Wireless Neighborhood Area Networks With QoS Support for Demand Response in Smart Grid

Kong, Peng‐Yong

doi:10.1109/tsg.2015.2421991

Cited by 66 publications

(31 citation statements)

References 19 publications

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“…2) Mission-critical (MC) traffic such as alert notifications, including meter tampering and power theft, remote control commands, and power quality (e.g., voltage, phase or current) notifications [28]. The MC traffic is usually modelled according to a Poisson process [24], [29].…”

Section: System Model and Problem Formulationmentioning

confidence: 99%

“…References [24] and [25] propose aggregator placement solutions for respectively maintaining and maximizing the obtained QoS in an AMI. They use M/D/1 and M/G/1 queuing models for computing the expected latency over the designed infrastructure.…”

mentioning

confidence: 99%

“…In this paper, we do not adopt the average latency model with fixed or minimum number of hops criteria considered in [20], [21], [24], [25]. Instead, to meet latency requirements of smart grid traffic, in Section II, we compute the probability of achieving a certain latency requirement for both mission-critical and non-critical traffic.…”

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confidence: 99%

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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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Section: System Model and Problem Formulationmentioning

confidence: 99%

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confidence: 99%

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

Aalamifar

Lampe

2018

IEEE Trans. Commun.

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“…Keeping in mind the future growth and energy trends, the future projection of digital substations is provided in Figure 2. To carry out all the actions mentioned previously, the grid topology must [5], [6] have following features.…”

Section: Introductionmentioning

confidence: 99%

Effectiveness and Comparison of Digital Substations Over Conventional Substations

Waleed¹,

Virk²,

Riaz³

et al. 2019

Adv. sci. technol. eng. syst. j.

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The entire electrical system is changing at an abrupt speed since its beginning. With the rapid advance of renewable energies (which are constantly subject to fluctuations), the electricity generation is distributed to countless locations. The traditional model of the unidirectional flow of electricity is leaning towards multidirectional flows. This situation needs significant changes in the transport infrastructure of the electrical power system and mode of operation. Technological advancements are making a smarter and more organized management system of electricity supply and demand. This development needs to incorporate modern communication, monitoring, and control capabilities, along with the intelligent transport, generation, and storage value chain. Digital substations integrate thousands of sensors by providing greater comfort, self-reliance, availability, and safety while at the same time reducing costs, risks, and environmental damage. Conventional power system lacks digital communication, remote monitoring & control, and consumer participation. Fiber-optic cabling in digital substations will attain not only real-time data transmission but also remote maintenance. The comparison between conventional and digital substations has also been presented in this work along with latest trends in smart protection. Electronic protection and control devices based on a microprocessor, communicating with cloud servers, will enhance the flexibility to control and monitor the digital substations. A significant amount of data generated by components in the electrical substations will allow greater sophistication of the monitoring, diagnostic, protection and optimization capabilities of the facilities. The goal for the review of said advancements is to have a smart electrical system with greater efficiency and better user experience.

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“…In LMN, Power-Line-Communication (PLC) and Wi-SUN communication modems are widely utilized to reduce the infrastructure cost. However, network capacity is strictly designed because PLC and Wi-SUN only provides several kb/s network capacities [2]. Thus, the network efficiency is most critical issues.…”

Section: Introductionmentioning

confidence: 99%

Flooding Message Mitigation of Wireless Content Centric Networking for Last-Mile Smart-Grid

Kim

Park

2019

Applied Sciences

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In view of Smart-Grid architecture, wireless Last-Mile Network (LMN) devices as smart meters and intelligent home control machines are normally installed in harsh and lossy communication environment. In order to improve communication reliability of LMN, we proposed Wireless Topology Aware Content Centric Networking (TOP-CCN) protocol. TOP-CCN reduces channel access overhead of traditional Content Centric Networking and supports efficient multicast message transmission by using Multiple Point Relay (MPR), and Publisher MPR (PMPR). In addition, TOP-CCN LMN provides simple multi-hop forwarding scheme that can reduce the traditional routing control message overhead in multi-hop wireless LMN environment. The simulation result shows TOP-CCN can improve the service provisioning time and reliability compared to traditional IP based network model in LMN.

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Wireless Neighborhood Area Networks With QoS Support for Demand Response in Smart Grid

Cited by 66 publications

References 19 publications

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

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

Effectiveness and Comparison of Digital Substations Over Conventional Substations

Flooding Message Mitigation of Wireless Content Centric Networking for Last-Mile Smart-Grid

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