Pub Date : 2010-11-04DOI: 10.1109/SMARTGRID.2010.5622046
G. Dán, H. Sandberg
State estimators in power systems are currently used to, for example, detect faulty equipment and to route power flows. It is believed that state estimators will also play an increasingly important role in future smart power grids, as a tool to optimally and more dynamically route power flows. Therefore security of the estimator becomes an important issue. The estimators are currently located in control centers, and large numbers of measurements are sent over unencrypted communication channels to the centers. We here study stealthy false-data attacks against these estimators. We define a security measure tailored to quantify how hard attacks are to perform, and describe an efficient algorithm to compute it. Since there are so many measurement devices in these systems, it is not reasonable to assume that all devices can be made encrypted overnight in the future. Therefore we propose two algorithms to place encrypted devices in the system such as to maximize their utility in terms of increased system security. We illustrate the effectiveness of our algorithms on two IEEE benchmark power networks under two attack and protection cost models.
{"title":"Stealth Attacks and Protection Schemes for State Estimators in Power Systems","authors":"G. Dán, H. Sandberg","doi":"10.1109/SMARTGRID.2010.5622046","DOIUrl":"https://doi.org/10.1109/SMARTGRID.2010.5622046","url":null,"abstract":"State estimators in power systems are currently used to, for example, detect faulty equipment and to route power flows. It is believed that state estimators will also play an increasingly important role in future smart power grids, as a tool to optimally and more dynamically route power flows. Therefore security of the estimator becomes an important issue. The estimators are currently located in control centers, and large numbers of measurements are sent over unencrypted communication channels to the centers. We here study stealthy false-data attacks against these estimators. We define a security measure tailored to quantify how hard attacks are to perform, and describe an efficient algorithm to compute it. Since there are so many measurement devices in these systems, it is not reasonable to assume that all devices can be made encrypted overnight in the future. Therefore we propose two algorithms to place encrypted devices in the system such as to maximize their utility in terms of increased system security. We illustrate the effectiveness of our algorithms on two IEEE benchmark power networks under two attack and protection cost models.","PeriodicalId":106908,"journal":{"name":"2010 First IEEE International Conference on Smart Grid Communications","volume":"141 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":"130426907","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.2010.5622007
Thomas M. Overman, R. Sackman
As increasing numbers of "smart" sensors and actuators are introduced into the electrical grid, the cyber security factor grows in significance, necessitating the implementation of information assurance controls for devices at all levels within the grid communications network. Determining the appropriate controls for any particular device first requires identifying its place within an established trust model. This paper aims to define a multilevel framework for a trust model to be used throughout the electrical grid. Assume compromise of control systems - A primary objective in developing this model is to support a distributed rather than hierarchical control system architecture based on the core assumption that the compromise of grid control system components and subsystems will always be to some extent unavoidable. Rather, therefore, than attempting to create an all-encompassing enclave of trust, our control system architectural model suggests that systems be designed in ways to narrow the sphere of implied trust by expecting the compromise of adjacent systems, thereby reducing the sphere of vulnerability. By starting with an expectation of control system component compromise or lack of trust, subsystem designs can be implemented with independent rather than dependent cyber security and energy control data flows. The term High Assurance Smart Grid (HASG) refers to a Smart Grid with a control system architecture characterized by a distributed architecture that is designed to mitigate against widespread failures when control system components themselves are compromised. Lessons-learned and best practices are adopted from power engineering, information technology, cyber security, and other disciplines to build the described HASG model.
{"title":"High Assurance Smart Grid: Smart Grid Control Systems Communications Architecture","authors":"Thomas M. Overman, R. Sackman","doi":"10.1109/SMARTGRID.2010.5622007","DOIUrl":"https://doi.org/10.1109/SMARTGRID.2010.5622007","url":null,"abstract":"As increasing numbers of \"smart\" sensors and actuators are introduced into the electrical grid, the cyber security factor grows in significance, necessitating the implementation of information assurance controls for devices at all levels within the grid communications network. Determining the appropriate controls for any particular device first requires identifying its place within an established trust model. This paper aims to define a multilevel framework for a trust model to be used throughout the electrical grid. Assume compromise of control systems - A primary objective in developing this model is to support a distributed rather than hierarchical control system architecture based on the core assumption that the compromise of grid control system components and subsystems will always be to some extent unavoidable. Rather, therefore, than attempting to create an all-encompassing enclave of trust, our control system architectural model suggests that systems be designed in ways to narrow the sphere of implied trust by expecting the compromise of adjacent systems, thereby reducing the sphere of vulnerability. By starting with an expectation of control system component compromise or lack of trust, subsystem designs can be implemented with independent rather than dependent cyber security and energy control data flows. The term High Assurance Smart Grid (HASG) refers to a Smart Grid with a control system architecture characterized by a distributed architecture that is designed to mitigate against widespread failures when control system components themselves are compromised. Lessons-learned and best practices are adopted from power engineering, information technology, cyber security, and other disciplines to build the described HASG model.","PeriodicalId":106908,"journal":{"name":"2010 First IEEE International Conference on Smart Grid Communications","volume":"15 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":"126466996","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.2010.5622033
Bernhard Jansen, C. Binding, O. Sundstrom, D. Gantenbein
This paper outlines an architectue of an electric vehicle (EV) based vehicle-to-grid (V2G) integrating virtual power plant (VPP). The overall system architecture, a sketch of the trip-prediction algorithm, and the associated optimization problem are provided. The communication requirements for our proposed architecture are derived, with emphasis on its reliabil- ity, responsiveness, security, and application-level behaviour. We propose extensive use of well- known, standardized, communica- tion protocols between EVs and the centralized VPP to transmit status and trip information from EVs to the VPP as well as to control the charging process.
{"title":"Architecture and Communication of an Electric Vehicle Virtual Power Plant","authors":"Bernhard Jansen, C. Binding, O. Sundstrom, D. Gantenbein","doi":"10.1109/SMARTGRID.2010.5622033","DOIUrl":"https://doi.org/10.1109/SMARTGRID.2010.5622033","url":null,"abstract":"This paper outlines an architectue of an electric vehicle (EV) based vehicle-to-grid (V2G) integrating virtual power plant (VPP). The overall system architecture, a sketch of the trip-prediction algorithm, and the associated optimization problem are provided. The communication requirements for our proposed architecture are derived, with emphasis on its reliabil- ity, responsiveness, security, and application-level behaviour. We propose extensive use of well- known, standardized, communica- tion protocols between EVs and the centralized VPP to transmit status and trip information from EVs to the VPP as well as to control the charging process.","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":"132493463","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.2010.5622065
D. Varodayan, G. Gao
Redundant metering is frequently used to verify the integrity of billing data reported by advanced metering infrastructure, but the redundant measurement introduces a potential confidentiality leak. We propose a way to encode the redundant measurement at a bit rate below its entropy, so that it cannot be decoded from the encoded bits alone. In this way, we guarantee information-theoretic confidentiality, regardless of the computational power of an eavesdropper. We provide practical Slepian-Wolf codes to realize security of up to 5 bit/sample for 8-bit samples based on actual power metering experiments.
{"title":"Redundant Metering for Integrity with Information-Theoretic Confidentiality","authors":"D. Varodayan, G. Gao","doi":"10.1109/SMARTGRID.2010.5622065","DOIUrl":"https://doi.org/10.1109/SMARTGRID.2010.5622065","url":null,"abstract":"Redundant metering is frequently used to verify the integrity of billing data reported by advanced metering infrastructure, but the redundant measurement introduces a potential confidentiality leak. We propose a way to encode the redundant measurement at a bit rate below its entropy, so that it cannot be decoded from the encoded bits alone. In this way, we guarantee information-theoretic confidentiality, regardless of the computational power of an eavesdropper. We provide practical Slepian-Wolf codes to realize security of up to 5 bit/sample for 8-bit samples based on actual power metering experiments.","PeriodicalId":106908,"journal":{"name":"2010 First IEEE International Conference on Smart Grid Communications","volume":"207 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":"131012519","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.2010.5622053
Stephen Dawson-Haggerty, A. Tavakoli, D. Culler
Existing routing protocols for sensor networks ei- ther exclusively focus on collection-based traffic, or optimize for point-to-point traffic in a homogeneous network. As these networks become more general, a mix of these workloads in a heterogeneous setting is expected, while still abiding by the resource constraints of low- power and lossy networks (L2Ns). Our design leverages the predominantly two-tiered topology of L2N deployments, with capable border routers supplementing resource-starved in- network nodes, and optimizes for the typical traffic workloads consisting mainly of collection based traffic with specific instances of point-to-point traffic. We present Hydro, a hybrid routing protocol that combines local agility with centralized control. In-network nodes use distributed DAG formation to provide default routes to border routers, concurrently forming the foundation for triangle point- to-point routing. Border Routers build a global, but typically incomplete, view of the network using topology reports received from in- network nodes, and subsequently install optimized routes in the network for active point-to-point flows. Building on the vast existing literature on distributed DAG for- mation in L2Ns and centralized routing in large-scale networks, our contribution lies in the merging of these ideas in the form of a routing protocol that addresses the needs of L2Ns while remaining grounded in their inherent constraints. Evaluations across testbeds and deployments demonstrate the performance and functionality of Hydro across a variety of workloads and network conditions.
{"title":"Hydro: A Hybrid Routing Protocol for Low-Power and Lossy Networks","authors":"Stephen Dawson-Haggerty, A. Tavakoli, D. Culler","doi":"10.1109/SMARTGRID.2010.5622053","DOIUrl":"https://doi.org/10.1109/SMARTGRID.2010.5622053","url":null,"abstract":"Existing routing protocols for sensor networks ei- ther exclusively focus on collection-based traffic, or optimize for point-to-point traffic in a homogeneous network. As these networks become more general, a mix of these workloads in a heterogeneous setting is expected, while still abiding by the resource constraints of low- power and lossy networks (L2Ns). Our design leverages the predominantly two-tiered topology of L2N deployments, with capable border routers supplementing resource-starved in- network nodes, and optimizes for the typical traffic workloads consisting mainly of collection based traffic with specific instances of point-to-point traffic. We present Hydro, a hybrid routing protocol that combines local agility with centralized control. In-network nodes use distributed DAG formation to provide default routes to border routers, concurrently forming the foundation for triangle point- to-point routing. Border Routers build a global, but typically incomplete, view of the network using topology reports received from in- network nodes, and subsequently install optimized routes in the network for active point-to-point flows. Building on the vast existing literature on distributed DAG for- mation in L2Ns and centralized routing in large-scale networks, our contribution lies in the merging of these ideas in the form of a routing protocol that addresses the needs of L2Ns while remaining grounded in their inherent constraints. Evaluations across testbeds and deployments demonstrate the performance and functionality of Hydro across a variety of workloads and network conditions.","PeriodicalId":106908,"journal":{"name":"2010 First IEEE International Conference on Smart Grid Communications","volume":"423 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":"115929555","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.2010.5622043
K. Budka, Jayant G. Deshpande, J. Hobby, Young-Jin Kim, Vladmir Kolesnikov, Wonsuck Lee, T. Reddington, M. Thottan, Chris A. White, Jungin Choi, Junhee Hong, Jinho Kim, Won Ko, Y. Nam, S. Sohn
In this paper, we outline the Grid 2.0 Research, a collaborative Smart Grid research program between Gachon Energy Research Institute (GERI) of Kyungwon University and Bell Labs of Alcatel-Lucent. Salient features of the Grid 2.0 Research are the active role of distributed fixed and mobile energy storage, distributed renewable energy sources, and active load-side participation. Our focus is not on the energy storage itself but rather on the supporting infrastructure including communication network, security, and economics of the Smart Grid. Grid 2.0 Research views the Smart Grid as an ecosystem. In this regard, we pay close attention to the components and systems which require significant fundamental advancement or systems which do not exist today, thus requiring innovative solutions or greater sophistication. In order to realize a functioning ecosystem, critical components and tools of the envisioned Smart Grid are identified. This research work has been motivated by the Smart Grid roadmap of KEPCO and the Jeju Island Smart Grid Test-bed of Korea which will be discussed following the introduction section. Areas of research focus will be explained in a concise manner in the subsequent sections.
{"title":"GERI - Bell Labs Smart Grid Research Focus: Economic Modeling, Networking, and Security & Privacy","authors":"K. Budka, Jayant G. Deshpande, J. Hobby, Young-Jin Kim, Vladmir Kolesnikov, Wonsuck Lee, T. Reddington, M. Thottan, Chris A. White, Jungin Choi, Junhee Hong, Jinho Kim, Won Ko, Y. Nam, S. Sohn","doi":"10.1109/SMARTGRID.2010.5622043","DOIUrl":"https://doi.org/10.1109/SMARTGRID.2010.5622043","url":null,"abstract":"In this paper, we outline the Grid 2.0 Research, a collaborative Smart Grid research program between Gachon Energy Research Institute (GERI) of Kyungwon University and Bell Labs of Alcatel-Lucent. Salient features of the Grid 2.0 Research are the active role of distributed fixed and mobile energy storage, distributed renewable energy sources, and active load-side participation. Our focus is not on the energy storage itself but rather on the supporting infrastructure including communication network, security, and economics of the Smart Grid. Grid 2.0 Research views the Smart Grid as an ecosystem. In this regard, we pay close attention to the components and systems which require significant fundamental advancement or systems which do not exist today, thus requiring innovative solutions or greater sophistication. In order to realize a functioning ecosystem, critical components and tools of the envisioned Smart Grid are identified. This research work has been motivated by the Smart Grid roadmap of KEPCO and the Jeju Island Smart Grid Test-bed of Korea which will be discussed following the introduction section. Areas of research focus will be explained in a concise manner in the subsequent sections.","PeriodicalId":106908,"journal":{"name":"2010 First IEEE International Conference on Smart Grid Communications","volume":"18 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":"124386733","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.2010.5622083
Pu Huang, J. Kalagnanam, R. Natarajan, D. Hammerstrom, R. Melton, Mayank Sharma, R. Ambrosio
We have embarked on a comprehensive smart grid demonstration project in the Pacific Northwest involving 60,000 customers from 12 utilities across 5 states, covering the end-to-end electrical system from generation to consumption, built around a substantial infrastructure of deployed smart meters. The goal of this project is to demonstrate among other things how transactive control can be used to manage distributed generation and demand response. The current plan is to test a hierarchical but decentralized control system where each node of the power grid uses local signals of demand and price to match supply with demand at varying frequencies of up to every 5 minutes or less. In this paper we discuss different theoretical and practical aspects of transactive control, and identify the analytic methods that would need to be explored to operationalize such a design.
{"title":"Analytics and Transactive Control Design for the Pacific Northwest Smart Grid Demonstration Project","authors":"Pu Huang, J. Kalagnanam, R. Natarajan, D. Hammerstrom, R. Melton, Mayank Sharma, R. Ambrosio","doi":"10.1109/SMARTGRID.2010.5622083","DOIUrl":"https://doi.org/10.1109/SMARTGRID.2010.5622083","url":null,"abstract":"We have embarked on a comprehensive smart grid demonstration project in the Pacific Northwest involving 60,000 customers from 12 utilities across 5 states, covering the end-to-end electrical system from generation to consumption, built around a substantial infrastructure of deployed smart meters. The goal of this project is to demonstrate among other things how transactive control can be used to manage distributed generation and demand response. The current plan is to test a hierarchical but decentralized control system where each node of the power grid uses local signals of demand and price to match supply with demand at varying frequencies of up to every 5 minutes or less. In this paper we discuss different theoretical and practical aspects of transactive control, and identify the analytic methods that would need to be explored to operationalize such a design.","PeriodicalId":106908,"journal":{"name":"2010 First IEEE International Conference on Smart Grid Communications","volume":"32 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":"123511243","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.2010.5622087
S. Yoneda
Concerns about climate change and greenhouse gas (GHG) emissions would make us reduce our dependency on carbon-based energy sources. The current infrastructure is optimized for the use of carbon-based energy. Due to the low energy densities of low-carbon sources, the same infrastructure might not be suitable or efficient. Therefore, design issues pertaining to the low-carbon infrastructure are investigated, and this paper suggests a centralized conventional architecture laid over many new small distributed low-carbon electrical and communication infrastructure.
{"title":"Design of Low-Carbon Electric and Communication Infrastructure","authors":"S. Yoneda","doi":"10.1109/SMARTGRID.2010.5622087","DOIUrl":"https://doi.org/10.1109/SMARTGRID.2010.5622087","url":null,"abstract":"Concerns about climate change and greenhouse gas (GHG) emissions would make us reduce our dependency on carbon-based energy sources. The current infrastructure is optimized for the use of carbon-based energy. Due to the low energy densities of low-carbon sources, the same infrastructure might not be suitable or efficient. Therefore, design issues pertaining to the low-carbon infrastructure are investigated, and this paper suggests a centralized conventional architecture laid over many new small distributed low-carbon electrical and communication infrastructure.","PeriodicalId":106908,"journal":{"name":"2010 First IEEE International Conference on Smart Grid Communications","volume":"12 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":"129465420","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.2010.5622096
M. Caramanis, J. M. Foster, Evegeniy A. Goldis
We consider load-side participation in electricity markets construed broadly to include energy as well as reserve transactions. Extending work in optimal plug-in-hybrid electric vehicle (PHEV) charging, we develop a decision support tool for load-side participation in energy markets, recognizing that it must be responsive to local distribution network dynamic congestion and marginal line loses. We address the related sequential day-ahead and hour-ahead/real-time markets by modeling the interaction of a Load Aggregator (LA) participating in the transmission-level wholesale electricity market with its Smart Microgrid Affiliates (SMAs) connected at the distribution network. We optimize bidding of the LA to the day-ahead market coordinated with real-time market bidding of both the LA and SMAs.
{"title":"Load Participation in Electricity Markets: Day-Ahead and Hour-Ahead Market Coupling with Wholesale/Transmission and Retail/Distribution Cost and Congestion Modeling","authors":"M. Caramanis, J. M. Foster, Evegeniy A. Goldis","doi":"10.1109/SMARTGRID.2010.5622096","DOIUrl":"https://doi.org/10.1109/SMARTGRID.2010.5622096","url":null,"abstract":"We consider load-side participation in electricity markets construed broadly to include energy as well as reserve transactions. Extending work in optimal plug-in-hybrid electric vehicle (PHEV) charging, we develop a decision support tool for load-side participation in energy markets, recognizing that it must be responsive to local distribution network dynamic congestion and marginal line loses. We address the related sequential day-ahead and hour-ahead/real-time markets by modeling the interaction of a Load Aggregator (LA) participating in the transmission-level wholesale electricity market with its Smart Microgrid Affiliates (SMAs) connected at the distribution network. We optimize bidding of the LA to the day-ahead market coordinated with real-time market bidding of both the LA and SMAs.","PeriodicalId":106908,"journal":{"name":"2010 First IEEE International Conference on Smart Grid Communications","volume":"20 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":"128675443","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.2010.5622038
C. Hochgraf, R. Tripathi, S. Herzberg
Charging large numbers of Plug-in Electric Vehicles may result in overloading sections of the electric power grid at certain times of the day. Smart grid technologies can be used to delay charging or regulate charging rates, enabling the existing power system to handle the increased load without having to increase peak power capacity of feeders or add generation. A key component of the Smart Grid is its communication system. We discuss the use of the GSM network and SMS text messages as an option for SmartGrid communication and present a system that provides the ISO control of thousands of mobile PEV chargers using a simple SMS text message interface.
{"title":"Smart Grid Charger for Electric Vehicles Using Existing Cellular Networks and SMS Text Messages","authors":"C. Hochgraf, R. Tripathi, S. Herzberg","doi":"10.1109/SMARTGRID.2010.5622038","DOIUrl":"https://doi.org/10.1109/SMARTGRID.2010.5622038","url":null,"abstract":"Charging large numbers of Plug-in Electric Vehicles may result in overloading sections of the electric power grid at certain times of the day. Smart grid technologies can be used to delay charging or regulate charging rates, enabling the existing power system to handle the increased load without having to increase peak power capacity of feeders or add generation. A key component of the Smart Grid is its communication system. We discuss the use of the GSM network and SMS text messages as an option for SmartGrid communication and present a system that provides the ISO control of thousands of mobile PEV chargers using a simple SMS text message interface.","PeriodicalId":106908,"journal":{"name":"2010 First IEEE International Conference on Smart Grid Communications","volume":"14 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":"127854610","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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