Pub Date : 2010-11-04DOI: 10.1109/SMARTGRID.2010.5622020
A. Pedersen, Einar Bragi Hauksson, P. B. Andersen, B. Poulsen, C. Traeholt, D. Gantenbein
As the power system evolves into a smarter and more flexible state, so must the communication technologies that support it. A key requirement for facilitating the distributed production of future grids is that communication and information are standardized to ensure interoperability. The IEC 61850 standard, which was originally aimed at substation automation, has been expanded to cover the monitoring and control of Distributed Energy Resources (DERs). By having a consistent and well- defined data model the standard enables a DER aggregator, such as a Virtual Power Plant (VPP), in communicating with a broad array of DERs. If the data model of IEC 61850 is combined with a set of contemporary web protocols, it can result in a major shift in how DERs can be accessed and coordinated. This paper describes how IEC 61850 can benefit from the REpresentational State Transfer (REST) service concept and how a server using these technologies can be used to interface with DERs as diverse as Electric Vehicles (EVs) and micro Combined Heat and Power (µCHP) units.
{"title":"Facilitating a Generic Communication Interface to Distributed Energy Resources: Mapping IEC 61850 to RESTful Services","authors":"A. Pedersen, Einar Bragi Hauksson, P. B. Andersen, B. Poulsen, C. Traeholt, D. Gantenbein","doi":"10.1109/SMARTGRID.2010.5622020","DOIUrl":"https://doi.org/10.1109/SMARTGRID.2010.5622020","url":null,"abstract":"As the power system evolves into a smarter and more flexible state, so must the communication technologies that support it. A key requirement for facilitating the distributed production of future grids is that communication and information are standardized to ensure interoperability. The IEC 61850 standard, which was originally aimed at substation automation, has been expanded to cover the monitoring and control of Distributed Energy Resources (DERs). By having a consistent and well- defined data model the standard enables a DER aggregator, such as a Virtual Power Plant (VPP), in communicating with a broad array of DERs. If the data model of IEC 61850 is combined with a set of contemporary web protocols, it can result in a major shift in how DERs can be accessed and coordinated. This paper describes how IEC 61850 can benefit from the REpresentational State Transfer (REST) service concept and how a server using these technologies can be used to interface with DERs as diverse as Electric Vehicles (EVs) and micro Combined Heat and Power (µCHP) units.","PeriodicalId":106908,"journal":{"name":"2010 First IEEE International Conference on Smart Grid Communications","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134153826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2010-11-04DOI: 10.1109/SMARTGRID.2010.5622049
D. Kundur, Xianyong Feng, Shan Liu, T. Zourntos, K. Butler-Purry
This paper presents a framework for cyber attack impact analysis of a smart grid. We focus on the model synthesis stage in which both cyber and physical grid entity relationships are modeled as directed graphs. Each node of the graph has associated state information that is governed by dynamical system equations that model the physics of the interaction (for electrical grid components) or functionality (for cyber grid elements). We illustrate how cause-effect relationships can be conveniently expressed for both analysis and extension to large-scale smart grid systems.
{"title":"Towards a Framework for Cyber Attack Impact Analysis of the Electric Smart Grid","authors":"D. Kundur, Xianyong Feng, Shan Liu, T. Zourntos, K. Butler-Purry","doi":"10.1109/SMARTGRID.2010.5622049","DOIUrl":"https://doi.org/10.1109/SMARTGRID.2010.5622049","url":null,"abstract":"This paper presents a framework for cyber attack impact analysis of a smart grid. We focus on the model synthesis stage in which both cyber and physical grid entity relationships are modeled as directed graphs. Each node of the graph has associated state information that is governed by dynamical system equations that model the physics of the interaction (for electrical grid components) or functionality (for cyber grid elements). We illustrate how cause-effect relationships can be conveniently expressed for both analysis and extension to large-scale smart grid systems.","PeriodicalId":106908,"journal":{"name":"2010 First IEEE International Conference on Smart Grid Communications","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131363017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2010-11-04DOI: 10.1109/SMARTGRID.2010.5622059
K. Hung, W. Lee, V. Li, K. Lui, P. Pong, K. Wong, G. Yang, J. Zhong
The transmission of energy is monitored in the smart grid through deploying sensors in all the components, including the overhead transmission lines. There are many poles/towers supporting a long overhead transmission line. Naturally, sensors are deployed on the location close to the poles/towers on each span. Due to the limited transmission range of the wireless transceiver module of a sensor, researchers generally assume that data generated by a sensor have to be delivered to the substation through a set of sensors in-between. This results in a linear network model. In this paper, we first analyze the performance of this model in handling the traffics extracted from an existing testbed. We realize that the linear network model may not be sufficient to support future smart grid applications which may have diversified requirements on data delivery. We then study a new network model in which sensor/relay nodes can also communicate with other nodes using a wide area network such as the cellular network. In this new model, the network formed can be reconfigured based on the application requirements to deliver information to the substations efficiently and effectively.
{"title":"On Wireless Sensors Communication for Overhead Transmission Line Monitoring in Power Delivery Systems","authors":"K. Hung, W. Lee, V. Li, K. Lui, P. Pong, K. Wong, G. Yang, J. Zhong","doi":"10.1109/SMARTGRID.2010.5622059","DOIUrl":"https://doi.org/10.1109/SMARTGRID.2010.5622059","url":null,"abstract":"The transmission of energy is monitored in the smart grid through deploying sensors in all the components, including the overhead transmission lines. There are many poles/towers supporting a long overhead transmission line. Naturally, sensors are deployed on the location close to the poles/towers on each span. Due to the limited transmission range of the wireless transceiver module of a sensor, researchers generally assume that data generated by a sensor have to be delivered to the substation through a set of sensors in-between. This results in a linear network model. In this paper, we first analyze the performance of this model in handling the traffics extracted from an existing testbed. We realize that the linear network model may not be sufficient to support future smart grid applications which may have diversified requirements on data delivery. We then study a new network model in which sensor/relay nodes can also communicate with other nodes using a wide area network such as the cellular network. In this new model, the network formed can be reconfigured based on the application requirements to deliver information to the substations efficiently and effectively.","PeriodicalId":106908,"journal":{"name":"2010 First IEEE International Conference on Smart Grid Communications","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125074464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2010-11-04DOI: 10.1109/SMARTGRID.2010.5622070
I. Kim, B. Varadarajan, A. Dabak
We compare the performance of different powerline communication (PLC) systems under various realistic noise conditions, namely white noise, periodic impulsive noise in the time-domain, and narrowband co-channel interference. We base the study on narrowband (< 500 kHz) PLC based on OFDM in general, with specific focus on two prominent PLC industrial specifications for e-metering applications: PRIME and G3. From the simulation results, for white noise and for higher coding rates we find that the Reed Solomon (RS) outer code used in G3 yields significant gains, but can be improved by adapting the RS code rate to the packet size. For lower coding rates, we do not find significant advantage of adding RS coding. For time-domain impulsive noise, we find that the best performance-complexity tradeoff is obtained by choosing the interleaver size to be somewhere between one symbol (PRIME) and the entire packet (G3). Specifically, it is beneficial to choose an interleaver whose size is comparable to the AC lines period, which is the typically inter-burst duration of impulsive noise. For narrowband interference, both PRIME and G3 offer good performance, but PRIME is preferable because it achieves higher data rates by employing higher order modulation. The immunity to narrowband interference makes PRIME/G3 an attractive candidate for automotive charging applications.
{"title":"Performance Analysis and Enhancements of Narrowband OFDM Powerline Communication Systems","authors":"I. Kim, B. Varadarajan, A. Dabak","doi":"10.1109/SMARTGRID.2010.5622070","DOIUrl":"https://doi.org/10.1109/SMARTGRID.2010.5622070","url":null,"abstract":"We compare the performance of different powerline communication (PLC) systems under various realistic noise conditions, namely white noise, periodic impulsive noise in the time-domain, and narrowband co-channel interference. We base the study on narrowband (< 500 kHz) PLC based on OFDM in general, with specific focus on two prominent PLC industrial specifications for e-metering applications: PRIME and G3. From the simulation results, for white noise and for higher coding rates we find that the Reed Solomon (RS) outer code used in G3 yields significant gains, but can be improved by adapting the RS code rate to the packet size. For lower coding rates, we do not find significant advantage of adding RS coding. For time-domain impulsive noise, we find that the best performance-complexity tradeoff is obtained by choosing the interleaver size to be somewhere between one symbol (PRIME) and the entire packet (G3). Specifically, it is beneficial to choose an interleaver whose size is comparable to the AC lines period, which is the typically inter-burst duration of impulsive noise. For narrowband interference, both PRIME and G3 offer good performance, but PRIME is preferable because it achieves higher data rates by employing higher order modulation. The immunity to narrowband interference makes PRIME/G3 an attractive candidate for automotive charging applications.","PeriodicalId":106908,"journal":{"name":"2010 First IEEE International Conference on Smart Grid Communications","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116451534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2010-11-04DOI: 10.1109/SMARTGRID.2010.5621991
A. Domínguez-García, C. Hadjicostis
This paper discusses the utilization of distributed energy resources on the distribution side of the power grid to provide a number of ancillary services. While the individual capability of these resources to provide grid support might be very small, their presence in large numbers in many distribution networks implies that, under proper control, they can collectively become an asset for providing ancillary services. An example is the power electronics interface of a photovoltaic array mounted in a residential building roof. While its primary function is to control active power flow, when properly controlled, it can also be used to provide reactive power. This paper develops and analyzes distributed control strategies to enable the utilization of these distributed resources for provision of grid support services. We provide a careful analysis of the applicability capabilities and limitations of each of these strategies. Several simulation examples are provided to illustrate the proposed approaches.
{"title":"Coordination and Control of Distributed Energy Resources for Provision of Ancillary Services","authors":"A. Domínguez-García, C. Hadjicostis","doi":"10.1109/SMARTGRID.2010.5621991","DOIUrl":"https://doi.org/10.1109/SMARTGRID.2010.5621991","url":null,"abstract":"This paper discusses the utilization of distributed energy resources on the distribution side of the power grid to provide a number of ancillary services. While the individual capability of these resources to provide grid support might be very small, their presence in large numbers in many distribution networks implies that, under proper control, they can collectively become an asset for providing ancillary services. An example is the power electronics interface of a photovoltaic array mounted in a residential building roof. While its primary function is to control active power flow, when properly controlled, it can also be used to provide reactive power. This paper develops and analyzes distributed control strategies to enable the utilization of these distributed resources for provision of grid support services. We provide a careful analysis of the applicability capabilities and limitations of each of these strategies. Several simulation examples are provided to illustrate the proposed approaches.","PeriodicalId":106908,"journal":{"name":"2010 First IEEE International Conference on Smart Grid Communications","volume":"42 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124113579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2010-11-04DOI: 10.1109/SMARTGRID.2010.5622078
D. O'Neill, M. Levorato, A. Goldsmith, U. Mitra
We present a novel energy management system for residential demand response. The algorithm, named CAES, reduces residential energy costs and smooths energy usage. CAES is an online learning application that implicitly estimates the impact of future energy prices and of consumer decisions on long term costs and schedules residential device usage. CAES models both energy prices and residential device usage as Markov, but does not assume knowledge of the structure or transition probabilities of these Markov chains. CAES learns continuously and adapts to individual consumer preferences and pricing modifications over time. In numerical simulations CAES reduced average end-user financial costs from $16%$ to $40%$ with respect to a price-unaware energy allocation.
{"title":"Residential Demand Response Using Reinforcement Learning","authors":"D. O'Neill, M. Levorato, A. Goldsmith, U. Mitra","doi":"10.1109/SMARTGRID.2010.5622078","DOIUrl":"https://doi.org/10.1109/SMARTGRID.2010.5622078","url":null,"abstract":"We present a novel energy management system for residential demand response. The algorithm, named CAES, reduces residential energy costs and smooths energy usage. CAES is an online learning application that implicitly estimates the impact of future energy prices and of consumer decisions on long term costs and schedules residential device usage. CAES models both energy prices and residential device usage as Markov, but does not assume knowledge of the structure or transition probabilities of these Markov chains. CAES learns continuously and adapts to individual consumer preferences and pricing modifications over time. In numerical simulations CAES reduced average end-user financial costs from $16%$ to $40%$ with respect to a price-unaware energy allocation.","PeriodicalId":106908,"journal":{"name":"2010 First IEEE International Conference on Smart Grid Communications","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116766913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2010-11-04DOI: 10.1109/SMARTGRID.2010.5622088
P. Bredillet, E. Lambert, Eric Schultz
Abstract - The aim of this paper is to explain the technical choices that EDF R&D took and concrete building blocks that we are developing in order to build gradually a Smart Grid architecture in France and Europe. The technical choices regarding models are based on a model driven engineering approach relying on business information models like CIM (Common Information Model), 61850 and COSEM (Companion Specification for Energy Metering). The technical choices regarding architectures are based on Service Oriented Architecture. The paper illustrates what we are currently experimenting at EDF R&D and some methods or building blocks that we promote either at the level of European projects or at the IEC level.
{"title":"CIM, 61850, COSEM Standards Used in a Model Driven Integration Approach to Build the Smart Grid Service Oriented Architecture","authors":"P. Bredillet, E. Lambert, Eric Schultz","doi":"10.1109/SMARTGRID.2010.5622088","DOIUrl":"https://doi.org/10.1109/SMARTGRID.2010.5622088","url":null,"abstract":"Abstract - The aim of this paper is to explain the technical choices that EDF R&D took and concrete building blocks that we are developing in order to build gradually a Smart Grid architecture in France and Europe. The technical choices regarding models are based on a model driven engineering approach relying on business information models like CIM (Common Information Model), 61850 and COSEM (Companion Specification for Energy Metering). The technical choices regarding architectures are based on Service Oriented Architecture. The paper illustrates what we are currently experimenting at EDF R&D and some methods or building blocks that we promote either at the level of European projects or at the IEC level.","PeriodicalId":106908,"journal":{"name":"2010 First IEEE International Conference on Smart Grid Communications","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125246482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2010-11-04DOI: 10.1109/SMARTGRID.2010.5622019
T. Otani
We are developing a next-generation power grid in the low-carbon era, which operates and controls demandside equipment as well as that on the power generation and transmission sides. For these operations and controls, a computer unit, called a customer gateway in this paper, exchanges data with devices in customer premises and those in this grid. To ensure interoperability for communications with the customer gateway, a standard protocol such as IEC 62056 could be applied. The applicability of the latter for the customer gateway, however, remains to be ascertained. We specify the requirements for customer gateway communications in this paper. In addition, we show performance results measured using an experimental system with IEC 62056. Based on the requirements and results, we argue that IEC 62056 has no problem with respect to the transfer of data in bulk. In terms of latency, we must develop some methods to shorten the elapsed time and thus fulfill the requirements.
{"title":"A Primary Evaluation for Applicability of IEC 62056 to a Next-Generation Power Grid","authors":"T. Otani","doi":"10.1109/SMARTGRID.2010.5622019","DOIUrl":"https://doi.org/10.1109/SMARTGRID.2010.5622019","url":null,"abstract":"We are developing a next-generation power grid in the low-carbon era, which operates and controls demandside equipment as well as that on the power generation and transmission sides. For these operations and controls, a computer unit, called a customer gateway in this paper, exchanges data with devices in customer premises and those in this grid. To ensure interoperability for communications with the customer gateway, a standard protocol such as IEC 62056 could be applied. The applicability of the latter for the customer gateway, however, remains to be ascertained. We specify the requirements for customer gateway communications in this paper. In addition, we show performance results measured using an experimental system with IEC 62056. Based on the requirements and results, we argue that IEC 62056 has no problem with respect to the transfer of data in bulk. In terms of latency, we must develop some methods to shorten the elapsed time and thus fulfill the requirements.","PeriodicalId":106908,"journal":{"name":"2010 First IEEE International Conference on Smart Grid Communications","volume":"372 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124661104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2010-11-04DOI: 10.1109/SMARTGRID.2010.5622091
C. Ibars, M. Navarro, L. Giupponi
In this paper we propose distributed load management in smart grid infrastructures to control the power demand at peak hours, by means of dynamic pricing strategies. The distributed solution that we propose is based on a network congestion game, which can be demonstrated to converge in a finite number of steps to a pure Nash equilibrium solution. We take advantage of the remarkable property of congestion games, according to which they are equivalent to potential games. We define a potential function characterized by a meaningful physical interpretation, so that we obtain the favorable result that the optimal local solution of each selfish consumer is also the solution of a global objective. We evaluate this approach for managing both the demand and the grid load and we show that load control can be effectively achieved implementing a distributed solution, which significantly reduce the signaling burden over the network.
{"title":"Distributed Demand Management in Smart Grid with a Congestion Game","authors":"C. Ibars, M. Navarro, L. Giupponi","doi":"10.1109/SMARTGRID.2010.5622091","DOIUrl":"https://doi.org/10.1109/SMARTGRID.2010.5622091","url":null,"abstract":"In this paper we propose distributed load management in smart grid infrastructures to control the power demand at peak hours, by means of dynamic pricing strategies. The distributed solution that we propose is based on a network congestion game, which can be demonstrated to converge in a finite number of steps to a pure Nash equilibrium solution. We take advantage of the remarkable property of congestion games, according to which they are equivalent to potential games. We define a potential function characterized by a meaningful physical interpretation, so that we obtain the favorable result that the optimal local solution of each selfish consumer is also the solution of a global objective. We evaluate this approach for managing both the demand and the grid load and we show that load control can be effectively achieved implementing a distributed solution, which significantly reduce the signaling burden over the network.","PeriodicalId":106908,"journal":{"name":"2010 First IEEE International Conference on Smart Grid Communications","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129087127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2010-11-04DOI: 10.1109/SMARTGRID.2010.5622072
Wei Sun, Xiaojing Yuan, Jianping Wang, Dong Han, C. Zhang
In order to realize the Smart Grid vision, it is necessary to have guaranteed Quality of Service (QoS) for the communication and networking technology used in various stages of the Smart Grid, ranging from power generation, transmission, distribution, to the customer applications. The low cost wireless protocols such as Zigbee (using IEEE 802.15.4 defined physical and MAC layer) and Bluetooth (IEEE802.15.1) are especially useful for the power distribution system monitoring and customer applications. However, they do not support QoS and typically have a short propagation distance. In this paper, we propose to add the QoS into these low cost protocols by providing differentiated service for traffic of different priority at the MAC layer and use Zigbee as an example. Our analytical delay model and simulation results show that the proposed QoS enhancement can improve the delay and goodput of the network, thus ensuring the reliability, availability, and performance of a Smart Grid distribution monitoring and control.
{"title":"Quality of Service Networking for Smart Grid Distribution Monitoring","authors":"Wei Sun, Xiaojing Yuan, Jianping Wang, Dong Han, C. Zhang","doi":"10.1109/SMARTGRID.2010.5622072","DOIUrl":"https://doi.org/10.1109/SMARTGRID.2010.5622072","url":null,"abstract":"In order to realize the Smart Grid vision, it is necessary to have guaranteed Quality of Service (QoS) for the communication and networking technology used in various stages of the Smart Grid, ranging from power generation, transmission, distribution, to the customer applications. The low cost wireless protocols such as Zigbee (using IEEE 802.15.4 defined physical and MAC layer) and Bluetooth (IEEE802.15.1) are especially useful for the power distribution system monitoring and customer applications. However, they do not support QoS and typically have a short propagation distance. In this paper, we propose to add the QoS into these low cost protocols by providing differentiated service for traffic of different priority at the MAC layer and use Zigbee as an example. Our analytical delay model and simulation results show that the proposed QoS enhancement can improve the delay and goodput of the network, thus ensuring the reliability, availability, and performance of a Smart Grid distribution monitoring and control.","PeriodicalId":106908,"journal":{"name":"2010 First IEEE International Conference on Smart Grid Communications","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115143205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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