Load Segmentation for Convergence of Distribution Automation and Advanced Metering Infrastructure Systems

2014 ◽  
Vol 15 (6) ◽  
pp. 607-619 ◽  
Author(s):  
Balakrishna Pamulaparthy ◽  
Swarup KS ◽  
Rajagopal Kommu
Keyword(s):  
Low Voltage ◽  
Distribution Automation ◽  
Advanced Metering Infrastructure ◽  
Distribution Grid ◽  
Smart Meters ◽  
Time Intervals ◽  
Power Restoration ◽  
Advanced Metering ◽  
Short Time

Abstract Distribution automation (DA) applications are limited to feeder level today and have zero visibility outside of the substation feeder and reaching down to the low-voltage distribution network level. This has become a major obstacle in realizing many automated functions and enhancing existing DA capabilities. Advanced metering infrastructure (AMI) systems are being widely deployed by utilities across the world creating system-wide communications access to every monitoring and service point, which collects data from smart meters and sensors in short time intervals, in response to utility needs. DA and AMI systems convergence provides unique opportunities and capabilities for distribution grid modernization with the DA system acting as a controller and AMI system acting as feedback to DA system, for which DA applications have to understand and use the AMI data selectively and effectively. In this paper, we propose a load segmentation method that helps the DA system to accurately understand and use the AMI data for various automation applications with a suitable case study on power restoration.

scholarly journals Smart Meter Traffic in a Real LV Distribution Network

Energies ◽  
2018 ◽  
Vol 11 (5) ◽  
pp. 1156 ◽  
Author(s):  
Nikoleta Andreadou ◽  
Evangelos Kotsakis ◽  
Marcelo Masera
Keyword(s):  
Distribution System ◽  
Low Voltage ◽  
Distribution Network ◽  
Distribution Networks ◽  
Smart Meter ◽  
Advanced Metering Infrastructure ◽  
Distribution Grid ◽  
Message Size ◽  
Real Distribution ◽  
Advanced Metering

The modernization of the distribution grid requires a huge amount of data to be transmitted and handled by the network. The deployment of Advanced Metering Infrastructure systems results in an increased traffic generated by smart meters. In this work, we examine the smart meter traffic that needs to be accommodated by a real distribution system. Parameters such as the message size and the message transmission frequency are examined and their effect on traffic is showed. Limitations of the system are presented, such as the buffer capacity needs and the maximum message size that can be communicated. For this scope, we have used the parameters of a real distribution network, based on a survey at which the European Distribution System Operators (DSOs) have participated. For the smart meter traffic, we have used two popular specifications, namely the G3-PLC–“G3 Power Line communication” and PRIME–acronym for “PoweRline Intelligent Metering Evolution”, to simulate the characteristics of a system that is widely used in practice. The results can be an insight for further development of the Information and Communication Technology (ICT) systems that control and monitor the Low Voltage (LV) distribution grid. The paper presents an analysis towards identifying the needs of distribution networks with respect to telecommunication data as well as the main parameters that can affect the Inverse Fast Fourier Transform (IFFT) system performance. Identifying such parameters is consequently beneficial to designing more efficient ICT systems for Advanced Metering Infrastructure.

scholarly journals Communication System Design for an Advanced Metering Infrastructure

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3734 ◽  
Author(s):  
Ricardo Siqueira de Carvalho ◽  
Pankaj Kumar Sen ◽  
Yaswanth Nag Velaga ◽  
Lucas Feksa Ramos ◽  
Luciane Neves Canha
Keyword(s):  
System Design ◽  
Communication System ◽  
Network Performance ◽  
Low Voltage ◽  
Network Simulator ◽  
Advanced Metering Infrastructure ◽  
Smart Meters ◽  
Communication System Design ◽  
Single Data ◽  
Advanced Metering

This paper primarily deals with the design of an Information and Control Technology (ICT) network for an advanced metering infrastructure (AMI) on the IEEE 34 node radial distribution network. The application is comprised of 330 smart meters deployed in the low voltage system and 33 data concentrators in the medium voltage system. A power line carrier (PLC) communication system design is developed and simulated in Network Simulator 3 (NS-3). The simulation result is validated by comparing the communication network performance with the minimum performance requirements for AMI. The network delay of a single data frame is calculated and compared with the simulation delay. The design methodology proposed in this article may be used for other smart grid applications. The secondary goal is to provide AMI network traffic based on the IEC Std. 61968 and a discussion on whether or not AMI could possibly be a source of big data on the future power grid.

scholarly journals Communication Performance Assessment for Advanced Metering Infrastructure

Energies ◽  
2018 ◽  
Vol 12 (1) ◽  
pp. 88 ◽  
Author(s):  
Jen-Hao Teng ◽  
Chia-Wei Chao ◽  
Bin-Han Liu ◽  
Wei-Hao Huang ◽  
Jih-Ching Chiu
Keyword(s):  
Smart Grids ◽  
Small Scale ◽  
Smart Meter ◽  
Advanced Metering Infrastructure ◽  
Smart Meters ◽  
Communication Performance ◽  
Reading Success ◽  
Efficient Communication ◽  
Advanced Metering ◽  
Communication Paths

Advanced Metering Infrastructure (AMI), the foundation of smart grids, can be used to provide numerous intelligent power applications and services based on the data acquired from AMI. Effective and efficient communication performance between widely-spread smart meters and Data Concentrator Units (DCUs) is one of the most important issues for the successful deployment and operation of AMI and needs to be further investigated. This paper proposes an effective Communication Performance Index (CPI) to assess and supervise the communication performance of each smart meter. Some communication quality measurements that can be easily acquired from a smart meter such as reading success rate and response time are used to design the proposed CPI. Fuzzy logic is adopted to combine these measurements to calculate the proposed CPI. The CPIs for communication paths, DCUs and whole AMI can then be derived from meter CPIs. Simulation and experimental results for small-scale AMIs demonstrate the validity of the proposed CPI. Through the calculated CPIs, the communication performance and stability for AMI can be effectively assessed and supervised.

scholarly journals Airborne surface profiling of glaciers: a case-study in Alaska

1996 ◽  
Vol 42 (142) ◽  
pp. 538-547 ◽  
Author(s):  
Κ. A. Echelmeyer ◽  
W. D. Harrison ◽  
C. F. Larsen ◽  
J. Sapiano ◽  
Mitchell J. E. ◽  
...  
Keyword(s):  
Time Intervals ◽  
Glacier Surface ◽  
Alaska Range ◽  
Thickness Change ◽  
Surface Profiling ◽  
Bear Lake ◽  
South Central ◽  
Short Time

AbstractA relatively lightweight and simple airborne system for surface elevation profiling of glaciers in narrow mountain valleys has been developed and tested. The aircraft position is determined by kinematic global positioning system (GPS) methods. The distance to the glacier surface is determined with a laser ranger. The accuracy is about 0.3 m, sufficient to permit future changes to be observed over short time intervals. Long-term changes can be estimated by comparison of profiles with existing maps. Elevation profiles obtained in 1993–94 from three glaciers in central and south-central Alaska are compared with maps made about 1950. The resulting area-averaged, seasonally corrected thickness changes during the interval are: Gulkana Glacier (central Alaska Range)–11 m, Worthington Glacier (central Chugach Mountains) +7 m, and Bear Lake Glacier (Kenai Mountains) −12 m. All three glaciers retreated during the interval of comparison. The estimated uncertainty in the average thickness change is ±5 m. which is mainly due to errors in the existing maps. Constraints on the accuracy of the maps are obtained by profiling in proglacial areas.

scholarly journals Effect of mobility of smart meters on performance of advanced metering infrastructure

2017 ◽  
Vol 13 (3) ◽  
pp. 1495-1510
Author(s):  
Shunsuke Matsuzawa ◽  
◽  
Satoru Harada ◽  
Kazuya Monden ◽  
Yukihiro Takatani ◽  
...  
Keyword(s):  
Advanced Metering Infrastructure ◽  
Smart Meters ◽  
Advanced Metering
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