Pub Date : 2014-11-01DOI: 10.1109/SmartGridComm.2014.7007725
Ke Ma, Le Xie, P. Kumar
We present a layered decomposition approach that permits a holistic solution to the storage, scheduling and pricing problems of Electric Vehicle (EV) Charging Stations. By exploiting time scales, these problems can be decomposed and solved layer by layer. In the top layer, at a long time scale, with grid power price and renewable energy represented by their long-term averages, and total demand following the price-demand curve, the optimal pricing scheme is obtained. The real-time charging and discharging operation of the battery, is considered in the middle layer. With average number of customers arriving determined by the price set at the top layer, the middle layer determines the optimal amounts of energy to buy from the grid and to use for charging. At the bottom layer, the scheduling policy of EV charging is determined while satisfying the total battery consumption obtained at the middle layer. We illustrate the algorithms with a simple example using ERCOT data, demonstrating the implementability of the architectural solution in real-time market operation of an EV charging station. Simulations show that the architectural decomposition does not incur any significant cost penalty.
{"title":"A layered architecture for EV charging stations based on time scale decomposition","authors":"Ke Ma, Le Xie, P. Kumar","doi":"10.1109/SmartGridComm.2014.7007725","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2014.7007725","url":null,"abstract":"We present a layered decomposition approach that permits a holistic solution to the storage, scheduling and pricing problems of Electric Vehicle (EV) Charging Stations. By exploiting time scales, these problems can be decomposed and solved layer by layer. In the top layer, at a long time scale, with grid power price and renewable energy represented by their long-term averages, and total demand following the price-demand curve, the optimal pricing scheme is obtained. The real-time charging and discharging operation of the battery, is considered in the middle layer. With average number of customers arriving determined by the price set at the top layer, the middle layer determines the optimal amounts of energy to buy from the grid and to use for charging. At the bottom layer, the scheduling policy of EV charging is determined while satisfying the total battery consumption obtained at the middle layer. We illustrate the algorithms with a simple example using ERCOT data, demonstrating the implementability of the architectural solution in real-time market operation of an EV charging station. Simulations show that the architectural decomposition does not incur any significant cost penalty.","PeriodicalId":6499,"journal":{"name":"2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"6 1","pages":"674-679"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80669327","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 : 2014-11-01DOI: 10.1109/SmartGridComm.2014.7007625
S. Riverso, Fabio Sarzo, G. Ferrari-Trecate
In this paper we propose a new decentralized control scheme for Islanded microGrids (ImGs) composed by the interconnection of Distributed Generation Units (DGUs). Local controllers regulate voltage and frequency at the Point of Common Coupling (PCC) of each DGU and they are able to guarantee stability of the overall ImG. The control design procedure is decentralized, since, besides two global scalar quantities, the synthesis of a local controller uses only information on the corresponding DGU and lines connected to it. Most important, our design procedure enables Plug-and-Play (PnP) operations: when a DGU is plugged in or out, only DGUs physically connected to it have to retune their local controllers. We study the performance of the proposed controllers simulating different scenarios in MatLab/Simulink and using indexes proposed in IEEE standards.
{"title":"Voltage and frequency control of islanded microgrids: A plug-and-play approach","authors":"S. Riverso, Fabio Sarzo, G. Ferrari-Trecate","doi":"10.1109/SmartGridComm.2014.7007625","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2014.7007625","url":null,"abstract":"In this paper we propose a new decentralized control scheme for Islanded microGrids (ImGs) composed by the interconnection of Distributed Generation Units (DGUs). Local controllers regulate voltage and frequency at the Point of Common Coupling (PCC) of each DGU and they are able to guarantee stability of the overall ImG. The control design procedure is decentralized, since, besides two global scalar quantities, the synthesis of a local controller uses only information on the corresponding DGU and lines connected to it. Most important, our design procedure enables Plug-and-Play (PnP) operations: when a DGU is plugged in or out, only DGUs physically connected to it have to retune their local controllers. We study the performance of the proposed controllers simulating different scenarios in MatLab/Simulink and using indexes proposed in IEEE standards.","PeriodicalId":6499,"journal":{"name":"2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"25 1","pages":"73-78"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80717722","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 : 2014-11-01DOI: 10.1109/SmartGridComm.2014.7007637
Wenyuan Tang, R. Jain
We consider an auction design problem, where an aggregator procures wind power from multiple wind farms. While the realized generation of each wind farm is random, the probability distribution can be learned beforehand as its private information. Since the wind farms are geographically close, the distributions are possibly correlated. We formulate a unified optimization problem to study both the welfare-maximizing and the revenue-maximizing objectives. We show that the aggregator may extract the full surplus by exploiting the correlation among the distributions. We also illustrate, through a numerical example, the case where full surplus extraction is not achievable.
{"title":"Buying random yet correlated wind power","authors":"Wenyuan Tang, R. Jain","doi":"10.1109/SmartGridComm.2014.7007637","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2014.7007637","url":null,"abstract":"We consider an auction design problem, where an aggregator procures wind power from multiple wind farms. While the realized generation of each wind farm is random, the probability distribution can be learned beforehand as its private information. Since the wind farms are geographically close, the distributions are possibly correlated. We formulate a unified optimization problem to study both the welfare-maximizing and the revenue-maximizing objectives. We show that the aggregator may extract the full surplus by exploiting the correlation among the distributions. We also illustrate, through a numerical example, the case where full surplus extraction is not achievable.","PeriodicalId":6499,"journal":{"name":"2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"8 1","pages":"145-150"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90846822","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 : 2014-11-01DOI: 10.1109/SmartGridComm.2014.7007634
B. O. Akyurek, A. S. Akyurek, J. Kleissl, T. Simunic
With the increasing penetration of renewable energy resources within the Smart Grid, solar forecasting has become an important problem for hour-ahead and day-ahead planning. Within this work, we analyze the Analog Forecast method family, which uses past observations to improve the forecast product. We first show that the frequently used euclidean distance metric has drawbacks and leads to poor performance relatively. In this paper, we introduce a new method, TESLA forecasting, which is very fast and light, and we show through case studies that we can beat the persistence method, a state of the art comparison method, by up-to 50% in terms of root mean square error to give an accurate forecasting result. An extension is also provided to improve the forecast accuracy by decreasing the forecast horizon.
{"title":"TESLA: Taylor expanded solar analog forecasting","authors":"B. O. Akyurek, A. S. Akyurek, J. Kleissl, T. Simunic","doi":"10.1109/SmartGridComm.2014.7007634","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2014.7007634","url":null,"abstract":"With the increasing penetration of renewable energy resources within the Smart Grid, solar forecasting has become an important problem for hour-ahead and day-ahead planning. Within this work, we analyze the Analog Forecast method family, which uses past observations to improve the forecast product. We first show that the frequently used euclidean distance metric has drawbacks and leads to poor performance relatively. In this paper, we introduce a new method, TESLA forecasting, which is very fast and light, and we show through case studies that we can beat the persistence method, a state of the art comparison method, by up-to 50% in terms of root mean square error to give an accurate forecasting result. An extension is also provided to improve the forecast accuracy by decreasing the forecast horizon.","PeriodicalId":6499,"journal":{"name":"2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"40 1","pages":"127-132"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79964916","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 : 2014-11-01DOI: 10.1109/SmartGridComm.2014.7007777
T. Shawly, Jun Liu, N. Burow, S. Bagchi, R. Berthier, R. Bobba
The growing reliance on Cyber technology for Smart Grid and other Cyber-Physical Systems (CPS) applications increases high assurance challenges. Advanced Metering Infrastructure (AMI) is a critical part of smart grid and failure to address security risks in it might disrupt utilities in their mission to deliver power reliably. The objective of this paper is to find mitigation actions for attacks that might be launched against AMI. The paper introduces a tool called SecAMI that calculates the relationship between the speed at which an attack spreads, the speed at which it can be detected, and the consequences on the availability of the AMI. The results from SecAMI can be used as a performance metric to significantly improve the development and the deployment of Intrusion Detection Systems (IDSs) in an AMI environment. Experimental results with an IDS called Amilyzer show that centralized IDS might not work efficiently in scalable systems comparing with distributed IDS in term of detection time, especially with a Distributed Denial of Service (DDoS) attack or remote disconnects on the AMI.
{"title":"A risk assessment tool for advanced metering infrastructures","authors":"T. Shawly, Jun Liu, N. Burow, S. Bagchi, R. Berthier, R. Bobba","doi":"10.1109/SmartGridComm.2014.7007777","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2014.7007777","url":null,"abstract":"The growing reliance on Cyber technology for Smart Grid and other Cyber-Physical Systems (CPS) applications increases high assurance challenges. Advanced Metering Infrastructure (AMI) is a critical part of smart grid and failure to address security risks in it might disrupt utilities in their mission to deliver power reliably. The objective of this paper is to find mitigation actions for attacks that might be launched against AMI. The paper introduces a tool called SecAMI that calculates the relationship between the speed at which an attack spreads, the speed at which it can be detected, and the consequences on the availability of the AMI. The results from SecAMI can be used as a performance metric to significantly improve the development and the deployment of Intrusion Detection Systems (IDSs) in an AMI environment. Experimental results with an IDS called Amilyzer show that centralized IDS might not work efficiently in scalable systems comparing with distributed IDS in term of detection time, especially with a Distributed Denial of Service (DDoS) attack or remote disconnects on the AMI.","PeriodicalId":6499,"journal":{"name":"2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"38 1","pages":"989-994"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88499971","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 : 2014-11-01DOI: 10.1109/SmartGridComm.2014.7007659
J. Monteiro, J. Eduardo, P. Cardoso, J. Semião
Several protocols have recently been defined for smart grids that enable the communication between electric devices and energy management systems. While these protocols and architectures can already be applied in different fields of micro grids, it is still not clear how the distributed resources and constraints of such electrical grids can be managed in an optimum way. In order to achieve a reduction in electricity costs and maximizing investments made in renewable sources, an optimization mechanism should be used to perform load scheduling, considering different variables such as forecasted power generation curve from renewable sources, different tariffs' rates, electric circuit constraints, user restrictions and correspondent comfort levels. Given these considerations, this work defines and evaluates a distributed micro grid resource management architecture and protocol which is able to optimize load scheduling while considering all the mentioned restrictions and parameters. The proposed architecture was implemented on a multi-agent simulator and the performed tests show that significant reductions in electricity cost can be achieved using this methodology.
{"title":"A distributed load scheduling mechanism for micro grids","authors":"J. Monteiro, J. Eduardo, P. Cardoso, J. Semião","doi":"10.1109/SmartGridComm.2014.7007659","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2014.7007659","url":null,"abstract":"Several protocols have recently been defined for smart grids that enable the communication between electric devices and energy management systems. While these protocols and architectures can already be applied in different fields of micro grids, it is still not clear how the distributed resources and constraints of such electrical grids can be managed in an optimum way. In order to achieve a reduction in electricity costs and maximizing investments made in renewable sources, an optimization mechanism should be used to perform load scheduling, considering different variables such as forecasted power generation curve from renewable sources, different tariffs' rates, electric circuit constraints, user restrictions and correspondent comfort levels. Given these considerations, this work defines and evaluates a distributed micro grid resource management architecture and protocol which is able to optimize load scheduling while considering all the mentioned restrictions and parameters. The proposed architecture was implemented on a multi-agent simulator and the performed tests show that significant reductions in electricity cost can be achieved using this methodology.","PeriodicalId":6499,"journal":{"name":"2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"11 1","pages":"278-283"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87222049","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 : 2014-11-01DOI: 10.1109/SmartGridComm.2014.7007678
K. Katsaros, Binxu Yang, W. Chai, G. Pavlou
With the introduction of new power sources, such as distributed renewable energy resources, and loads, such as electric vehicles, electrical distribution networks must accommodate new energy flow patterns in a considerably dynamic environment. This leads to the need for increasing the observability of the grid to enable a series of mission-critical applications such as voltage/congestion control and fault detection/location. The deployment of Phasor Measurement Units appears to be a promising approach, offering high precision grid monitoring. However, while the low delay requirements of such applications raise a significant challenge to the communication infrastructure, there is currently no clear vision on the exact communication technologies and network topologies that could support these requirements. In this paper, we address this challenge by taking a systematic approach on the design of low latency communication infrastructures. Based on a large set of real medium voltage grid topologies from a European distribution network, we first perform a detailed analysis of the communication requirements. Guided by this analysis, we then propose two algorithms, PLeC and BW-PLeC algorithms, for the design of low latency communication infrastructures that enhance the currently available power-line communication technology with newer high-speed communication links at strategic points in the grid to satisfy the delay requirements while reducing deployment costs.
{"title":"Low latency communication infrastructure for synchrophasor applications in distribution networks","authors":"K. Katsaros, Binxu Yang, W. Chai, G. Pavlou","doi":"10.1109/SmartGridComm.2014.7007678","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2014.7007678","url":null,"abstract":"With the introduction of new power sources, such as distributed renewable energy resources, and loads, such as electric vehicles, electrical distribution networks must accommodate new energy flow patterns in a considerably dynamic environment. This leads to the need for increasing the observability of the grid to enable a series of mission-critical applications such as voltage/congestion control and fault detection/location. The deployment of Phasor Measurement Units appears to be a promising approach, offering high precision grid monitoring. However, while the low delay requirements of such applications raise a significant challenge to the communication infrastructure, there is currently no clear vision on the exact communication technologies and network topologies that could support these requirements. In this paper, we address this challenge by taking a systematic approach on the design of low latency communication infrastructures. Based on a large set of real medium voltage grid topologies from a European distribution network, we first perform a detailed analysis of the communication requirements. Guided by this analysis, we then propose two algorithms, PLeC and BW-PLeC algorithms, for the design of low latency communication infrastructures that enhance the currently available power-line communication technology with newer high-speed communication links at strategic points in the grid to satisfy the delay requirements while reducing deployment costs.","PeriodicalId":6499,"journal":{"name":"2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"184 1","pages":"392-397"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85672366","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 : 2014-11-01DOI: 10.1109/SMARTGRIDCOMM.2014.7007716
Omid Ardakanian, C. Rosenberg, S. Keshav
Significant cost reduction in recent years has made solar power an economically competitive power source in many regions today. In view of this, and the widespread introduction of electric vehicles (EVs) to the mass market, we study public EV charging stations with on-site solar generation that are backed up by conventional power from the grid. Since the carbon footprint of conventional power is higher than solar power, charging deadlines can critically affect the total solar energy available to charging stations and therefore the overall carbon footprint of the charging service. In this paper, we propose a method to quantify how much carbon footprint can be reduced as a function of the charging deadline by describing a performance-guaranteed fair power allocation algorithm in a public charging station. This enables us to study the three-way tradeoff between the charging deadline, the utility of EV owners, and the carbon footprint of EV charging. We find that our algorithm makes nearly optimal use of available green energy, while still guaranteeing that solar charging performs no worse than grid charging.
{"title":"Quantifying the benefits of extending electric vehicle charging deadlines with solar generation","authors":"Omid Ardakanian, C. Rosenberg, S. Keshav","doi":"10.1109/SMARTGRIDCOMM.2014.7007716","DOIUrl":"https://doi.org/10.1109/SMARTGRIDCOMM.2014.7007716","url":null,"abstract":"Significant cost reduction in recent years has made solar power an economically competitive power source in many regions today. In view of this, and the widespread introduction of electric vehicles (EVs) to the mass market, we study public EV charging stations with on-site solar generation that are backed up by conventional power from the grid. Since the carbon footprint of conventional power is higher than solar power, charging deadlines can critically affect the total solar energy available to charging stations and therefore the overall carbon footprint of the charging service. In this paper, we propose a method to quantify how much carbon footprint can be reduced as a function of the charging deadline by describing a performance-guaranteed fair power allocation algorithm in a public charging station. This enables us to study the three-way tradeoff between the charging deadline, the utility of EV owners, and the carbon footprint of EV charging. We find that our algorithm makes nearly optimal use of available green energy, while still guaranteeing that solar charging performs no worse than grid charging.","PeriodicalId":6499,"journal":{"name":"2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"16 1","pages":"620-625"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81658436","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 : 2014-11-01DOI: 10.1109/SmartGridComm.2014.7007652
Mingyi Hong, Hao Zhu
In this paper, we consider the power efficient operation of a wireless Heterogeneous Network (HetNet). Reducing the energy consumption is crucial for a successful HetNet deployment, as the increasing number of distributed base stations (BSs) leads to significant economical and environmental concerns. For traditional wireless networks, power efficiency is achieved by designing the transmit strategies in a way that minimal amount of transmit power is achieved within the BS. However, the rapid penetration of renewable energy sources as well as the recent trend of powering the HetNet using smart grids require a fresh look at the well-studied problem. Meanwhile, increasing demand for powering wireless networks also introduces additional operational concerns for the power grid. In this paper, we show how to jointly model these two systems for power efficient operation. We formulate the problem as one that jointly minimizes the power loss of the distribution network as well as the total transmit power in the HetNet. We also show that the resulting problem can be implemented in a distributed manner when the network is divided into multiple zones. Numerical results corroborate several advantageous features of the proposed joint design as compared with the existing HetNet operation method.
{"title":"Power-efficient operation of wireless heterogeneous networks using Smart Grids","authors":"Mingyi Hong, Hao Zhu","doi":"10.1109/SmartGridComm.2014.7007652","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2014.7007652","url":null,"abstract":"In this paper, we consider the power efficient operation of a wireless Heterogeneous Network (HetNet). Reducing the energy consumption is crucial for a successful HetNet deployment, as the increasing number of distributed base stations (BSs) leads to significant economical and environmental concerns. For traditional wireless networks, power efficiency is achieved by designing the transmit strategies in a way that minimal amount of transmit power is achieved within the BS. However, the rapid penetration of renewable energy sources as well as the recent trend of powering the HetNet using smart grids require a fresh look at the well-studied problem. Meanwhile, increasing demand for powering wireless networks also introduces additional operational concerns for the power grid. In this paper, we show how to jointly model these two systems for power efficient operation. We formulate the problem as one that jointly minimizes the power loss of the distribution network as well as the total transmit power in the HetNet. We also show that the resulting problem can be implemented in a distributed manner when the network is divided into multiple zones. Numerical results corroborate several advantageous features of the proposed joint design as compared with the existing HetNet operation method.","PeriodicalId":6499,"journal":{"name":"2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"16 1","pages":"236-241"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88037935","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 : 2014-11-01DOI: 10.1109/SmartGridComm.2014.7007760
Sangjoon Jung, David Formby, Carson Day, R. Beyah
The purpose of network traffic characterization is to explore unknown patterns in different types of network communications to help improve many aspects of the network. While many previous studies have explored the characterization of many different networks (e.g., university networks), the power grid network (and other SCADA networks) characterization has not yet been studied. In this paper, we provide a characterization of the power grid network to answer questions like the following: i) how stable is the communication based on configurations?; ii) are there different observable traffic patterns in different vendor equipment?; iii) are there trends in the network traffic?; iv) can information be gathered from the traffic characterization to help secure the power grid network? To address these questions, we have collected power grid network traffic in a live substation for two months and conducted an empirical study to identify network traffic behaviors in the live substation. Our empirical study shows different behaviors between the devices and vendors when they communicate with each other.
{"title":"A first look at machine-to-machine power grid network traffic","authors":"Sangjoon Jung, David Formby, Carson Day, R. Beyah","doi":"10.1109/SmartGridComm.2014.7007760","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2014.7007760","url":null,"abstract":"The purpose of network traffic characterization is to explore unknown patterns in different types of network communications to help improve many aspects of the network. While many previous studies have explored the characterization of many different networks (e.g., university networks), the power grid network (and other SCADA networks) characterization has not yet been studied. In this paper, we provide a characterization of the power grid network to answer questions like the following: i) how stable is the communication based on configurations?; ii) are there different observable traffic patterns in different vendor equipment?; iii) are there trends in the network traffic?; iv) can information be gathered from the traffic characterization to help secure the power grid network? To address these questions, we have collected power grid network traffic in a live substation for two months and conducted an empirical study to identify network traffic behaviors in the live substation. Our empirical study shows different behaviors between the devices and vendors when they communicate with each other.","PeriodicalId":6499,"journal":{"name":"2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"53 1","pages":"884-889"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86582348","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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