Optimum number of aggregators based on power consumption, cost, and network lifetime in advanced metering infrastructure architecture for Smart Grid Internet of Things

Ghasempour, Alireza

doi:10.1109/ccnc.2016.7444787

Cited by 52 publications

(13 citation statements)

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“…The smart grid is proposed to solve the issues of electricity grid (e.g., low reliability, high outages, high greenhouse gas and carbon emission, economics, safety, and energy security) [34]. One of the definitions for the smart grid is that the smart grid is a communication network on top of the electricity grid to gather and analyze data from different components of a power grid to predict power supply and demand which can be used for power management [8]. For comprehensive details and information about characteristics and benefits of the SG, comparison between a power grid and SG, and general requirements of a communication network in a SG, the readers can see chapter 3 of [35].…”

Section: Smart Gridmentioning

confidence: 99%

“…Also, IoT can be defined as a connection of people and things at any time, in any place, with anything and anyone, using any path and any service [7,8]. This implies addressing elements such as convergence, content, collections (repositories), computing, communication, and connectivity in the context where there is a seamless interconnection between people/humans and things and/or between things (see Figure 1) [9].…”

Section: Introductionmentioning

confidence: 99%

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Internet of Things in Smart Grid: Architecture, Applications, Services, Key Technologies, and Challenges

2019

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Internet of Things (IoT) is a connection of people and things at any time, in any place, with anyone and anything, using any network and any service. Thus, IoT is a huge dynamic global network infrastructure of Internet-enabled entities with web services. One of the most important applications of IoT is the Smart Grid (SG). SG is a data communications network which is integrated with the power grid to collect and analyze data that are acquired from transmission lines, distribution substations, and consumers. In this paper, we talk about IoT and SG and their relationship. Some IoT architectures in SG, requirements for using IoT in SG, IoT applications and services in SG, and challenges and future work are discussed.

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Section: Smart Gridmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Internet of Things in Smart Grid: Architecture, Applications, Services, Key Technologies, and Challenges

2019

Self Cite

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“…In equation (3), * is the conjugation, ( ) A t and ( ) φ t are the amplitude and phase of a dynamic signal, respectively, at moment t .…”

Section: Power Signal Dynamic Modelmentioning

confidence: 99%

“…A smart grid (SG) is a data communications network which is integrated with the power grid to collect and analyze data that are acquired from transmission lines, distribution substations, and consumers [1]. SG is based on an integrated and high-speed two-way communication network, applying advanced sensing and measurement technology, equipment technology, control methods, and decision support systems to realize a reliable, safe, economical, efficient, friendly, and safe grid [2,3]. The core of a smart grid mainly includes the following aspects: a real-time collection and transmission of the power system data using sensors [4], a data integration system, and a data collection system [5,6].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Synchronous Phasor Measurement Algorithm Based on Compressed Sensing

2020

KSII TIIS

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The synchronous phasor measurement algorithm is the core content of the phasor measurement unit. This manuscript proposes a dynamic synchronous phasor measurement algorithm based on compressed sensing theory. First, a dynamic signal model based on the Taylor series was established. The dynamic power signal was preprocessed using a least mean square error adaptive filter to eliminate interference from noise and harmonic components. A Chirplet overcomplete dictionary was then designed to realize a sparse representation. A reduction of the signal dimension was next achieved using a Gaussian observation matrix. Finally, the improved orthogonal matching pursuit algorithm was used to realize the sparse decomposition of the signal to be detected, the amplitude and phase of the original power signal were estimated according to the best matching atomic parameters, and the total vector error index was used for an error evaluation. Chroma 61511 was used for the output of various signals, the simulation results of which show that the proposed algorithm cannot only effectively filter out interference signals, it also achieves a better dynamic response performance and stability compared with a traditional DFT algorithm and the improved DFT synchronous phasor measurement algorithm, and the phasor measurement accuracy of the signal is greatly improved. In practical applications, the hardware costs of the system can be further reduced.

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“…Its definition is basically "the implemented realization of a logical architecture/design that brings together vertical data flows within and across city systems on a horizontal layer" [3,4]. The means to exploit the Urban Platform is via the integration of new technologies, such as Internet of Things (IoT), Machine-To-Machine (M2M), cloud, mobile or Big-Data, among others [5,6]. Thanks to them, the data interoperability between verticals (e.g., mobility, governance, energy) would enable the deployment of the aforementioned holistic digital services.…”

Section: Introductionmentioning

confidence: 99%

Interoperable Open Specifications Framework for the Implementation of Standardized Urban Platforms

Hernández¹,

García²,

Schonowski³

et al. 2020

Sensors

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The current cities' urban challenges go through digitalization and integration of new technologies under the perspective of actual and future ecological, as well as socio-economic commitments. This process is translated into the Open Standardized Urban Data Platform, which plays a pivotal role. Within its main functionalities, data ingestion, analytics and services as vertical domains become necessary to create more environmentally friendly cities. However, there still exist some deficits. Among them, openness and interoperability are outlined. On the one hand, there is a lack of open data initiatives for increasing the smart services stock. On the other hand, interoperability depends upon vendors and integrators, reducing the possibilities of Smart City growth. In this context, under the mySMARTLife project (GA #731297) umbrella, an Open Specifications Framework has been developed in order to address four main issues: (1) data interoperability; (2) services or verticals interoperability; (3) openness; and (4) replicability. It enlightens the implementation and integration of multiple city domains (like infrastructures, mobility, energy, buildings) for smart management and big-data analytics. Its applicability is demonstrated in the three lighthouse cities of the project, Nantes (France), Hamburg (Germany) and Helsinki (Finland).

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Optimum number of aggregators based on power consumption, cost, and network lifetime in advanced metering infrastructure architecture for Smart Grid Internet of Things

Cited by 52 publications

References 1 publication

Internet of Things in Smart Grid: Architecture, Applications, Services, Key Technologies, and Challenges

Internet of Things in Smart Grid: Architecture, Applications, Services, Key Technologies, and Challenges

Dynamic Synchronous Phasor Measurement Algorithm Based on Compressed Sensing

Interoperable Open Specifications Framework for the Implementation of Standardized Urban Platforms

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