Pub Date : 2010-11-04DOI: 10.1109/SMARTGRID.2010.5622060
S. Galli, A. Scaglione, Zhifang Wang
The design of the Smart Grid requires solving a complex problem of combined sensing, communications and control and, thus, the problem of choosing a networking technology cannot be addressed without also taking into consideration requirements related to sensor networking and distributed control. These requirements are today still somewhat undefined so that it is not possible yet to give quantitative guidelines on how to choose one communication technology over the other. In this paper, we make a first qualitative attempt to better understand the role that Power Line Communications (PLCs) can have in the Smart Grid. Furthermore, we here report recent results on the electrical and topological properties of the power distribution network. The topological characterization of the power grid is not only important because it allows us to model the grid as an information source, but also because the grid becomes the actual physical information delivery infrastructure when PLCs are used.
{"title":"Power Line Communications and the Smart Grid","authors":"S. Galli, A. Scaglione, Zhifang Wang","doi":"10.1109/SMARTGRID.2010.5622060","DOIUrl":"https://doi.org/10.1109/SMARTGRID.2010.5622060","url":null,"abstract":"The design of the Smart Grid requires solving a complex problem of combined sensing, communications and control and, thus, the problem of choosing a networking technology cannot be addressed without also taking into consideration requirements related to sensor networking and distributed control. These requirements are today still somewhat undefined so that it is not possible yet to give quantitative guidelines on how to choose one communication technology over the other. In this paper, we make a first qualitative attempt to better understand the role that Power Line Communications (PLCs) can have in the Smart Grid. Furthermore, we here report recent results on the electrical and topological properties of the power distribution network. The topological characterization of the power grid is not only important because it allows us to model the grid as an information source, but also because the grid becomes the actual physical information delivery infrastructure when PLCs are used.","PeriodicalId":106908,"journal":{"name":"2010 First IEEE International Conference on Smart Grid Communications","volume":"9 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":"126074860","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.2010.5622001
Guang-Hua Yang, V. Li
In this work, we study the energy management system (EMS) in the customer domain of the Smart Grid. We discuss the desired features and design issues, highlight the characteristics and identify the challenges. To address the challenges, we propose the innovative framework of Pervasive Service-Oriented Networks (PERSON). The core idea is to utilize a heterogeneous network as the information infrastructure, abstract the functionalities into services, and deploy context- aware intelligence to address the system dynamics. Furthermore, based on the framework of PERSON, we implement a powerful yet cost-effective EMS. The effectiveness of the EMS is demonstrated by a demand response application.
{"title":"Energy Management System and Pervasive Service-Oriented Networks","authors":"Guang-Hua Yang, V. Li","doi":"10.1109/SMARTGRID.2010.5622001","DOIUrl":"https://doi.org/10.1109/SMARTGRID.2010.5622001","url":null,"abstract":"In this work, we study the energy management system (EMS) in the customer domain of the Smart Grid. We discuss the desired features and design issues, highlight the characteristics and identify the challenges. To address the challenges, we propose the innovative framework of Pervasive Service-Oriented Networks (PERSON). The core idea is to utilize a heterogeneous network as the information infrastructure, abstract the functionalities into services, and deploy context- aware intelligence to address the system dynamics. Furthermore, based on the framework of PERSON, we implement a powerful yet cost-effective EMS. The effectiveness of the EMS is demonstrated by a demand response application.","PeriodicalId":106908,"journal":{"name":"2010 First IEEE International Conference on Smart Grid Communications","volume":"106 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":"115985217","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.2010.5622097
A. Ghassemi, S. Bavarian, L. Lampe
One of the key foundations of smart grid (SG) is a reliable communications infrastructure which is a sophisticated, multi-layer network carrying different classes of data. SG communications needs to be designed to accommodate the current energy management requirements as well as the potential demand of future applications. In this paper, we propose the application of cognitive radio (CR) based on the IEEE 802.22 standard in the SG wide area networks (WANs). We discuss the benefits of the proposed scheme including opportunistic access of TV bands, extended coverage, ease of upgradability, self-healing and fault-tolerant design. The proposed scheme can work as a secondary radio particularly in urban areas and as a backup in disaster management. In rural areas, however, a stand-alone radio based on IEEE 802.22 can effectively provide broadband access because of the wide area coverage due to the good propagation characteristics of TV bands.
{"title":"Cognitive Radio for Smart Grid Communications","authors":"A. Ghassemi, S. Bavarian, L. Lampe","doi":"10.1109/SMARTGRID.2010.5622097","DOIUrl":"https://doi.org/10.1109/SMARTGRID.2010.5622097","url":null,"abstract":"One of the key foundations of smart grid (SG) is a reliable communications infrastructure which is a sophisticated, multi-layer network carrying different classes of data. SG communications needs to be designed to accommodate the current energy management requirements as well as the potential demand of future applications. In this paper, we propose the application of cognitive radio (CR) based on the IEEE 802.22 standard in the SG wide area networks (WANs). We discuss the benefits of the proposed scheme including opportunistic access of TV bands, extended coverage, ease of upgradability, self-healing and fault-tolerant design. The proposed scheme can work as a secondary radio particularly in urban areas and as a backup in disaster management. In rural areas, however, a stand-alone radio based on IEEE 802.22 can effectively provide broadband access because of the wide area coverage due to the good propagation characteristics of TV bands.","PeriodicalId":106908,"journal":{"name":"2010 First IEEE International Conference on Smart Grid Communications","volume":"68 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":"122351523","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.2010.5622081
A. Schulke, J. Bauknecht, Johannes Haussler
Future Power Grids are imagined to turn into an "Internet of Energies" with intelligent distributed control of a vast amount of controllable consuming and producing devices. This asks for advanced information systems to support the evolution to extended demand-response grid operations impacted by interactive communication control between different stakeholders and demands for high power quality. The proposed Energy Consumption Control platform aims to optimize the power grid by balancing rising and declining consumption demands against the production capacity over volume and time. A mechanisms is proposed to predict and control the energy consumption applying a time-shifted consumption pattern to electronically controllable devices either in form of device usage as passive storage or with re-scheduling of the consumption. The prime balancing trigger is the actual status of the distribution grid and not simply pricing signals.
{"title":"Power Demand Shifting with Smart Consumers: A Platform for Power Grid friendly Consumption Control Strategies","authors":"A. Schulke, J. Bauknecht, Johannes Haussler","doi":"10.1109/SMARTGRID.2010.5622081","DOIUrl":"https://doi.org/10.1109/SMARTGRID.2010.5622081","url":null,"abstract":"Future Power Grids are imagined to turn into an \"Internet of Energies\" with intelligent distributed control of a vast amount of controllable consuming and producing devices. This asks for advanced information systems to support the evolution to extended demand-response grid operations impacted by interactive communication control between different stakeholders and demands for high power quality. The proposed Energy Consumption Control platform aims to optimize the power grid by balancing rising and declining consumption demands against the production capacity over volume and time. A mechanisms is proposed to predict and control the energy consumption applying a time-shifted consumption pattern to electronically controllable devices either in form of device usage as passive storage or with re-scheduling of the consumption. The prime balancing trigger is the actual status of the distribution grid and not simply pricing signals.","PeriodicalId":106908,"journal":{"name":"2010 First IEEE International Conference on Smart Grid Communications","volume":"1 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":"130353624","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.2010.5622034
Gang Lu, Debraj De, Wenzhan Song
The evolution of traditional electricity grid into a state-of-the-art Smart Grid will need innovation in a number of dimensions: seamless integration of renewable energy sources, management of intermittent power supplies, realtime demand response, energy pricing strategy etc. The grid configuration will change from the central broadcasting network into a more distributed and dynamic network with two-way energy transmission. Information network is another necessary component that will be built on the power grid, which will measure the status of the whole power grid and control the energy flow. In this perspective of unsolved problems, we have designed SmartGridLab, an efficient Smart Grid testbed to help the research community analyze their designs and protocols in lab environment. This will foster the Smart Grid researchers to develop, analyze and compare different designs conveniently and efficiently. Our designed testbed consists of following major components: Intelligent Power Switch, power supply (main supply and renewable energy supply), energy demander (e.g. appliance), and an information network containing Power Meter. We have validated the usage of our designed testbed for greater research problems in Smart Grid.
{"title":"SmartGridLab: A Laboratory-Based Smart Grid Testbed","authors":"Gang Lu, Debraj De, Wenzhan Song","doi":"10.1109/SMARTGRID.2010.5622034","DOIUrl":"https://doi.org/10.1109/SMARTGRID.2010.5622034","url":null,"abstract":"The evolution of traditional electricity grid into a state-of-the-art Smart Grid will need innovation in a number of dimensions: seamless integration of renewable energy sources, management of intermittent power supplies, realtime demand response, energy pricing strategy etc. The grid configuration will change from the central broadcasting network into a more distributed and dynamic network with two-way energy transmission. Information network is another necessary component that will be built on the power grid, which will measure the status of the whole power grid and control the energy flow. In this perspective of unsolved problems, we have designed SmartGridLab, an efficient Smart Grid testbed to help the research community analyze their designs and protocols in lab environment. This will foster the Smart Grid researchers to develop, analyze and compare different designs conveniently and efficiently. Our designed testbed consists of following major components: Intelligent Power Switch, power supply (main supply and renewable energy supply), energy demander (e.g. appliance), and an information network containing Power Meter. We have validated the usage of our designed testbed for greater research problems in Smart Grid.","PeriodicalId":106908,"journal":{"name":"2010 First IEEE International Conference on Smart Grid Communications","volume":"116 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":"132519642","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.2010.5622073
S. Caron, G. Kesidis
In this paper, we study Demand Response (DR) problematics for different levels of information sharing in a smart grid. We propose a dynamic pricing scheme incentivizing consumers to achieve an aggregate load profile suitable for utilities, and study how close they can get to an ideal flat profile depending on how much information they share. When customers can share all their load profiles, we provide a distributed algorithm, set up as a cooperative game between consumers, which significantly reduces the total cost and peak-to-average ratio (PAR) of the system. In the absence of full information sharing (for reasons of privacy), when users have only access to the instantaneous total load on the grid, we provide distributed stochastic strategies that successfully exploit this information to improve the overall load profile. Simulation results confirm that these solutions efficiently benefit from information sharing within the grid and reduce both the total cost and PAR.
{"title":"Incentive-Based Energy Consumption Scheduling Algorithms for the Smart Grid","authors":"S. Caron, G. Kesidis","doi":"10.1109/SMARTGRID.2010.5622073","DOIUrl":"https://doi.org/10.1109/SMARTGRID.2010.5622073","url":null,"abstract":"In this paper, we study Demand Response (DR) problematics for different levels of information sharing in a smart grid. We propose a dynamic pricing scheme incentivizing consumers to achieve an aggregate load profile suitable for utilities, and study how close they can get to an ideal flat profile depending on how much information they share. When customers can share all their load profiles, we provide a distributed algorithm, set up as a cooperative game between consumers, which significantly reduces the total cost and peak-to-average ratio (PAR) of the system. In the absence of full information sharing (for reasons of privacy), when users have only access to the instantaneous total load on the grid, we provide distributed stochastic strategies that successfully exploit this information to improve the overall load profile. Simulation results confirm that these solutions efficiently benefit from information sharing within the grid and reduce both the total cost and PAR.","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":"132955294","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.2010.5622075
J. Hobby
Economic models should be based on real data if possible, and one of the most extensive data sources for energy consumption is the U.S. government's Residential Energy Consumption Survey (RECS). The survey results indicate what terms are most important, and they provide much of the data necessary to fit parameters of a demand function, but they neglect seasonal variations in prices and heating and cooling requirements. With some difficulty, weather information and seasonal price variations from other sources can be merged with RECS data. A further complication is the need for monthly data and for cooling and heating degree data relative to various base temperatures. We deal with these issues, explore various demand functions, and use nonlinear l east squares to fit their parameters to the data.
{"title":"Constructing Demand Response Models for Electric Power Consumption","authors":"J. Hobby","doi":"10.1109/SMARTGRID.2010.5622075","DOIUrl":"https://doi.org/10.1109/SMARTGRID.2010.5622075","url":null,"abstract":"Economic models should be based on real data if possible, and one of the most extensive data sources for energy consumption is the U.S. government's Residential Energy Consumption Survey (RECS). The survey results indicate what terms are most important, and they provide much of the data necessary to fit parameters of a demand function, but they neglect seasonal variations in prices and heating and cooling requirements. With some difficulty, weather information and seasonal price variations from other sources can be merged with RECS data. A further complication is the need for monthly data and for cooling and heating degree data relative to various base temperatures. We deal with these issues, explore various demand functions, and use nonlinear l east squares to fit their parameters to the data.","PeriodicalId":106908,"journal":{"name":"2010 First IEEE International Conference on Smart Grid Communications","volume":"202 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":"116394472","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.2010.5622052
C. Chauvenet, B. Tourancheau, D. Genon-Catalot, Pierre-Emmanuel Goudet, Mathieu Pouillot
In this paper, we propose a communication stack for powerline communication (PLC) based on open standards. Our aim is to provide interoperability features regarding others mediums with a robust and reliable communication stack for smart metering, home control or home area networks applica- tions. Our work is based on the adaptation of the IEEE 802.15.4 standard protocol. It is constrained by the low-power, lossy and low data-rate context of powerline transceiver that uses pulse modulation. We first make a quick survey and justify the use of the IEEE 802.15.4 standard over PLC by drawing a parallel with the Low-Rate Wireless Personal Area Network (LR-WPAN). We then focus on the convergence of the IPv6 protocol at the network level, with the 6LoWPAN adaptation. We present our initial implementation of the RPL setup and routing protocol. This allows for a full network layer stack and results in efficient routing in our low power, low data-rate and lossy network context. We then present a real testbed of this stack and the step by step validation of its performance with experiments of data exchanges between PLC nodes. Finally we present interoperability tests performed between wireless and PLC nodes. We conclude about the interest of such interoperability for the real usage of sensor networks with a feedback from field's applications deployment and our future work.
{"title":"A Communication Stack over PLC for Multi Physical Layer IPv6 Networking","authors":"C. Chauvenet, B. Tourancheau, D. Genon-Catalot, Pierre-Emmanuel Goudet, Mathieu Pouillot","doi":"10.1109/SMARTGRID.2010.5622052","DOIUrl":"https://doi.org/10.1109/SMARTGRID.2010.5622052","url":null,"abstract":"In this paper, we propose a communication stack for powerline communication (PLC) based on open standards. Our aim is to provide interoperability features regarding others mediums with a robust and reliable communication stack for smart metering, home control or home area networks applica- tions. Our work is based on the adaptation of the IEEE 802.15.4 standard protocol. It is constrained by the low-power, lossy and low data-rate context of powerline transceiver that uses pulse modulation. We first make a quick survey and justify the use of the IEEE 802.15.4 standard over PLC by drawing a parallel with the Low-Rate Wireless Personal Area Network (LR-WPAN). We then focus on the convergence of the IPv6 protocol at the network level, with the 6LoWPAN adaptation. We present our initial implementation of the RPL setup and routing protocol. This allows for a full network layer stack and results in efficient routing in our low power, low data-rate and lossy network context. We then present a real testbed of this stack and the step by step validation of its performance with experiments of data exchanges between PLC nodes. Finally we present interoperability tests performed between wireless and PLC nodes. We conclude about the interest of such interoperability for the real usage of sensor networks with a feedback from field's applications deployment and our future work.","PeriodicalId":106908,"journal":{"name":"2010 First IEEE International Conference on Smart Grid Communications","volume":"4 10 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":"116826499","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.2010.5621992
Jay Taneja, D. Culler, P. Dutta
Faced with an uncertain path forward to renewables portfolio standard (RPS) goals and the high cost of energy storage, we believe that deep demand side management must be a central strategy to achieve widespread penetration of renewable energy sources. We examine the variability of wind as a source of renewable, non-dispatchable energy and the loads that can be dispatched to match sources of this type. We identify two classes of dispatchable energy loads, and create models for these loads to match their consumption to the generation of energy sources, while introducing {em slack}, a generalized measure of dispatchability of energy. From these load models, we examine a number of techniques and considerations for source-following loads, including the sensitivity of thermostat constraints and the effects of aggregating appliance populations. Our results show a home heater that is able to reduce energy consumption by over 50% while increasing the proportion of renewable energy consumed versus grid energy.
{"title":"Towards Cooperative Grids: Sensor/Actuator Networks for Renewables Integration","authors":"Jay Taneja, D. Culler, P. Dutta","doi":"10.1109/SMARTGRID.2010.5621992","DOIUrl":"https://doi.org/10.1109/SMARTGRID.2010.5621992","url":null,"abstract":"Faced with an uncertain path forward to renewables portfolio standard (RPS) goals and the high cost of energy storage, we believe that deep demand side management must be a central strategy to achieve widespread penetration of renewable energy sources. We examine the variability of wind as a source of renewable, non-dispatchable energy and the loads that can be dispatched to match sources of this type. We identify two classes of dispatchable energy loads, and create models for these loads to match their consumption to the generation of energy sources, while introducing {em slack}, a generalized measure of dispatchability of energy. From these load models, we examine a number of techniques and considerations for source-following loads, including the sensitivity of thermostat constraints and the effects of aggregating appliance populations. Our results show a home heater that is able to reduce energy consumption by over 50% while increasing the proportion of renewable energy consumed versus grid energy.","PeriodicalId":106908,"journal":{"name":"2010 First IEEE International Conference on Smart Grid Communications","volume":"37 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":"125072558","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.2010.5621998
Z. Li, Zhenyuan Wang, J. Tournier, W. Peterson, Wenping Li, Yi Wang
Recognizing the value of an advanced metering infrastructure (AMI), utilities worldwide are deploying millions of smart meters. To better justify AMI investment, researchers have recognized the urgency to utilize the full potential of AMI to improve the quality of distribution management system (DMS) applications. However, the integration of AMI and DMS is a challenge as it entails different communication protocols and requirements for handling various meter information models. In addition, the AMI meter data load generated by millions of smart meters can potentially overwhelm DMS systems. To solve these problems, this paper introduces a unified integration solution that can easily adapt DMS systems to various AMI systems that use different communication protocols and meter data models. Besides caching and delivering meter data back and forth between DMS and AMI systems, the proposed solution architecturally isolates the two systems, minimizes the influence of AMI meter data load on DMS systems and vice versa.
{"title":"A Unified Solution for Advanced Metering Infrastructure Integration with a Distribution Management System","authors":"Z. Li, Zhenyuan Wang, J. Tournier, W. Peterson, Wenping Li, Yi Wang","doi":"10.1109/SMARTGRID.2010.5621998","DOIUrl":"https://doi.org/10.1109/SMARTGRID.2010.5621998","url":null,"abstract":"Recognizing the value of an advanced metering infrastructure (AMI), utilities worldwide are deploying millions of smart meters. To better justify AMI investment, researchers have recognized the urgency to utilize the full potential of AMI to improve the quality of distribution management system (DMS) applications. However, the integration of AMI and DMS is a challenge as it entails different communication protocols and requirements for handling various meter information models. In addition, the AMI meter data load generated by millions of smart meters can potentially overwhelm DMS systems. To solve these problems, this paper introduces a unified integration solution that can easily adapt DMS systems to various AMI systems that use different communication protocols and meter data models. Besides caching and delivering meter data back and forth between DMS and AMI systems, the proposed solution architecturally isolates the two systems, minimizes the influence of AMI meter data load on DMS systems and vice versa.","PeriodicalId":106908,"journal":{"name":"2010 First IEEE International Conference on Smart Grid Communications","volume":"21 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":"125683997","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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