen based on specified exclusion and inclusion criteria. Fifty-seven percent (n = 37/65) of the studies analyzed the issues from predictive maintenance perspectives, while about 18% (n = 12/65) focused on factors-related review studies on the smart grid and about 15% (n = 10/65) focused on factors related to the experimental study. The remaining 9% (n = 6/65) concentrated on fields related to the challenges and benefits of the study. The significance of predictive maintenance has been developing over time in connection with Industry 4.0 revolution. The paper’s fundamental commitment is the outline and overview of faults in the smart grid such as fault location and detection. Therefore, advanced methods of applying Artificial Intelligence (AI) techniques can enhance and improve the reliability and resilience of smart grid systems. For future direction, we aim to supply a deep understanding of Smart meters to detect or monitor faults in the smart grid as it is the primary IoT sensor in an AMI.

Early Detection and Recovery Measures for Smart Grid Cyber-Resilience

2021 ◽  
pp. 91-110
Author(s):  
Ismail Butun ◽  
Alparslan Sari
Keyword(s):  
Smart Grid ◽  
Cyber Security ◽  
Early Stage ◽  
Security Measures ◽  
Smart Meters ◽  
Grid Systems ◽  
Technological Advances ◽  
Response And Recovery ◽  
Operational Failures ◽  
Security Incidents

The internet of things (IoT) has recently brought major technological advances in many domains, including the smart grid. Despite the simplicity and efficiency that IoT brings, there are also underlying risks that are slowing down its adoption. These risks are caused by the presence of legacy systems inside existing infrastructures that were built with no security in mind. In this chapter, the authors propose a method for early-stage detection of cyber-security incidents and protection against them through applicable security measures. This chapter introduces security techniques such as anomaly detection, threat investigation through a highly automated decision support system (DSS), as well as incident response and recovery for smart grid systems. The introduced framework can be applied to industrial environments such as cyber-threats targeting the production generator as well as the electricity smart meters, etc. The chapter also illustrates the framework's cyber-resilience against zero-day threats and its ability to distinguish between operational failures as well as cyber-security incidents.

Cellular IoT for Mobile Autonomous Reporting in the Smart Grid

2016 ◽  
Vol 8 (3) ◽  
pp. 50-65
Author(s):  
Ana E. Goulart ◽  
Abhijeet Sahu
Keyword(s):  
Smart Grid ◽  
Ad Hoc ◽  
Smart Meters ◽  
Grid Systems ◽  
Processing Power ◽  
Data Rates ◽  
Machine Type Communications ◽  
Advanced Metering ◽  
Safety Systems ◽  
Delay Tolerant

Wireless access technologies are being embedded in utility meters, health devices, public safety systems, among others. These devices have low processing power and communicate at low data rates. New communication standards are being developed to support these machine-type communications (MTC), such as Cellular Internet of Things (CIoT), which is being developed by the third generation partnership project (3GPP). CIoT introduces cooperative ultra-narrow band (C-UNB) communications. It supports ad-hoc uplink transmissions, delay-tolerant downlink transmissions, and a simple authentication scheme. The C-UNB approach is proposed for Mobile Autonomous Reporting (MAR) applications, but it is not clear if it can be used for smart grid systems, such as sensors and smart meters in the Advanced Metering Infrastructure (AMI). In this paper, the authors review the C-UNB approach, study its performance in terms of collision rate and throughput, and discuss its potential for smart grid reporting applications.

Cellular IoT for Mobile Autonomous Reporting in the Smart Grid

2020 ◽  
pp. 1025-1041
Author(s):  
Ana E. Goulart ◽  
Abhijeet Sahu
Keyword(s):  
Smart Grid ◽  
Ad Hoc ◽  
Smart Meters ◽  
Grid Systems ◽  
Processing Power ◽  
Data Rates ◽  
Machine Type Communications ◽  
Advanced Metering ◽  
Safety Systems ◽  
Delay Tolerant

Wireless access technologies are being embedded in utility meters, health devices, public safety systems, among others. These devices have low processing power and communicate at low data rates. New communication standards are being developed to support these machine-type communications (MTC), such as Cellular Internet of Things (CIoT), which is being developed by the third generation partnership project (3GPP). CIoT introduces cooperative ultra-narrow band (C-UNB) communications. It supports ad-hoc uplink transmissions, delay-tolerant downlink transmissions, and a simple authentication scheme. The C-UNB approach is proposed for Mobile Autonomous Reporting (MAR) applications, but it is not clear if it can be used for smart grid systems, such as sensors and smart meters in the Advanced Metering Infrastructure (AMI). In this paper, the authors review the C-UNB approach, study its performance in terms of collision rate and throughput, and discuss its potential for smart grid reporting applications.

Development and Current State of Smart Grids: A Review

2017 ◽  
Vol 21 (1) ◽  
pp. 49-58 ◽  
Author(s):  
Ken Nagasaka ◽  
Keyword(s):  
Smart Grid ◽  
Smart Grids ◽  
Review Paper ◽  
Power Industry ◽  
Smart Meters ◽  
Communication Techniques ◽  
Current State ◽  
Point Reflection ◽  
The Future ◽  
State Of Research

Smart grids are an important component of the modernization of the power industry worldwide. Many researchers have contributed to their development. At this point, reflection on whether smart grids are being used as was expected and where further investigation is necessary to make them more applicable to the future power industry is warranted. The aim of this paper is to introduce the state of research and path of development of smart grids worldwide. In this investigation, the primary objectives of smart grids, from their inception to the present with changes along the way, are also presented. In addition, difficulties and barriers in their development and implementation and whether these issues are being solved are discussed. Finally, the future and accompanying challenges of smart grids are presented. It should be noted that the current state and development of smart grids is a very deep topic, and it is not possible to mention all the relevant points in a single article. The present review paper attempts to address a limited portion of these to provide an essential understanding of smart grids. Regarding the communication base of a smart grid, only smart meters, some developed communication techniques and smart grid models are presented.

Fault location in the distribution network based on power system status estimation with smart meters data

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Masoud Dashtdar ◽  
Seyed Mohammad Sadegh Hosseinimoghadam ◽  
Majid Dashtdar
Keyword(s):  
Power Flow ◽  
Fault Location ◽  
Voltage Drop ◽  
Distribution Network ◽  
Smart Meters ◽  
Fault Resistance ◽  
Different Types ◽  
Bus Networks ◽  
Types Of Faults ◽  
Proper Performance

Abstract Due to the existence of different branches in the electricity distribution network and only available voltage and current information at the beginning of the line and lack of access to the information at the end of the network line, the detection of the faulted section in the distribution network has become more important. Today, smart meters are used to measure the voltage and current of network lines, but due to the limitations of the installation sites, these devices are not possible in all network lines. In this paper, two techniques have been used to identify the faulted section and fault location in the network so that the fault distance at the beginning of the line can be estimated by estimating the current at the end of each network line. Therefore, in this project, by installing smart meters in the main branch of the network and also the information obtained from power flow in the network normal mode, it has been tried to practically estimate the voltage and current at the beginning and end of each distribution network line. In this method, more power flow is used to calculate the voltage drop of the lines and estimate the voltage and current at the end of the network lines so that the faulted part can be identified. Finally, the proposed method is implemented on the IEEE_15, 37 bus networks, the results of which show the proper performance of the proposed method in estimating location and Fault resistance for different types of faults in the distribution network.

scholarly journals Optimal Method for Detecting Collusive Saboteur Smart Meters in Smart Grid

2020 ◽  
Author(s):  
El Yazid Dari ◽  
Ahmed Bendahmane ◽  
Mohamed Essaaidi
Keyword(s):  
Smart Grid ◽  
Optimization Problem ◽  
Performance Metrics ◽  
Optimization Procedure ◽  
Solution Procedure ◽  
Original Method ◽  
Cyber Attacks ◽  
Smart Meters ◽  
Optimal Method ◽  
Grid Systems

Smart grid is a system in which it is possible to use voting-based techniques to resist sabotage of several cyber-attacks. The adaptation of these techniques can be difficult and useless in the case when the malicious resources (i.e., smart meters) of this system can return wrong data in same time; however, the collusion problem is triggered. To detect and resolve the collusive issue, spot-checking technique has been proposed by sending randomly certain number of spotter queries to chosen resources with known correct data in order to estimate resource credibility based on the returned data. This work proposes an original method that resist against collusion attacks by using probability to solving a new spot-checking optimization problem for smart grid systems, with the objective to minimize probability of accepting wrong data (PAWD) while respecting an expected overhead constraint. The proposed solution contains an optimal combination of several parameters, the number of spotter queries sent, the number of resources tested by each spotter query, and the number of resources assigned to run the genuine query. The optimization procedure includes a new method for evaluating performance metrics of PAWD and expected overhead in terms of the total number of query assignments. To demonstrate the proposed optimization problem and solution procedure, we have provided several illustrative examples.

A Comprehensive Analysis of Image Forensics Techniques: Challenges and future Direction

2019 ◽  
Vol 13 ◽  
Author(s):  
Mohd Dilshad Ansari ◽  
Ekbal Rashid ◽  
S Siva Skandha ◽  
Suneet Kumar Gupta
Keyword(s):  
Image Forensics ◽  
Digital Era ◽  
Current State ◽  
Benchmark Datasets ◽  
Passive Authentication ◽  
Prime Objective ◽  
Future Direction ◽  
Source Of Information ◽  
Research Domain ◽  
Open Issues

Background: image forensics deal with the problem of authentication of pictures or their origins. There are two types of forensics techniques namely active and passive. Passive forgery is also known as blind forensics technique. In passive forgery, copy-move (cloning) image forensics is most common forgery technique. In this approach, an object or region of a picture is copied and positioned somewhere else in the same image. Active method used watermarking to solve picture genuineness problem. It has limitations like human involvement or particularly equipped cameras. To overwhelm these limitations, numerous passive authentication approaches have been developed. Moreover, both approaches do not require any prior information about the picture. Objective: The prime objective of this survey is to provide an inclusive summary as well as recent advancement, challenges and future direction in image forensics. In Today’s digital era the digital pictures and videos are having great impact on our life as well as society, as they became the important source of information. Though earlier it was very difficult to doctor the picture, nowadays digital pictures can be doctored easily with the help of editing tools and internet. These practices make pictures as well as videos genuineness deceptive. Conclusion: This paper presents the current state-of- the-art of passive (cloning) image forensics techniques, challenges and future direction of this research domain. Further, the major open issues in developing a robust cloning image forensics detector with their performance are discussed. Lastly, the available benchmark datasets are also discussed

scholarly journals Real Fault Location in a Distribution Network Using Smart Feeder Meter Data

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3242
Author(s):  
Hamid Mirshekali ◽  
Rahman Dashti ◽  
Karsten Handrup ◽  
Hamid Reza Shaker
Keyword(s):  
Fault Location ◽  
Network Reliability ◽  
Distribution Network ◽  
Estimation Method ◽  
Electrical Energy ◽  
Distribution Networks ◽  
Active Power ◽  
Financial Loss ◽  
Smart Meters ◽  
The Real

Distribution networks transmit electrical energy from an upstream network to customers. Undesirable circumstances such as faults in the distribution networks can cause hazardous conditions, equipment failure, and power outages. Therefore, to avoid financial loss, to maintain customer satisfaction, and network reliability, it is vital to restore the network as fast as possible. In this paper, a new fault location (FL) algorithm that uses the recorded data of smart meters (SMs) and smart feeder meters (SFMs) to locate the actual point of fault, is introduced. The method does not require high-resolution measurements, which is among the main advantages of the method. An impedance-based technique is utilized to detect all possible FL candidates in the distribution network. After the fault occurrence, the protection relay sends a signal to all SFMs, to collect the recorded active power of all connected lines after the fault. The higher value of active power represents the real faulty section due to the high-fault current. The effectiveness of the proposed method was investigated on an IEEE 11-node test feeder in MATLAB SIMULINK 2020b, under several situations, such as different fault resistances, distances, inception angles, and types. In some cases, the algorithm found two or three candidates for FL. In these cases, the section estimation helped to identify the real fault among all candidates. Section estimation method performs well for all simulated cases. The results showed that the proposed method was accurate and was able to precisely detect the real faulty section. To experimentally evaluate the proposed method’s powerfulness, a laboratory test and its simulation were carried out. The algorithm was precisely able to distinguish the real faulty section among all candidates in the experiment. The results revealed the robustness and effectiveness of the proposed method.

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