Performance evaluation of smart metering infrastructure using simulation tool

Panchadcharam, S.; Taylor, Gareth; Ni, Qiang; Fateri, Sina

doi:10.1109/upec.2012.6398571

Cited by 11 publications

(9 citation statements)

References 2 publications

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“…In [27] it is mentioned that the average traffic per day is 3185 bytes. The message size varies from 4 to 40,000 bytes in [20], whereas according to [28] the maximum message size can be as high as 145,888 bytes. In [23] a typical smart meter message size is around 100 bytes and the traffic sent to the data concentrator can vary from 1600 to 2400 bytes per reading interval.…”

Section: Parameters For Traffic Analysismentioning

confidence: 99%

“…In [27] the data traffic in selected system nodes, such as the smart meter or the data center firewall, is examined. In [28] scalability issues are examined with respect to the transmission time needed for several smart meters and several data concentrators that transmit data.…”

Section: Introductionmentioning

confidence: 99%

“…In our analysis we considered the aforementioned literature for the smart meter message size and the message transmission frequency that can be found. Specifically, information about the message size is found in [20,21,[23][24][25][26][27][28], whereas information about the message transmission frequency is found in [13,23,[25][26][27]. It should be noted that when the PLC technology is implemented, the data concentrator is usually positioned within the substation.…”

Section: Introductionmentioning

confidence: 99%

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Smart Meter Traffic in a Real LV Distribution Network

2018

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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.Energies 2018, 11, 1156 2 of 27 load-shifting. On the other hand, the smart meters can be a useful interaction tool between the energy provider and the end user, via which the consumers can be actively involved in reducing their consumption [2].Smart meters have been widely employed both for national roll-outs as well as for the realization of smart grid projects [3]. Overall, it is expected that until 2020 around 200 million smart meters will be deployed with an estimated investment of 35 billion € [4]. Due to the increased interest on smart metering applications, there has been a development of the technologies that support them. Smart meter data transmission is usually divided in two links: the first link carries data from the smart meter to a data concentrator whereas the second link connects this data concentrator to the control center of the energy provider [5]. There are several telecommunication technologies utilized by smart metering applications and they are mainly distinguished according to the transmission medium used for the signals, thus being divided into wired and wireless [5]. A popular wired smart meter technology is the PLC (Power Line Communication) and in particular the NB-PLC (Narrow-Band PLC), which is used mainly for the first transmission link. Two popular technological solutions for NB-PLC are the PRIME [6] and G3-PLC [7] specifications, which constituted the main basis for the standards proposed by ITU and IEEE [8]. Cellular technol...

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Section: Parameters For Traffic Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Smart Meter Traffic in a Real LV Distribution Network

2018

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“…The cluster analysis was found to provide significant enhancement to the load estimation. Panchadcharam et al [31] have presented a simulation-based study to assess the time of transmission with different sizes of data. Most recently, Yang et al [32] have presented a multiple access control based protocol developing a network of smart meters.…”

Section: A Techniques Towards Performance Enhancementmentioning

confidence: 99%

Research Advancements Towards in Existing Smart Metering over Smart Grid

A¹,

Khan²,

Nagaraj³

2017

ijacsa

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Abstract-The advent of smart meters has automated the entire process of billing generation system over commercial energy usage which was previously done using digital meter. Although western countries practice its usage more, it is still unknown to many developing countries along with its power distribution. Hence, this paper reviews the working principle of smart meters along with the brief of basic operation description. It thoroughly investigates the implementation work towards algorithm design and techniques developed that are being carried out in last five years towards smart meters. The paper examines the various significant technology that has evolved to address the problems in smart meter e.g. performance improvement, energy efficiency, security factor, etc. Finally, a set of research gap is explored after scrutinizing the advantages and limitations of existing techniques followed by brief highlights of the feasible line of research to compensate the unaddressed problems associated with research work direction towards smart meters.

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“…Openet has been used to perform this analysis and other research on this field (Panchadcharam et al, 2012). The software does not provide the Modbus on TCP/IP protocol tools but the FTP protocol features have been adapted to simulate it.…”

Section: Smart Metering Modelmentioning

confidence: 99%