A survey on advanced metering infrastructure and its application in Smart Grids

Mohassel, Ramyar Rashed; Fung, Alan S.; Mohammadi, Fazel; Raahemifar, Kaamran

doi:10.1109/ccece.2014.6901102

Cited by 74 publications

(35 citation statements)

References 9 publications

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“…Deploying an advanced metering infrastructure can be considered as one imperative step toward the smart grid since its outputs are the feeds of advanced distribution and transmission infrastructures [9]. Most relevant AMI functions are the following: Achieving the aforementioned functionalities involves four main actors (see Fig.1  Data management system: It is an integrated system for managing the huge amount of data received from customers at the utility company premises.…”

Section: B Actors Roles and Interactionsmentioning

confidence: 99%

Performance Analysis of In-Network Caching in Content-Centric Advanced Metering Infrastructure

El¹,

Barouni²,

Ben³

2016

ijacsa

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Abstract-In-network caching is a key feature of contentcentric networking. It is however a relatively costly mechanism with hardware requirements besides placement/replication strategies elaboration. As content-centric networking is proposed in the literature to manage smart grid (SG) communications, we aim, in this research work, to investigate the cost effectiveness of in-network caching in this context. We consider, in particular, the Advanced Metering Infrastructure (AMI) service that comes into prominence since its outputs are imperative inputs of most smart grid applications. In this research work, AMI communication topology and data traffic are characterized. Corresponding simulation environment is then built. Thereafter, various placement and replacement strategies are compared in a simulation study to be further able to propose a suitable cache placement and replacement combination for AMI in Smart Grid.

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Section: B Actors Roles and Interactionsmentioning

confidence: 99%

Performance Analysis of In-Network Caching in Content-Centric Advanced Metering Infrastructure

El¹,

Barouni²,

Ben³

2016

ijacsa

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“…Then Steps B -D are performed to find the anprpcm. Modifications proposed by [6] was used, it requires the metrics to be assigned weights in the range of [0,1], where the sum of all the weights equals one as shown in the matrix below:…”

Section: ) Priority Weightingsmentioning

confidence: 99%

“…Most routing algorithms also assume the availability of precise state information about the network, which is impractical in the real world. Furthermore, multiple metrics approaches that have been considered to deal with guaranteeing certain degree of QoS are non-trivial and turn out to be NP-complete 1 . In addressing QoS problems for SG AMI traffics in NAN based WMN, the possibility of using multiple metrics with the Optimised Link State Routing Protocol (OLSR) is explored.…”

Section: Introductionmentioning

confidence: 99%

“…The infrastructures include smart meters at the consumer end, a two-way communication networks at different infrastructures, data management systems and software application platforms to interface with utilities control end. The smart meters are equipped with advanced electronic meter that collects time-based data for real-time, reliabilityintensive applications and transmit the collected data through available communication networks [1]. Enabling AMI functionalities can be achieved by deploying a static multi-hop wireless mesh network (WMN) that connects a very large number of electric meters to a gateway or data concentrator, which is connected to a control center.…”

Section: Introductionmentioning

confidence: 99%

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Multiple metrics-OLSR in NAN for Advanced Metering Infrastructures

Tsado

Gamage

Lund

et al. 2016

2016 IEEE International Smart Cities Conference (ISC2)

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“…INTRODUCTION HE set of AMI technologies provides connection between DSO and energy consumers, allowing participations of concerned parties in energy monitoring, profiling, management and saving [1][2][3]. The road-map of the smart grid concept emphasizes the need for real-time smart metering functionality within the AMI.…”

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confidence: 99%

Layered AMI architecture for various grid topologies and communication technologies

Petruševski¹,

Rakić²,

Popović³

2016

Telfor

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-Advanced metering infrastructure (AMI) system, proposed in this paper, is capable of fulfilling all smart metering functionalities in real-time. The novel Local Metering Concentrator (LMC) layer is introduced as the set of independent embedded system components, allowing distributed architecture implementation. Two main data flows can be defined as command request processing and meter data acquisition. A command request, initiated by some of the top layer applications, is processed and forwarded through the system to the LMC layer, where the request is executed and the status is sent as a reply. The data and event acquisition is performed as an automatic function of the LMC layer. The collected data is forwarded to the system as soon as it is downloaded from the meters. The results of more than oneyear exploitation of the installed pilot system are presented, emphasizing the real-time load profile data acquisition, allowing the distribution system operators (DSO) and the end consumer to be actively involved in energy saving. The introduced architecture enables load profiling, energy diagnostic and easy integration with any meter data management system. Keywords -Advanced metering infrastructure, power line communication, smart grid, smart meters.I. INTRODUCTION HE set of AMI technologies provides connection between DSO and energy consumers, allowing participations of concerned parties in energy monitoring, profiling, management and saving [1][2][3]. The road-map of the smart grid concept emphasizes the need for real-time smart metering functionality within the AMI. Since load control, profiling and energy saving are targeted by smart metering concept, the real-time information transfer will contribute to essential benefits, individual as well as environmental, by providing support for real-time consumer side applications and energy management systemBased on the available experiences, one of the main deficiencies of the traditional Smart Metering Systems is the communication system between the data concentrator and electrical meter, due to a large amount of information data needed to be transferred and time consuming communication protocols. The traditional system is usually based on a proprietary communication mechanism over communication interfaces with a limited performance both in throughput and reliability, e.g. GPRS, narrow-band power line communication (N-PLC), etc. [7]. Due to mentioned technical limits, existing AMI implementation concepts provide only a basic smart metering functionality and metering data collection usually not more often than once per day. The aim of this paper is to overcome the deficiencies of traditional AMI concept by introducing a novel architecture, capable of real-time data transfer, interoperability (support for multi-vendor electrical meters), and open to implementation of various modern communication technologies [8]-[12].In addition to the previously presented architectural overview in [13], this paper gives more details on the structure, operation and interaction ...

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A survey on advanced metering infrastructure and its application in Smart Grids

Cited by 74 publications

References 9 publications

Performance Analysis of In-Network Caching in Content-Centric Advanced Metering Infrastructure

Performance Analysis of In-Network Caching in Content-Centric Advanced Metering Infrastructure

Multiple metrics-OLSR in NAN for Advanced Metering Infrastructures

Layered AMI architecture for various grid topologies and communication technologies

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