Leveraging advanced metering infrastructure for distribution grid asset management

Atkinson, Gary; Thottan, Marina

doi:10.1109/infcomw.2014.6849311

Cited by 9 publications

(3 citation statements)

References 6 publications

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“…Ref. [64] uses a low-cost solution to utilize the data collected from advanced metering infrastructure (AMI) meters for distribution grid asset management. To reduce the amount of data complexity, Ref.…”

Section: Sensors On Power Transmission Transformers Vs Power Distribu...mentioning

confidence: 99%

Sensor Technologies for Transmission and Distribution Systems: A Review of the Latest Developments

et al. 2022

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The transmission and distribution systems are essential in facilitating power flow from the source multiple loads over large distances with high magnitudes of voltages and currents. Hence, the monitoring and control of various components of these structures are crucial. Traditionally, this was implemented by sensing only the grid current and grid voltage parameters through coils, clamps, or instrument transformers. However, these have bulky structures that restrict them to the substation and have installation and maintenance issues due to their direct contact with high voltage conductors. Currently, the power grid is undergoing various developments e.g., penetration of renewable energy sources, remote control, and automation, bidirectional power flow, etc. These developments call for compact and energy-efficient sensors to sense multiple grid parameters such as the magnetic field data, temperature, humidity, acoustics, etc., to enable real time, wide area monitoring and the predictive maintenance of the power grid. The goal of this paper is to summarize the advancements in sensing technologies on transmission and distribution systems over a decade and to explain their role in the forthcoming expansion of the power grids. This paper aims to outline the current state-of-affairs of sensor technology as well as to fill research gaps by exploring their limitations.

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Section: Sensors On Power Transmission Transformers Vs Power Distribu...mentioning

confidence: 99%

Sensor Technologies for Transmission and Distribution Systems: A Review of the Latest Developments

et al. 2022

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“…This smart monitoring system not only provides fast fault detection but also improves the overall health of transformers as well as the distribution system. In [81], the AMI systems are used to collect data in real-time including transformer loading, transformer aging, estimated ambient temperature, computed the hottest temperature from oil-immersed distribution transformers. The gathering information can be used indirectly to determine the priority candidate transformer for replacement before failure.…”

Section: Advanced Technologies For Real-time Monitoring Transformer Condition In a Smart Distribution Gridmentioning

confidence: 99%

A Review of Health Assessment Techniques for Distribution Transformers in Smart Distribution Grids

et al. 2020

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Due to the large number of distribution transformers in the distribution grid, the status of distribution transformers plays an important role in ensuring the safe and reliable operation of the these grids. To evaluate the distribution transformer health, many assessment techniques have been studied and developed. These tools will support the transformer operators in predicting the status of the distribution transformer and responding effectively. This paper will review the literature in the area, analyze the latest techniques as well as highlight the advantages and disadvantages of current methodologies.

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“…The placement of collector nodes, which are known as data acquisition points (DAPs) [4], [6] or aggregators [7], [8] in smart grid communication networks (SGCNs) and as relay station [9], gateway [10] or sink [11], [12] in broadband wireless access networks and sensor networks, respectively, has previously been investigated [13]- [16]. However, there is a combination of features and requirements in AMI that render the problem sufficiently different from the data collector placement in other types of networks so that a new problem formulation and solution for network planning are needed.…”

Section: Introductionmentioning

confidence: 99%

Cost-Efficient QoS-Aware Data Acquisition Point Placement for Advanced Metering Infrastructure

Aalamifar

Lampe

2018

IEEE Trans. Commun.

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In an advanced metering infrastructure (AMI), data acquisition points (DAPs) are responsible for collecting traffic from several smart meters and automated devices and transmitting them to the utility control center. Although the problem of optimized data collector placement has already been addressed for wireless broadband and sensor networks, DAP placement is quite a new research area for AMIs. In this paper, we investigate the minimum required number of DAPs and their optimized locations on top of the existing utility poles in a distribution grid such that smart grid quality of service requirements can best be provided. In order to solve the problem for large-scale AMIs, we devise a novel heuristic algorithm using a greedy approach for identifying potential pole locations for DAP placement and the Dijkstra's shortest path algorithm for constructing reliable routes. We employ the characteristics of medium access schemes from the IEEE 802.15.4g smart utility network (SUN) standard, and consider mission-critical and non-critical smart grid traffic. The performance and time-complexity of our algorithm are compared with those obtained by the IBM CPLEX software for small scenarios. Finally, we apply our devised DAP placement algorithm to examples of realistic smart grid AMI topologies. This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 1 I. INTRODUCTION As part of the broader concept of smart grids, advanced metering infrastructures (AMIs) are being massively deployed almost everywhere in the world. AMIs are responsible for reading the energy consumption from thousands of smart meters (SMs) [1]-[4], monitor the last-mile automated devices for reporting emergency events [3], [4] such as electricity blackout and also unauthorized access to the power system [5]. In an AMI, due to the large number of devices and their distances, data collectors are installed to collect traffic from several endpoints and transmit them to the utility control center on their behalf.The placement of collector nodes, which are known as data acquisition points (DAPs) [4], [6] or aggregators [7], [8] in smart grid communication networks (SGCNs) and as relay station [9], gateway [10] or sink [11], [12] in broadband wireless access networks and sensor networks, respectively, has previously been investigated [13]- [16]. However, there is a combination of features and requirements in AMI that render the problem sufficiently different from the data collector placement in other types of networks so that a new problem formulation and solution for network planning are needed. For example, in sensor networks, the collector nodes can be placed on selected endpoint nodes [10] or in arbitrary locations [13]. Different from this, in a distribution grid with overhead powerlines, the utility poles are ideal locations for DAP placement [4], since this extends network coverage and also eliminates the cost of new tower installations. Moreover, since...

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Leveraging advanced metering infrastructure for distribution grid asset management

Cited by 9 publications

References 6 publications

Sensor Technologies for Transmission and Distribution Systems: A Review of the Latest Developments

Sensor Technologies for Transmission and Distribution Systems: A Review of the Latest Developments

A Review of Health Assessment Techniques for Distribution Transformers in Smart Distribution Grids

Cost-Efficient QoS-Aware Data Acquisition Point Placement for Advanced Metering Infrastructure

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