Evolution of Communication Technologies for Smart Grid applications

Ahmad, Usman; Shami, Sajjad Haider

doi:10.1016/j.rser.2012.11.002

Cited by 239 publications

(100 citation statements)

References 39 publications

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“…However, it's an expensive implementation on a wide range and also requires high power consumption. Furthermore, unfavorable weather conditions can also affect this technology [14], [15].…”

Section: K Wimaxmentioning

confidence: 99%

TSAN: Backbone Network Architecture for Smart Grid of P.R China

Memon¹,

Li²,

Memon³

et al. 2018

ijacsa

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Abstract-Network architecture of any real-time system must be robust enough to absorb several network failures and still work smoothly. Smart Grid Network is one of those big networks that should be considered and designed carefully because of its dependencies. There are several hybrid approaches that have been proposed using wireless and wired technologies by involving SDH/SONNET as a backbone network, but all technologies have their own limitations and can't be utilized due to various factors. In this paper, we propose a fiber optic based Gigabit Ethernet (1000BASE-ZX) network named as Territory Substation Area Network (T-SAN) for smart grid backbone architecture. It is a scalable architecture, with several desired features, like higher coverage, fault tolerance, robustness, reliability, and maximum availability. The use case of sample mapping the T-SAN on the map of People Republic of China proves its strength to become backhaul network of any territory or country, the results of implemented architecture and its protocol for fault detection and recovery reveals the ability of system survival under several random, multiple and simultaneous faults efficiently.

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“…However, it's an expensive implementation on a wide range and also requires high power consumption. Furthermore, unfavorable weather conditions can also affect this technology [14], [15].…”

Section: K Wimaxmentioning

confidence: 99%

TSAN: Backbone Network Architecture for Smart Grid of P.R China

Memon¹,

Li²,

Memon³

et al. 2018

ijacsa

View full text Add to dashboard Cite

show abstract

“…As a result, there is a plethora of communications architectures and technologies available within the scope of M2M communications for smart grids [25,26], ranging from monolithic architectures based on a single communications technology (e.g., cellular) to hierarchical and heterogeneous architectures that involve different communications technologies depending on the specific requirements of each communications segment (the latter in general presenting higher flexibility and scalability than the former).…”

Section: Overview Of the Deployed Communications Infrastructurementioning

confidence: 99%

Assessment of an Adaptive Load Forecasting Methodology in a Smart Grid Demonstration Project

et al. 2017

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This paper presents the implementation of an adaptive load forecasting methodology in two different power networks from a smart grid demonstration project deployed in the region of Madrid, Spain. The paper contains an exhaustive comparative study of different short-term load forecast methodologies, addressing the methods and variables that are more relevant to be applied for the smart grid deployment. The evaluation followed in this paper suggests that the performance of the different methods depends on the conditions of the site in which the smart grid is implemented. It is shown that some non-linear methods, such as support vector machine with a radial basis function kernel and extremely randomized forest offer good performance using only 24 lagged load hourly values, which could be useful when the amount of data available is limited due to communication problems in the smart grid monitoring system. However, it has to be highlighted that, in general, the behavior of different short-term load forecast methodologies is not stable when they are applied to different power networks and that when there is a considerable variability throughout the whole testing period, some methods offer good performance in some situations, but they fail in others. In this paper, an adaptive load forecasting methodology is proposed to address this issue improving the forecasting performance through iterative optimization: in each specific situation, the best short-term load forecast methodology is chosen, resulting in minimum prediction errors.

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“…Power Line Communication (PLC) merupakan teknologi komunikasi kabel dengan menggunakan sinyal pembawa yang dimodulasi pada infrastruktur kabel jaringan daya yang ada untuk komunikasi dua arah. Selain PLC, teknologi komunikasi yang dikembangkan pada perangkat smart grid atau smart appliance adalah Zigbee, Wi-fi, WiMax, GSM, GPRS, dan DASH7 (Usman & Shami, 2013).…”

Section: Pendahuluanunclassified

Minat Masyarakat dalam Menggunakan Smart Appliances

Yuniarti¹

2015

BPOSTEL

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Abstract- I. PENDAHULUANSmart appliance merupakan salah satu komponen penting dalam smart grid. Penerapan smart appliance sejalan dengan kebijakan untuk mengurangi konsumsi energi, mengurangi emisi karbon dan penyediaan energi dari energi terbarukan (EA Technology, 2011). Smart Appliance didefinisikan sebagai suatu produk yang menggunakan listrik sebagai sumber listrik utama dimana memiliki kemampuan untuk menerima, menginterpretasikan dan bertindak terhadap sinyal yang diterima dari suatu utilitas, pihak ketiga penyedia layanan energi atau peralatan manajemen energi rumah dan secara otomatis mengatur operasinya berdasarkan konten sinyal dan penyetelan dari pelanggan (Messner, 2011).Beberapa pabrikan global peralatan elektronik rumah seperti Samsung, LG, Whirlpool, GE dan Panasonic telah meluncurkan produk smart appliance yang memiliki berbagai kelebihan setelah sebelumnya melakukan serangkaian uji coba. Whirlpool sebagai salah satu pabrikan global dari Amerika Serikat memberi label 6th Sense LiveTM untuk produk smart appliance-nya. LG sebagai salah satu pabrikan global dari Korea meluncurkan serangkaian produk smart appliance mulai dari lemari es, mesin cuci dan oven dengan label Smart Thinq TM . Smart Thinq TM memiliki fitur yang menjadi pembeda dengan produk smart apppliance lainnya yaitu smart diagnosis dimana smart appliance akan memancarkan data berupa suara untuk berkomunikasi dengan LG call center melalui telepon atau mengirimkan data melalui jaringan Wi-fi kepada aplikasi smart phone.Komunikasi perangkat merupakan salah satu aspek penting dari suatu smart appliance. Perkembangan teknologi komunikasi perangkat smart appliance tidak terlepas dari perkembangan komunikasi perangkat pada smart grid baik komunikasi kabel maupun nirkabel. Power Line Communication (PLC) merupakan teknologi komunikasi kabel dengan menggunakan sinyal pembawa yang dimodulasi pada infrastruktur kabel jaringan daya yang ada untuk komunikasi dua arah. Selain PLC, teknologi komunikasi yang

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Evolution of Communication Technologies for Smart Grid applications

Cited by 239 publications

References 39 publications

TSAN: Backbone Network Architecture for Smart Grid of P.R China

TSAN: Backbone Network Architecture for Smart Grid of P.R China

Assessment of an Adaptive Load Forecasting Methodology in a Smart Grid Demonstration Project

Minat Masyarakat dalam Menggunakan Smart Appliances

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