Quality of Service in Networking for Smart Grid

2012 ◽  
pp. 233-256
Keyword(s):  
Quality Of Service ◽  
Smart Grid

Quality of service aware traffic scheduling in wireless smart grid communication

2017 ◽  
Vol 66 (2) ◽  
pp. 233-242 ◽  
Author(s):  
Parya Hajimirzaee ◽  
Mohammad Fathi ◽  
Nooruldeen Nasih Qader
Keyword(s):  
Quality Of Service ◽  
Smart Grid ◽  
Traffic Scheduling ◽  
Smart Grid Communication

scholarly journals Multiple Instances QoS Routing in RPL: Application to Smart Grids

Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2472 ◽  
Author(s):  
Jad Nassar ◽  
Matthieu Berthomé ◽  
Jérémy Dubrulle ◽  
Nicolas Gouvy ◽  
Nathalie Mitton ◽  
...  
Keyword(s):  
Quality Of Service ◽  
Smart Grid ◽  
Objective Function ◽  
Smart Grids ◽  
Control Point ◽  
Service Differentiation ◽  
Delivery Ratio ◽  
Lossy Networks ◽  
Packet Delivery

The Smart Grid (SG) aims to transform the current electric grid into a “smarter” network where the integration of renewable energy resources, energy efficiency and fault tolerance are the main benefits. This is done by interconnecting every energy source, storage point or central control point with connected devices, where heterogeneous SG applications and signalling messages will have different requirements in terms of reliability, latency and priority. Hence, data routing and prioritization are the main challenges in such networks. So far, RPL (Routing Protocol for Low-Power and Lossy networks) protocol is widely used on Smart Grids for distributing commands over the grid. RPL assures traffic differentiation at the network layer in wireless sensor networks through the logical subdivision of the network in multiple instances, each one relying on a specific Objective Function. However, RPL is not optimized for Smart Grids, as its main objective functions and their associated metric does not allow Quality of Service differentiation. To overcome this, we propose OFQS an objective function with a multi-objective metric that considers the delay and the remaining energy in the battery nodes alongside with the dynamic quality of the communication links. Our function automatically adapts to the number of instances (traffic classes) providing a Quality of Service differentiation based on the different Smart Grid applications requirements. We tested our approach on a real sensor testbed. The experimental results show that our proposal provides a lower packet delivery latency and a higher packet delivery ratio while extending the lifetime of the network compared to solutions in the literature.

scholarly journals Energy-efficient distributed heterogeneous clustered spectrum-aware cognitive radio sensor network for guaranteed quality of service in smart grid

2021 ◽  
Vol 17 (7) ◽  
pp. 155014772110283
Author(s):  
Emmanuel Ogbodo ◽  
David Dorrell ◽  
Adnan Abu-Mahfouz
Keyword(s):  
Quality Of Service ◽  
Cognitive Radio ◽  
Sensor Networks ◽  
Smart Grid ◽  
Sensor Network ◽  
Smart Grids ◽  
Cognitive Radio Sensor Networks ◽  
Cognitive Radio Sensor Network ◽  
Guaranteed Quality

The development of a modern electric power grid has triggered the need for large-scale monitoring and communication in smart grids for efficient grid automation. This has led to the development of smart grids, which utilize cognitive radio sensor networks, which are combinations of cognitive radios and wireless sensor networks. Cognitive radio sensor networks can overcome spectrum limitations and interference challenges. The implementation of dense cognitive radio sensor networks, based on the specific topology of smart grids, is one of the critical issues for guaranteed quality of service through a communication network. In this article, various topologies of ZigBee cognitive radio sensor networks are investigated. Suitable topologies with energy-efficient spectrum-aware algorithms of ZigBee cognitive radio sensor networks in smart grids are proposed. The performance of the proposed ZigBee cognitive radio sensor network model with its control algorithms is analyzed and compared with existing ZigBee sensor network topologies within the smart grid environment. The quality of service metrics used for evaluating the performance are the end-to-end delay, bit error rate, and energy consumption. The simulation results confirm that the proposed topology model is preferable for sensor network deployment in smart grids based on reduced bit error rate, end-to-end delay (latency), and energy consumption. Smart grid applications require prompt, reliable, and efficient communication with low latency. Hence, the proposed topology model supports heterogeneous cognitive radio sensor networks and guarantees network connectivity with spectrum-awareness. Hence, it is suitable for efficient grid automation in cognitive radio sensor network–based smart grids. The traditional model lacks these capability features.

scholarly journals A quality of service–aware preemptive tidal flow queuing model for wireless multimedia sensor networks in the smart grid environment

2017 ◽  
Vol 13 (7) ◽  
pp. 155014771771875
Author(s):  
Li Peizhe ◽  
Wu Muqing ◽  
Zhao Min ◽  
Liao Wenxing
Keyword(s):  
Quality Of Service ◽  
Smart Grid ◽  
Sensor Network ◽  
Communication System ◽  
Tidal Flow ◽  
Wireless Multimedia ◽  
Queuing Model ◽  
Grid Environment ◽  
Wireless Multimedia Sensor Network

The smart grid incorporates a two-way communication system between customers and the utility for advanced monitoring and intelligent control of supply and demand. Wireless multimedia sensor network can be treated as an organic supplement and a peripheral network in this two-way communication system. However, the challenging smart grid environment makes it difficult to achieve a high quality of service in wireless multimedia sensor network. This article proposes a prioritization mechanism that considers the heterogeneous characteristics of smart grid traffic. Specifically, an innovative channel allocation and traffic scheduling scheme, named the preemptive tidal flow queuing model, is presented. This scheme achieves differentiated services for diverse communication data when the wireless multimedia sensor network accesses the core network and ensures the performance for high-priority data at the expense of the performance for low-priority data. Simulation analyses show that the performance for high-priority messages can be reliably guaranteed and that the preemptive tidal flow queuing model satisfies the requirements for a wireless multimedia sensor network operating in the smart grid environment. This article offers three main contributions: the development of a prioritization mechanism specifically for a wireless multimedia sensor network in the smart grid environment, the proposal of the preemptive tidal flow queuing model, and the presentation of formulas and simulations to verify the performance of the preemptive tidal flow queuing model.

The Italian Regulatory Framework for Developing Smart Distribution Grids

2012 ◽  
Vol 13 (5) ◽  
Author(s):  
Valeria Olivieri ◽  
Maurizio Delfanti ◽  
Luca Lo Schiavo
Keyword(s):  
Quality Of Service ◽  
Smart Grid ◽  
Distribution System ◽  
Smart Grids ◽  
Low Voltage ◽  
Selection Process ◽  
Renewable Energy Sources ◽  
Regulatory Framework ◽  
System Level

Abstract The integration of Dispersed Generation (DG) is by far the most important and challenging issue that modern power systems are facing nowadays, and is the only way of exploiting Renewable Energy Sources (RES) for electric production. This revolution is running particularly fast in Europe, where significant incentive schemes have been promoted by many Member States in order to match the targets decided by the European institutions. As a consequence of the important share of RES already connected (especially to low voltage and medium voltage networks), new technical challenges have to be faced both at a distribution network level and at a transmission system level. Some of these challenges are covered by Smart grids that represent a new framework for improved management of distribution and transmission networks with attention to interoperability, security, resilience problems, and quality of service (QoS). It is recognized that an intelligent use of Information and Communication Technology (ICT), as enabling technology, is the only approach able to solve new problems arising on energy networks due to larger DG penetration, without hindering system security and QoS.The paper focuses on the Italian case and in particular on the Italian regulatory framework for developing Smart Grids, and describes the technical foundations of the regulatory innovations introduced by the Italian energy regulatory authority (Autorità per l’energia elettrica e il gas - AEEG). After a selection process based on cost/benefit assessment, some demonstration projects for Smart Grid proposed by Distribution System Operators have been awarded with special capital cost remuneration (extra WACC of 2% for 12 years, on top of the ordinary WACC equal to 7% for distribution investments). The smart grid demonstration projects founded by AEEG introduce and test a new advanced management of DG in order to avoid the problems coming from reverse power flowing and maintain the necessary level of security, availability and quality of service.

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