Research of Architecture and Application of Internet of Things for Smart Grid

Zheng, Ling; Chen, Shuangbao; Xiang, Shuyue; Hu, Yanxiang

doi:10.1109/csss.2012.238

Cited by 30 publications

(16 citation statements)

References 1 publication

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“…SGAM is divided into SGAM SG planes and SGAM interoperability layers. Three-layered architecture [10], [11], [81], [119], [150]- [152] Layered architecture…”

Section: Architecturementioning

confidence: 99%

Internet of Things-Aided Smart Grid: Technologies, Architectures, Applications, Prototypes, and Future Research Directions

et al. 2019

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Traditional power grids are being transformed into Smart Grids (SGs) to address the issues in existing power system due to uni-directional information flow, energy wastage, growing energy demand, reliability and security. SGs offer bi-directional energy flow between service providers and consumers, involving power generation, transmission, distribution and utilization systems. SGs employ various devices for the monitoring, analysis and control of the grid, deployed at power plants, distribution centers and in consumers' premises in a very large number. Hence, an SG requires connectivity, automation and the tracking of such devices. This is achieved with the help of Internet of Things (IoT). IoT helps SG systems to support various network functions throughout the generation, transmission, distribution and consumption of energy by incorporating IoT devices (such as sensors, actuators and smart meters), as well as by providing the connectivity, automation and tracking for such devices. In this paper, we provide a comprehensive survey on IoTaided SG systems, which includes the existing architectures, applications and prototypes of IoT-aided SG systems. This survey also highlights the open issues, challenges and future research directions for IoT-aided SG systems. energy in accordance with the needs of the consumers within the constraints of power systems. Nearly, all the generation, transmission and distribution of electrical energy is owned by the utility companies who provide electrical energy to consumers and bill them accordingly to recover their costs and earn profit.The traditional power grid worked very well from its inception in 1870 until 1970 [1]. Even though the consumers' demand for energy grew exponentially, it was still rather predictable. However, there has been a dramatic change in the nature of electrical energy consumption since 1970, as the load of electronic devices has become the fastest growing element of the total electricity demand and new sources of high electricity consumption have been developed, such as Electric Vehicles (EVs). The power grids endure a significant wastage of energy due to a number of factors, such as consumers' inefficient appliances and lack of smart technology, inefficient routing and dispensation of electrical energy, unreliable communication and monitoring, and most importantly, lack of a mechanism to store the generated electrical energy [2]- [4]. Furthermore, power grids face some other challenges as well, including growing energy demand, reliability, security, emerging renewable energy sources and aging infrastructure problems to name a few.In order to solve these challenges, the Smart Grid (SG) paradigm has appeared as a promising solution with a variety of information and communication technologies. Such technologies can improve the effectiveness, efficiency, reliability, security, sustainability, stability and scalability of the traditional power grid [5]. SG differs from traditional power grids in many aspects. For instance, SG offers a bi-directional communicat...

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“…SGAM is divided into SGAM SG planes and SGAM interoperability layers. Three-layered architecture [10], [11], [81], [119], [150]- [152] Layered architecture…”

Section: Architecturementioning

confidence: 99%

Internet of Things-Aided Smart Grid: Technologies, Architectures, Applications, Prototypes, and Future Research Directions

et al. 2019

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show abstract

“…Although there is a reference model for the architecture of IoT services, 5 it is regarded as a model that cannot cover the increasing number of proposed architectures. 32 Those proposed architectures [10][11][12][13] almost contain a network layer even as is compulsory for IoT system, although the architecture does not explicitly contain a network layer. Song et al claimed that the wireless sensor network (WSN) architecture can be represented with component reuse, 33 and they also recommended component reuse or reusable source code to develop the operating system (OS), middleware, and virtual machine that is in use within IoT systems.…”

Section: Architecture Design Of Iot Softwarementioning

confidence: 99%

“…6,7 Such basis for certain variations proposed by previous studies. [10][11][12][13] These architectures are referred to as middleware-based, service-oriented architecture (SOA)-based, and five-layered architectures.…”

Section: Introductionmentioning

confidence: 99%

Evaluating energy efficiency of Internet of Things software architecture based on reusable software components

Kim

Choi

Hong

2017

International Journal of Distributed Sensor Networks

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Nowadays, Internet of Things technology has garnered a great amount of interest because it can make our life much easier, convenient, and even safer. Internet of Things devices can be connected to the Internet or to each other whenever and wherever in order to collect, process, and share information to support various services. In order to provide useful support, important issues related to security, performance, and energy consumption have to be considered. For example, important personal information can be easily exposed to others because Internet of Things can be easily hacked; low performance and high energy consumption can limit the effectiveness of devices. These issues can be considered as quality factors that need to be met in order to develop software applications in the Internet of Things domain. Energy consumption is critical to provide sustained service within mobile and wireless environments. To this end, this article focuses on how to develop Internet of Things software that takes low energy consumption into account. In particular, we propose energy evaluation techniques that are based on a software architecture that is designed to use reusable components. By performing an experiment, we could verify that our proposing method shows maximum 6.83% of error rate against code-based energy simulation. Our technique can help software engineers to judge whether or not software is developed to satisfy the particular requirements related with energy consumption.

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“…MTC can be applied in smart grid (SG) [12][13][14]. SG is an emerging technology which is designed to integrate advanced communication technologies into electrical power grids.…”

Section: Smart Grid Applicationsmentioning

confidence: 99%

“…In [14], the authors first demonstrate the general architecture and business characteristics of the IoT. Subsequently, a layered architecture of IoT applied in the area of SG is proposed from the perspective of business demand in four areas, namely electricity transmission, electric substation, electricity distribution and electricity usage.…”

Section: Smart Grid Applicationsmentioning

confidence: 99%

Spatial Clustering in Slotted ALOHA Two-Hop Random Access for Machine Type Communications

Zhao¹

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The LTE random access procedures proposed in 3GPP for Machine Type Communication (MTC) in current cellular systems may become overwhelmed when too many machine devices attempt to upload their data. In this thesis, we propose a two-hop slotted ALOHA-based cluster random access method to improve the performance of MTC. Due to the offloading from the random access channel to the slotted ALOHA, the number of contending devices is reduced, which alleviates the collision problem and results in a better performance. The utilization of the slotted ALOHA method also simplifies the access procedure, which can decrease the energy consumption of machine devices. Compared with previous literature, the reason we select the slotted ALOHA method for the first hop communication is that it is easy to implement and more efficient in resources and energy utilization.We introduce a clustering geometry model for machine locations. In this model, the machines join different clusters according to their location proximity, and the clustering of machine locations can be adjusted. We also define a clustering metric to measure the clustering of the locations. Some literature on different clustering algorithms is studied in the thesis. We conduct some mathematical analysis on the average energy consumption of machine devices in terms of the collision probability of message transmission.We examine the impact of location clustering on the system performance. Our results show that as the machine locations become more clustered, the overall performance metrics are improved. It can also be seen that the energy consumption can be dramatically decreased using the proposed scheme due to the simplified access procedure proposed. We also examine the impact of the number of devices and the number of clusters on the system performance with and without a fixed amount of clustering. Generally speaking, as the number of devices increases, the performance worsens, and as the number of clusters increases, the performance improves.iii iv On the personal side, I want to express my gratefulness to my parents. It is them who always back me up unconditionally and supports me all the way to lead a life and finish my Master Degree in Canada. I will love them forever.

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Research of Architecture and Application of Internet of Things for Smart Grid

Cited by 30 publications

References 1 publication

Internet of Things-Aided Smart Grid: Technologies, Architectures, Applications, Prototypes, and Future Research Directions

Internet of Things-Aided Smart Grid: Technologies, Architectures, Applications, Prototypes, and Future Research Directions

Evaluating energy efficiency of Internet of Things software architecture based on reusable software components

Spatial Clustering in Slotted ALOHA Two-Hop Random Access for Machine Type Communications

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