Pub Date : 2013-12-19DOI: 10.1109/SmartGridComm.2013.6687961
Adedamola Adepetu, E. Rezaei, D. Lizotte, S. Keshav
Since 2006, with the progressive deployment of Advanced Metering Infrastructure, jurisdictions in the Canadian province of Ontario have been increasingly using Time-Of-Use (TOU) pricing with the objective of reducing the mean peak-to-average load ratio and thus excess generation capacity. We analyse the hourly aggregate load data to study whether the choice of TOU parameters (i.e., number of seasons, season start and end times, and choice of peak and off-peak times) adequately reflects the aggregate load, and to study whether TOU pricing has actually resulted in a decrease in the mean peak-to-average ratio. We find that since the introduction of TOU pricing, not only has the mean peak-to-average load ratio actually increased but also that the currently implemented TOU parameters are far from optimal. Based on our findings, we make concrete recommendations to improve the TOU pricing scheme in Ontario.
{"title":"Critiquing Time-of-Use pricing in Ontario","authors":"Adedamola Adepetu, E. Rezaei, D. Lizotte, S. Keshav","doi":"10.1109/SmartGridComm.2013.6687961","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6687961","url":null,"abstract":"Since 2006, with the progressive deployment of Advanced Metering Infrastructure, jurisdictions in the Canadian province of Ontario have been increasingly using Time-Of-Use (TOU) pricing with the objective of reducing the mean peak-to-average load ratio and thus excess generation capacity. We analyse the hourly aggregate load data to study whether the choice of TOU parameters (i.e., number of seasons, season start and end times, and choice of peak and off-peak times) adequately reflects the aggregate load, and to study whether TOU pricing has actually resulted in a decrease in the mean peak-to-average ratio. We find that since the introduction of TOU pricing, not only has the mean peak-to-average load ratio actually increased but also that the currently implemented TOU parameters are far from optimal. Based on our findings, we make concrete recommendations to improve the TOU pricing scheme in Ontario.","PeriodicalId":136434,"journal":{"name":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127810663","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 : 2013-12-19DOI: 10.1109/SmartGridComm.2013.6688049
Husheng Li, J. Song, Zhu Han
The design of control laws for a large dynamical system is challenging, particularly when it is difficult to obtain a system model. In this paper, the extreme case of no detailed knowledge about the system dynamics is studied. To find a control law, which can restore the equilibrium as quickly as possible upon small but significant perturbations, the stochastic approximation approach is used to learn the control law according to the history of system dynamics, in a blind manner. However, since significant perturbations to the system are usually rare, there lacks sufficient training samples of perturbation for the stochastic approximations. To alleviate the insufficiency of training samples, the Onsager's Regression is applied, which is an important principle in non-equilibrium statistical mechanics and asserts that the restoration to equilibrium upon perturbations in a large system can be approximated by the correlation function around the equilibrium state. Instead of learning from the perturbations, the control law is learned from the correlation functions in the equilibrium state, which provides much more samples. Numerical simulations on large power networks demonstrated the validity of the proposed scheme.
{"title":"Blind control synthesis for large dynamical systems with application in smart grids: A non-equilibrium statistical mechanics approach","authors":"Husheng Li, J. Song, Zhu Han","doi":"10.1109/SmartGridComm.2013.6688049","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6688049","url":null,"abstract":"The design of control laws for a large dynamical system is challenging, particularly when it is difficult to obtain a system model. In this paper, the extreme case of no detailed knowledge about the system dynamics is studied. To find a control law, which can restore the equilibrium as quickly as possible upon small but significant perturbations, the stochastic approximation approach is used to learn the control law according to the history of system dynamics, in a blind manner. However, since significant perturbations to the system are usually rare, there lacks sufficient training samples of perturbation for the stochastic approximations. To alleviate the insufficiency of training samples, the Onsager's Regression is applied, which is an important principle in non-equilibrium statistical mechanics and asserts that the restoration to equilibrium upon perturbations in a large system can be approximated by the correlation function around the equilibrium state. Instead of learning from the perturbations, the control law is learned from the correlation functions in the equilibrium state, which provides much more samples. Numerical simulations on large power networks demonstrated the validity of the proposed scheme.","PeriodicalId":136434,"journal":{"name":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128924842","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 : 2013-12-19DOI: 10.1109/SmartGridComm.2013.6688030
S. Sojoudi, Ramtin Madani, J. Lavaei
This paper is concerned with solving the nonconvex problem of optimal power flow (OPF) via a convex relaxation based on semidefinite programming (SDP). We have recently shown that the SDP relaxation has a rank-1 solution from which the global solution of OPF can be found, provided the power network has no cycle. The present paper aims to provide a better understating of the SDP relaxation for cyclic networks. To this end, an upper bound is derived on rank of the minimum-rank solution of the SDP relaxation, which depends only on the topology of the power network. This bound is expected to be very small in practice due to the mostly planar structure of real-world networks. A heuristic method is then proposed to enforce the low-rank solution of the SDP relaxation to become rank-1. To elucidate the efficacy of this technique, it is proved that this method works for weakly-cyclic networks with cycles of size 3. Although this paper mainly focuses on OPF, the results developed here can be applied to several OPF-based emerging optimizations for future electrical grids.
{"title":"Low-rank solution of convex relaxation for optimal power flow problem","authors":"S. Sojoudi, Ramtin Madani, J. Lavaei","doi":"10.1109/SmartGridComm.2013.6688030","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6688030","url":null,"abstract":"This paper is concerned with solving the nonconvex problem of optimal power flow (OPF) via a convex relaxation based on semidefinite programming (SDP). We have recently shown that the SDP relaxation has a rank-1 solution from which the global solution of OPF can be found, provided the power network has no cycle. The present paper aims to provide a better understating of the SDP relaxation for cyclic networks. To this end, an upper bound is derived on rank of the minimum-rank solution of the SDP relaxation, which depends only on the topology of the power network. This bound is expected to be very small in practice due to the mostly planar structure of real-world networks. A heuristic method is then proposed to enforce the low-rank solution of the SDP relaxation to become rank-1. To elucidate the efficacy of this technique, it is proved that this method works for weakly-cyclic networks with cycles of size 3. Although this paper mainly focuses on OPF, the results developed here can be applied to several OPF-based emerging optimizations for future electrical grids.","PeriodicalId":136434,"journal":{"name":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124556384","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 : 2013-12-19DOI: 10.1109/SmartGridComm.2013.6688046
Reduan H. Khan, T. Ustun, J. Khan
One of the widely used methods for protecting power system elements is the Line Current Differential Protection (LCDP) schemes that works by comparing the vector difference between the measured currents at two or more line-terminals. Communications network plays a vital role in such schemes since the local and the remote line-terminals must exchange their current elements to perform the differential calculation. This paper investigates the use of an IEEE 802.16/WiMAX based wide-area wireless communications network to support LCDP schemes in the smart microgrids. The possible use of the WiMAX network as a synchronization source to the differential relays is also proposed. Using theoretical capacity analysis, the paper examines the use of advanced WiMAX features such as persistent scheduling, robust header compression and grant synchronization to efficiently support such a scheme. In addition, simulations were conducted using an OPNET simulation model to analyze the communications performance of the scheme in terms of packet-loss and delay. The results indicate that a WiMAX network along with its advanced features is particularly well-suited to meet the challenging requirements of a differential protection scheme.
{"title":"Differential protection of microgrids over a WiMAX network","authors":"Reduan H. Khan, T. Ustun, J. Khan","doi":"10.1109/SmartGridComm.2013.6688046","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6688046","url":null,"abstract":"One of the widely used methods for protecting power system elements is the Line Current Differential Protection (LCDP) schemes that works by comparing the vector difference between the measured currents at two or more line-terminals. Communications network plays a vital role in such schemes since the local and the remote line-terminals must exchange their current elements to perform the differential calculation. This paper investigates the use of an IEEE 802.16/WiMAX based wide-area wireless communications network to support LCDP schemes in the smart microgrids. The possible use of the WiMAX network as a synchronization source to the differential relays is also proposed. Using theoretical capacity analysis, the paper examines the use of advanced WiMAX features such as persistent scheduling, robust header compression and grant synchronization to efficiently support such a scheme. In addition, simulations were conducted using an OPNET simulation model to analyze the communications performance of the scheme in terms of packet-loss and delay. The results indicate that a WiMAX network along with its advanced features is particularly well-suited to meet the challenging requirements of a differential protection scheme.","PeriodicalId":136434,"journal":{"name":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124583838","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 : 2013-12-19DOI: 10.1109/SmartGridComm.2013.6687998
Young-Jin Kim, V. Kolesnikov, M. Thottan
Aligned with the roll-out of plug-in Electric Vehicles (EV), a key area of research to enable high EV penetration is a secure and efficient charging system for EV batteries. In recent literature on EVs, reliable and cost-efficient grid operations under high EV penetrations assume the need of EV charging load control. In this scenario, EV charging (and discharging) must be adapted in real time to current grid constraints and sudden grid status changes. However, for realizing these load control functions, grids and EVs should trust each other before executing the operation. Whenever an EV is plugged into a grid for charging, it must be authenticated by the grid; otherwise, EVs and grids are open to security threats that could result in serious safety hazards and billing issues. In this paper, we first view the EV authentication problem as a mutual-authentication problem within a mobile and hostile machine-to-machine (M2M) communication setting. We describe a mutual authentication system tamper-resistant and scalable mutual authentication framework TSAF that can support large-scale grid-connected EV charging. The proposed TSAF is based on two key notions, authentication token (AT) for stateless1 authentications and key obfuscation block (KoB) for protecting authentication key information of client devices. Note that TSAF is the first proposal that addresses mobility, tamper-resistance, key exposure resilience, low complexity, and ease of management for plug-in EV charging.
{"title":"TSAF: Tamper-resistant and scalable mutual authentication framework for plug-in EV charging","authors":"Young-Jin Kim, V. Kolesnikov, M. Thottan","doi":"10.1109/SmartGridComm.2013.6687998","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6687998","url":null,"abstract":"Aligned with the roll-out of plug-in Electric Vehicles (EV), a key area of research to enable high EV penetration is a secure and efficient charging system for EV batteries. In recent literature on EVs, reliable and cost-efficient grid operations under high EV penetrations assume the need of EV charging load control. In this scenario, EV charging (and discharging) must be adapted in real time to current grid constraints and sudden grid status changes. However, for realizing these load control functions, grids and EVs should trust each other before executing the operation. Whenever an EV is plugged into a grid for charging, it must be authenticated by the grid; otherwise, EVs and grids are open to security threats that could result in serious safety hazards and billing issues. In this paper, we first view the EV authentication problem as a mutual-authentication problem within a mobile and hostile machine-to-machine (M2M) communication setting. We describe a mutual authentication system tamper-resistant and scalable mutual authentication framework TSAF that can support large-scale grid-connected EV charging. The proposed TSAF is based on two key notions, authentication token (AT) for stateless1 authentications and key obfuscation block (KoB) for protecting authentication key information of client devices. Note that TSAF is the first proposal that addresses mobility, tamper-resistance, key exposure resilience, low complexity, and ease of management for plug-in EV charging.","PeriodicalId":136434,"journal":{"name":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121344791","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 : 2013-12-19DOI: 10.1109/SmartGridComm.2013.6688021
S. Horsmanheimo, Niwas Maskey, H. Kokkoniemi-Tarkkanen, Pekka T. Savolainen, L. Tuomimäki
Traditionally, electricity distribution companies have used private communication networks to control medium-voltage network components such as substations, reclosers, disconnectors, and transformers. Proprietary technologies such as microwave links, narrow band VHF/UHF radios, and private mobile radios were often applied. Today, 3G and 2G cellular packet based networks can provide data connections almost anywhere with much lower costs. Those radio access technologies are proof-tested in mass markets, and their availability and reliability improve as the mobile technology evolves and the variety of mobile data services increases. Our goal was to implement a tool to assess the utilization of commercial mobile networks for the remote control of future electricity distribution networks. This is done by calculating coverage redundancy in different fault scenarios.
{"title":"A tool for assessing interdependency of mobile communication and electricity distribution networks","authors":"S. Horsmanheimo, Niwas Maskey, H. Kokkoniemi-Tarkkanen, Pekka T. Savolainen, L. Tuomimäki","doi":"10.1109/SmartGridComm.2013.6688021","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6688021","url":null,"abstract":"Traditionally, electricity distribution companies have used private communication networks to control medium-voltage network components such as substations, reclosers, disconnectors, and transformers. Proprietary technologies such as microwave links, narrow band VHF/UHF radios, and private mobile radios were often applied. Today, 3G and 2G cellular packet based networks can provide data connections almost anywhere with much lower costs. Those radio access technologies are proof-tested in mass markets, and their availability and reliability improve as the mobile technology evolves and the variety of mobile data services increases. Our goal was to implement a tool to assess the utilization of commercial mobile networks for the remote control of future electricity distribution networks. This is done by calculating coverage redundancy in different fault scenarios.","PeriodicalId":136434,"journal":{"name":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117107302","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 : 2013-12-19DOI: 10.1109/SmartGridComm.2013.6688019
F. Perkonigg, D. Brujic, M. Ristic
The smart grid has been the main focus of development in recent years. It is central to its idea to build a more decentralised system and make extensive use of digital communication. There is a definite trend among researchers and industry to build the smart grid on established communication technologies (e.g. DSL, GSM, GPRS, WiMAX, ZigBee; TPC/IP based) and multi-agent system applications are proposed to deal with the complexity and decentralisation of control and decision making. However, it is difficult to validate the new applications and communication networks prior to deployment. Especially time-critical applications for control and protection demand deep understanding and accurate modelling. This paper presents the design and implementation of a software platform, which is called MAC-Sim, that can co-simulate multi-agent applications and communication networks. We extended a multi-agent system framework and communication network simulator and combined them via a distributed simulation modelling architecture. The feasibility of this approach has been demonstrated by implementing and simulating an agent-based zone 3 remote backup relay supervision scheme and its communication infrastructure. This simulation platform can help to design, develop, and validate agent-based smart grid applications and communication networks.
{"title":"MAC-Sim: A multi-agent and communication network simulation platform for smart grid applications based on established technologies","authors":"F. Perkonigg, D. Brujic, M. Ristic","doi":"10.1109/SmartGridComm.2013.6688019","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6688019","url":null,"abstract":"The smart grid has been the main focus of development in recent years. It is central to its idea to build a more decentralised system and make extensive use of digital communication. There is a definite trend among researchers and industry to build the smart grid on established communication technologies (e.g. DSL, GSM, GPRS, WiMAX, ZigBee; TPC/IP based) and multi-agent system applications are proposed to deal with the complexity and decentralisation of control and decision making. However, it is difficult to validate the new applications and communication networks prior to deployment. Especially time-critical applications for control and protection demand deep understanding and accurate modelling. This paper presents the design and implementation of a software platform, which is called MAC-Sim, that can co-simulate multi-agent applications and communication networks. We extended a multi-agent system framework and communication network simulator and combined them via a distributed simulation modelling architecture. The feasibility of this approach has been demonstrated by implementing and simulating an agent-based zone 3 remote backup relay supervision scheme and its communication infrastructure. This simulation platform can help to design, develop, and validate agent-based smart grid applications and communication networks.","PeriodicalId":136434,"journal":{"name":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115387794","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 : 2013-12-19DOI: 10.1109/SmartGridComm.2013.6688014
Ching-Yen Chung, E. Youn, Joshua Chynoweth, Charlie Qiu, C. Chu, R. Gadh
As Electric Vehicles (EVs) increase, charging infrastructure becomes more important. When during the day there is a power shortage, the charging infrastructure should have the options to either shut off the power to the charging stations or to lower the power to the EVs in order to satisfy the needs of the grid. This paper proposes a design for a smart charging infrastructure capable of providing power to several EVs from one circuit by multiplexing power and providing charge control and safety systems to prevent electric shock. The safety design is implemented in different levels that include both the server and the smart charging stations. With this smart charging infrastructure, the shortage of energy in a local grid could be solved by our EV charging management system.
{"title":"Safety design for smart Electric Vehicle charging with current and multiplexing control","authors":"Ching-Yen Chung, E. Youn, Joshua Chynoweth, Charlie Qiu, C. Chu, R. Gadh","doi":"10.1109/SmartGridComm.2013.6688014","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6688014","url":null,"abstract":"As Electric Vehicles (EVs) increase, charging infrastructure becomes more important. When during the day there is a power shortage, the charging infrastructure should have the options to either shut off the power to the charging stations or to lower the power to the EVs in order to satisfy the needs of the grid. This paper proposes a design for a smart charging infrastructure capable of providing power to several EVs from one circuit by multiplexing power and providing charge control and safety systems to prevent electric shock. The safety design is implemented in different levels that include both the server and the smart charging stations. With this smart charging infrastructure, the shortage of energy in a local grid could be solved by our EV charging management system.","PeriodicalId":136434,"journal":{"name":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131951727","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 : 2013-12-19DOI: 10.1109/SmartGridComm.2013.6688053
Lanchao Liu, A. Khodaei, W. Yin, Zhu Han
This paper presents a mathematical optimization framework for security-constrained optimal power flow (SCOPF) computations. The SCOPF problem determines the optimal control of power systems under constraints arising from a set of postulated contingencies. This problem is challenging due to the significantly large problem size, the stringent real-time requirement and the variety of numerous post-contingency states. In order to solve the resultant big data scale optimization problem with manageable complexity, the alternating direction method of multipliers (ADMM) is utilized. The SCOPF is decomposed into independent subproblems correspond to each individual pre-contingency and post-contingency case. Those subproblems are solved in parallel on distributed nodes and coordinated through dual (prices) variables. As a result, the algorithm is implemented in a distributive and parallel fashion. Numerical tests validate the effectiveness of the proposed algorithm.
{"title":"A distribute parallel approach for big data scale optimal power flow with security constraints","authors":"Lanchao Liu, A. Khodaei, W. Yin, Zhu Han","doi":"10.1109/SmartGridComm.2013.6688053","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6688053","url":null,"abstract":"This paper presents a mathematical optimization framework for security-constrained optimal power flow (SCOPF) computations. The SCOPF problem determines the optimal control of power systems under constraints arising from a set of postulated contingencies. This problem is challenging due to the significantly large problem size, the stringent real-time requirement and the variety of numerous post-contingency states. In order to solve the resultant big data scale optimization problem with manageable complexity, the alternating direction method of multipliers (ADMM) is utilized. The SCOPF is decomposed into independent subproblems correspond to each individual pre-contingency and post-contingency case. Those subproblems are solved in parallel on distributed nodes and coordinated through dual (prices) variables. As a result, the algorithm is implemented in a distributive and parallel fashion. Numerical tests validate the effectiveness of the proposed algorithm.","PeriodicalId":136434,"journal":{"name":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130698889","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 : 2013-12-19DOI: 10.1109/SmartGridComm.2013.6688058
A. Mazloomzadeh, O. Mohammed, S. Zonouz
To protect large-scale power-grid critical infrastructures, efficient security and intrusion prevention techniques are required to prevent remote adversaries from attacking the computational and data resources. Traditionally, trusted computing base solutions, i.e., a small easy-to-verify software and/or hardware component, act as the trust root for the overall execution. In this paper, we present Trusted Sensing Base (TSB), a new data trust root solution for power grid infrastructures. In particular, TSB is attached to exact data acquisition points, where sensors obtain power measurements. TSB's main responsibility is to encrypt analog power current and voltage signals, and feed the sensors, such as phasor measurement units (PMUs), with encrypted signals. Therefore, the proposed TSB solution prevents remote adversarial parties from accessing or modifying the acquired data on a sensor without being detected even if they succeed in full system penetration and completely compromise of the sensor. We have implemented a complete hardware working prototype of TSB, and evaluated it on a real-world power grid testbed infrastructure. Our experimental results show that TSB significantly improves the power grid security with minimal deployment and performance overhead on the power grid operations.
{"title":"TSB: Trusted sensing base for the power grid","authors":"A. Mazloomzadeh, O. Mohammed, S. Zonouz","doi":"10.1109/SmartGridComm.2013.6688058","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6688058","url":null,"abstract":"To protect large-scale power-grid critical infrastructures, efficient security and intrusion prevention techniques are required to prevent remote adversaries from attacking the computational and data resources. Traditionally, trusted computing base solutions, i.e., a small easy-to-verify software and/or hardware component, act as the trust root for the overall execution. In this paper, we present Trusted Sensing Base (TSB), a new data trust root solution for power grid infrastructures. In particular, TSB is attached to exact data acquisition points, where sensors obtain power measurements. TSB's main responsibility is to encrypt analog power current and voltage signals, and feed the sensors, such as phasor measurement units (PMUs), with encrypted signals. Therefore, the proposed TSB solution prevents remote adversarial parties from accessing or modifying the acquired data on a sensor without being detected even if they succeed in full system penetration and completely compromise of the sensor. We have implemented a complete hardware working prototype of TSB, and evaluated it on a real-world power grid testbed infrastructure. Our experimental results show that TSB significantly improves the power grid security with minimal deployment and performance overhead on the power grid operations.","PeriodicalId":136434,"journal":{"name":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130927842","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：