Pub Date : 2010-11-04DOI: 10.1109/SMARTGRID.2010.5622022
Xian Chen, Hieu T. Dinh, B. Wang
Smart grid is envisioned to incorporate local distributed power generation for better efficiency and flexibility. Distributed generation, when not used carefully, however, may compromise the stability of the grid. Recently, researchers have proposed innovative architectures (e.g., microgrid, LoCal grid) that virtualize a local generator as a constant load, source, or zero load to the grid, thus offering great promise to connect distributed generation into the grid without sacrificing its reliability. In fact, intuitively, using these architectures, distributed generation may enhance the stability of the power grid. In this paper, we develop a simulation model to quantify how much distributed generation can mitigate cascading failures. Applying this model to IEEE power grid test cases, we find that local power generation, even when only using a small number of local generators, can reduce the likelihood of cascading failures dramatically.
{"title":"Cascading Failures in Smart Grid - Benefits of Distributed Generation","authors":"Xian Chen, Hieu T. Dinh, B. Wang","doi":"10.1109/SMARTGRID.2010.5622022","DOIUrl":"https://doi.org/10.1109/SMARTGRID.2010.5622022","url":null,"abstract":"Smart grid is envisioned to incorporate local distributed power generation for better efficiency and flexibility. Distributed generation, when not used carefully, however, may compromise the stability of the grid. Recently, researchers have proposed innovative architectures (e.g., microgrid, LoCal grid) that virtualize a local generator as a constant load, source, or zero load to the grid, thus offering great promise to connect distributed generation into the grid without sacrificing its reliability. In fact, intuitively, using these architectures, distributed generation may enhance the stability of the power grid. In this paper, we develop a simulation model to quantify how much distributed generation can mitigate cascading failures. Applying this model to IEEE power grid test cases, we find that local power generation, even when only using a small number of local generators, can reduce the likelihood of cascading failures dramatically.","PeriodicalId":106908,"journal":{"name":"2010 First IEEE International Conference on Smart Grid Communications","volume":"31 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":"125769786","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.2010.5622047
G. Kalogridis, Costas Efthymiou, S. Denic, T. Lewis, R. Cepeda
Smart grid privacy encompasses the privacy of information extracted by analysing smart metering data. In this paper, we suggest that home electrical power routing can be used to moderate the home's load signature in order to hide appliance usage information. In particular, 1) we introduce a power management model using a rechargeable battery, 2) we propose a power mixing algorithm, and 3) we evaluate its protection level by proposing three different privacy metrics: an information theoretic (relative entropy), a clustering classification, and a correlation/regression one; these are tested on different metering datasets. This paper sets the ground for further research on the subject of optimising home energy management with regards to hiding load signatures.
{"title":"Privacy for Smart Meters: Towards Undetectable Appliance Load Signatures","authors":"G. Kalogridis, Costas Efthymiou, S. Denic, T. Lewis, R. Cepeda","doi":"10.1109/SMARTGRID.2010.5622047","DOIUrl":"https://doi.org/10.1109/SMARTGRID.2010.5622047","url":null,"abstract":"Smart grid privacy encompasses the privacy of information extracted by analysing smart metering data. In this paper, we suggest that home electrical power routing can be used to moderate the home's load signature in order to hide appliance usage information. In particular, 1) we introduce a power management model using a rechargeable battery, 2) we propose a power mixing algorithm, and 3) we evaluate its protection level by proposing three different privacy metrics: an information theoretic (relative entropy), a clustering classification, and a correlation/regression one; these are tested on different metering datasets. This paper sets the ground for further research on the subject of optimising home energy management with regards to hiding load signatures.","PeriodicalId":106908,"journal":{"name":"2010 First IEEE International Conference on Smart Grid Communications","volume":"72 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":"114531628","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.2010.5622085
Steve Bou Ghosn, P. Ranganathan, Saeed Salem, Jingpeng Tang, D. Loegering, K. Nygard
Electrical grids are highly complex and dynamic systems that can be unreliable, insecure, and inefficient in serving end consumers. The promise of Smart Grids lies in the architecting and developing of intelligent distributed and networked systems for automated monitoring and controlling of the grid to improve performance. We have designed an agent-oriented architecture for a simulation which can help in understanding Smart Grid issues and in identifying ways to improve the electrical grid. We focus primarily on the self-healing problem, which concerns methodologies for activating control solutions to take preventative actions or to handle problems after they occur. We present software design issues that must be considered in producing a system that is flexible, adaptable and scalable. Agent-based systems provide a paradigm for conceptualizing, designing, and implementing software systems. Agents are sophisticated computer programs that can act autonomously and communicate with each other across open and distributed environments. We present design issues that are appropriate in developing a Multi-agent System (MAS) for the grid. Our MAS is implemented in the Java Agent Development Framework (JADE). Our Smart Grid Simulation uses many types of agents to acquire and monitor data, support decision making, and represent devices, controls, alternative power sources, the environment, management functions, and user interfaces.
{"title":"Agent-Oriented Designs for a Self Healing Smart Grid","authors":"Steve Bou Ghosn, P. Ranganathan, Saeed Salem, Jingpeng Tang, D. Loegering, K. Nygard","doi":"10.1109/SMARTGRID.2010.5622085","DOIUrl":"https://doi.org/10.1109/SMARTGRID.2010.5622085","url":null,"abstract":"Electrical grids are highly complex and dynamic systems that can be unreliable, insecure, and inefficient in serving end consumers. The promise of Smart Grids lies in the architecting and developing of intelligent distributed and networked systems for automated monitoring and controlling of the grid to improve performance. We have designed an agent-oriented architecture for a simulation which can help in understanding Smart Grid issues and in identifying ways to improve the electrical grid. We focus primarily on the self-healing problem, which concerns methodologies for activating control solutions to take preventative actions or to handle problems after they occur. We present software design issues that must be considered in producing a system that is flexible, adaptable and scalable. Agent-based systems provide a paradigm for conceptualizing, designing, and implementing software systems. Agents are sophisticated computer programs that can act autonomously and communicate with each other across open and distributed environments. We present design issues that are appropriate in developing a Multi-agent System (MAS) for the grid. Our MAS is implemented in the Java Agent Development Framework (JADE). Our Smart Grid Simulation uses many types of agents to acquire and monitor data, support decision making, and represent devices, controls, alternative power sources, the environment, management functions, and user interfaces.","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":"129720217","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.2010.5622093
J. Kueck, A. Snyder, F. Li, I. Snyder
Abstract-This paper discusses the challenges and approach to using responsive load to supply ancillary services in the smart grid. We discuss the types of demand response and ancillary service they would provide by describing spinning reserve, regulation, etc., along with the needed response time and duration. The benefits of supplying ancillary services from loads instead of generation are covered, along with reduced losses, increased transmission capacity, and increased generation capacity. The paper discusses the concept of using smart meters to help large numbers of small loads provide services, barriers involved such as communication speed and interaction between various communication protocols, and the role of developing communication protocols to address these barriers.
{"title":"Use of Responsive Load to Supply Ancillary Services in the Smart Grid: Challenges and Approach","authors":"J. Kueck, A. Snyder, F. Li, I. Snyder","doi":"10.1109/SMARTGRID.2010.5622093","DOIUrl":"https://doi.org/10.1109/SMARTGRID.2010.5622093","url":null,"abstract":"Abstract-This paper discusses the challenges and approach to using responsive load to supply ancillary services in the smart grid. We discuss the types of demand response and ancillary service they would provide by describing spinning reserve, regulation, etc., along with the needed response time and duration. The benefits of supplying ancillary services from loads instead of generation are covered, along with reduced losses, increased transmission capacity, and increased generation capacity. The paper discusses the concept of using smart meters to help large numbers of small loads provide services, barriers involved such as communication speed and interaction between various communication protocols, and the role of developing communication protocols to address these barriers.","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":"128266517","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.2010.5621996
D. Forner, T. Erseghe, S. Tomasin, P. Tenti
Future power networks will include various local sources (LS)s as alternatives to centralized power generation in sustaining local loads. The cost of electrical power at LSs depends on the specific kind of the source, e.g., operating on renewable energy, using energy storage equipments, being a fuel cell, etc. In general, the cost will be proportional to the provided active power. In this paper we aim at optimizing the usage of LSs by carefully selecting current injection in order to minimize a total cost which includes the cost of the main source. The optimization is subject to constraints related both to LSs capabilities (i.e., maximum provided active power) and to the quality of the power provided by the main source (i.e., minimum power factor met at the electric utility interface). The system is described as a linear network characterized also by line impedances. We find that the problem is quadratic with quadratic constraints and we resort to numerical methods for its solution. An iterative, suboptimal solution is also investigated, suited to be implemented in a distributed fashion.
{"title":"On Efficient Use of Local Sources in Smart Grids with Power Quality Constraints","authors":"D. Forner, T. Erseghe, S. Tomasin, P. Tenti","doi":"10.1109/SMARTGRID.2010.5621996","DOIUrl":"https://doi.org/10.1109/SMARTGRID.2010.5621996","url":null,"abstract":"Future power networks will include various local sources (LS)s as alternatives to centralized power generation in sustaining local loads. The cost of electrical power at LSs depends on the specific kind of the source, e.g., operating on renewable energy, using energy storage equipments, being a fuel cell, etc. In general, the cost will be proportional to the provided active power. In this paper we aim at optimizing the usage of LSs by carefully selecting current injection in order to minimize a total cost which includes the cost of the main source. The optimization is subject to constraints related both to LSs capabilities (i.e., maximum provided active power) and to the quality of the power provided by the main source (i.e., minimum power factor met at the electric utility interface). The system is described as a linear network characterized also by line impedances. We find that the problem is quadratic with quadratic constraints and we resort to numerical methods for its solution. An iterative, suboptimal solution is also investigated, suited to be implemented in a distributed fashion.","PeriodicalId":106908,"journal":{"name":"2010 First IEEE International Conference on Smart Grid Communications","volume":"11 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":"131028682","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.2010.5622055
G. Bag, R. Majumder, Ki-Hyung Kim
This paper proposes an application of low cost IPv6 based wireless sensor network in distributed generation. The wireless sensor network used in the proposed scheme is based on IEEE 802.15.4 link layer technology and the sensor nodes have the ability to communicate directly with other IP devices via internet. A web based service is appreciated for implementing the proposed smart power distribution and efficient power management system. Even a low bandwidth communication among the distributed generators and load centers can overcome the system operation challenges posed by network line parameters, failure of distributed generators and power shortage in the system. Power management can be improved significantly in a conventional decentralized power control by correcting the distributed generators reference signals as proposed in this paper. In order to ensure reliable communication between the sensor nodes or distributed generators and load center the paper proposes FRL scheme, which aims to determine the most reliable link for a sensor node on fly. This paper shows stable operation of the system for a range of operating conditions while ensuring reliable data transfer among the distributed generation.
{"title":"Low Cost Wireless Sensor Network in Distributed Generation","authors":"G. Bag, R. Majumder, Ki-Hyung Kim","doi":"10.1109/SMARTGRID.2010.5622055","DOIUrl":"https://doi.org/10.1109/SMARTGRID.2010.5622055","url":null,"abstract":"This paper proposes an application of low cost IPv6 based wireless sensor network in distributed generation. The wireless sensor network used in the proposed scheme is based on IEEE 802.15.4 link layer technology and the sensor nodes have the ability to communicate directly with other IP devices via internet. A web based service is appreciated for implementing the proposed smart power distribution and efficient power management system. Even a low bandwidth communication among the distributed generators and load centers can overcome the system operation challenges posed by network line parameters, failure of distributed generators and power shortage in the system. Power management can be improved significantly in a conventional decentralized power control by correcting the distributed generators reference signals as proposed in this paper. In order to ensure reliable communication between the sensor nodes or distributed generators and load center the paper proposes FRL scheme, which aims to determine the most reliable link for a sensor node on fly. This paper shows stable operation of the system for a range of operating conditions while ensuring reliable data transfer among the distributed generation.","PeriodicalId":106908,"journal":{"name":"2010 First IEEE International Conference on Smart Grid Communications","volume":"24 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":"132100900","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.2010.5622005
Zhifang Wang, A. Scaglione, R. Thomas
In this paper we apply the Singular Value Decomposition (SVD) analysis to examining the coupling structure of an electrical power grid in order to highlight opportunities for reducing the network traffic, by identifying what are the salient data that need to be communicated between parts of the infrastructure to apply a control action. Our main finding is that typical grid admittance matrices have singular values and vectors with only a small number of strong components. The SVD sparsity can be exploited to construct an efficient decentralized system-wide monitoring and control architecture. We also discuss the potential applications of the proposed architecture and its robustness under contingency; and experiment the SVD analysis with the NYISO-2935 system and the IEEE-300 system.
{"title":"Compressing Electrical Power Grids","authors":"Zhifang Wang, A. Scaglione, R. Thomas","doi":"10.1109/SMARTGRID.2010.5622005","DOIUrl":"https://doi.org/10.1109/SMARTGRID.2010.5622005","url":null,"abstract":"In this paper we apply the Singular Value Decomposition (SVD) analysis to examining the coupling structure of an electrical power grid in order to highlight opportunities for reducing the network traffic, by identifying what are the salient data that need to be communicated between parts of the infrastructure to apply a control action. Our main finding is that typical grid admittance matrices have singular values and vectors with only a small number of strong components. The SVD sparsity can be exploited to construct an efficient decentralized system-wide monitoring and control architecture. We also discuss the potential applications of the proposed architecture and its robustness under contingency; and experiment the SVD analysis with the NYISO-2935 system and the IEEE-300 system.","PeriodicalId":106908,"journal":{"name":"2010 First IEEE International Conference on Smart Grid Communications","volume":"7 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":"132006200","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.2010.5622057
Tim Godfrey, S. Mullen, D. Griffith, N. Golmie, R. Dugan, Craig Rodine
Our analysis of a complex Smart Grid control scheme uses simulation to model both the communication network and the power system. The control scheme uses a wireless communication network to activate distributed storage units in a segment of the electrical grid to compensate for temporary loss of power from a solar photovoltaic (PV) array. Our analytical model of the communication network provides a means to examine the effect of communication failures as a function of the radio frequency (RF) transmission power level. We use these results in an open source event-driven simulator to determine the impact on the electrical power system.
{"title":"Modeling Smart Grid Applications with Co-Simulation","authors":"Tim Godfrey, S. Mullen, D. Griffith, N. Golmie, R. Dugan, Craig Rodine","doi":"10.1109/SMARTGRID.2010.5622057","DOIUrl":"https://doi.org/10.1109/SMARTGRID.2010.5622057","url":null,"abstract":"Our analysis of a complex Smart Grid control scheme uses simulation to model both the communication network and the power system. The control scheme uses a wireless communication network to activate distributed storage units in a segment of the electrical grid to compensate for temporary loss of power from a solar photovoltaic (PV) array. Our analytical model of the communication network provides a means to examine the effect of communication failures as a function of the radio frequency (RF) transmission power level. We use these results in an open source event-driven simulator to determine the impact on the electrical power system.","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":"129171984","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.2010.5622095
Soumyadip Ghosh, J. Kalagnanam, D. Katz, M. Squillante, Xiaoxuan Zhang, E. Feinberg
We design an optimal incentive mechanism offered to energy customers at multiple network levels, e.g., distribution and feeder networks, with the aim of determining the lowest-cost aggregate energy demand reduction. Our model minimizes a utility's total cost for this mode of virtual demand generation, i.e., demand reduction, to achieve improvements in both total systemic costs and load reduction over existing mechanisms. We assume the utility can predict with reasonable accuracy the average load reduction response of end-users with respect to rebates by observing and learning from their past behavior. Within a single period formulation, we propose a heuristic policy that segments the customers according to their likelihood of reducing load. Within a multi-period formulation, we observe that customers who are more willing to reduce their aggregate demand over the entire horizon, rather than simply shifting their load to off-peak periods, tend to receive higher incentives, and vice versa.
{"title":"Incentive Design for Lowest Cost Aggregate Energy Demand Reduction","authors":"Soumyadip Ghosh, J. Kalagnanam, D. Katz, M. Squillante, Xiaoxuan Zhang, E. Feinberg","doi":"10.1109/SMARTGRID.2010.5622095","DOIUrl":"https://doi.org/10.1109/SMARTGRID.2010.5622095","url":null,"abstract":"We design an optimal incentive mechanism offered to energy customers at multiple network levels, e.g., distribution and feeder networks, with the aim of determining the lowest-cost aggregate energy demand reduction. Our model minimizes a utility's total cost for this mode of virtual demand generation, i.e., demand reduction, to achieve improvements in both total systemic costs and load reduction over existing mechanisms. We assume the utility can predict with reasonable accuracy the average load reduction response of end-users with respect to rebates by observing and learning from their past behavior. Within a single period formulation, we propose a heuristic policy that segments the customers according to their likelihood of reducing load. Within a multi-period formulation, we observe that customers who are more willing to reduce their aggregate demand over the entire horizon, rather than simply shifting their load to off-peak periods, tend to receive higher incentives, and vice versa.","PeriodicalId":106908,"journal":{"name":"2010 First IEEE International Conference on Smart Grid Communications","volume":"73 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":"129205358","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.2010.5622027
Husheng Li, Rukun Mao, L. Lai, R. Qiu
It is a key task in smart grid to send the readings of smart meters to an access point (AP) in a wireless manner. The requirements of scalability, realtimeness and security make the wireless meter reading highly challenging. On assuming that the number of smart meters is large and the data burst is sparse, i.e., only a small fraction of the smart meters are reporting their power loads at the same time, the technique of compressed sensing is applied for the wireless meter reading. The distinguishing feature of the compressed meter reading is that the active smart meters are allowed to transmit simultaneously and the AP is able to distinguish the reports from different smart meters. The simultaneous access results in uniform delays, in contrast to the possible large delay in carrier sensing multiple access (CSMA) technique. The random sequence used in the compressed sensing enhances the privacy and integrity of the meter reading. The validity of the proposed scheme is then demonstrated by numerical simulations.
{"title":"Compressed Meter Reading for Delay-Sensitive and Secure Load Report in Smart Grid","authors":"Husheng Li, Rukun Mao, L. Lai, R. Qiu","doi":"10.1109/SMARTGRID.2010.5622027","DOIUrl":"https://doi.org/10.1109/SMARTGRID.2010.5622027","url":null,"abstract":"It is a key task in smart grid to send the readings of smart meters to an access point (AP) in a wireless manner. The requirements of scalability, realtimeness and security make the wireless meter reading highly challenging. On assuming that the number of smart meters is large and the data burst is sparse, i.e., only a small fraction of the smart meters are reporting their power loads at the same time, the technique of compressed sensing is applied for the wireless meter reading. The distinguishing feature of the compressed meter reading is that the active smart meters are allowed to transmit simultaneously and the AP is able to distinguish the reports from different smart meters. The simultaneous access results in uniform delays, in contrast to the possible large delay in carrier sensing multiple access (CSMA) technique. The random sequence used in the compressed sensing enhances the privacy and integrity of the meter reading. The validity of the proposed scheme is then demonstrated by numerical simulations.","PeriodicalId":106908,"journal":{"name":"2010 First IEEE International Conference on Smart Grid Communications","volume":"11 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":"127617944","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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