Pub Date : 2013-12-19DOI: 10.1109/SmartGridComm.2013.6687924
R. Rojas-Cessa, Yifei Xu, H. Grebel
The present electrical grid uses two properties for the distribution of electrical power: perpetually energized and with discretionary access to power amounts. These two properties, although functional and practical, expose the grid to overload and consumption forecasting uncertainty. In addition, the distribution of electricity may be difficult to manage; sudden demand surge or supply shortage may ultimately lead to failures. To overcome this, we adopt a recently proposed approach whereby electricity is delivered in discrete amounts, through what is named here as a controlled-delivery power grid. In this grid, the customer's addresses are embedded in the electrical signal, and smart loads are used to limit the supplied electrical power. These smart loads not only control the consumed amount of power but also provide reactive stability to the distribution loop. We discuss an architecture of the controlled-delivery power grid and analyze a management scheme for the distribution of power, where the capacity of the distribution loop is capped to the average of the requested power, adopting a round-robin schedule of power deliverance. We show that the efficiency of power distribution satisfies over 98% of the power requests in such scenarios of energy scarcity.
{"title":"Management of a smart grid with controlled-delivery of discrete power levels","authors":"R. Rojas-Cessa, Yifei Xu, H. Grebel","doi":"10.1109/SmartGridComm.2013.6687924","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6687924","url":null,"abstract":"The present electrical grid uses two properties for the distribution of electrical power: perpetually energized and with discretionary access to power amounts. These two properties, although functional and practical, expose the grid to overload and consumption forecasting uncertainty. In addition, the distribution of electricity may be difficult to manage; sudden demand surge or supply shortage may ultimately lead to failures. To overcome this, we adopt a recently proposed approach whereby electricity is delivered in discrete amounts, through what is named here as a controlled-delivery power grid. In this grid, the customer's addresses are embedded in the electrical signal, and smart loads are used to limit the supplied electrical power. These smart loads not only control the consumed amount of power but also provide reactive stability to the distribution loop. We discuss an architecture of the controlled-delivery power grid and analyze a management scheme for the distribution of power, where the capacity of the distribution loop is capped to the average of the requested power, adopting a round-robin schedule of power deliverance. We show that the efficiency of power distribution satisfies over 98% of the power requests in such scenarios of energy scarcity.","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":"115789183","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.2013.6688023
Chong Shum, W. Lau, K. L. Lam, Yuxuan He, H. Chung, N. Tse, K. Tsang, L. Lai
A reliable and adequate communication network is crucial for smart grid applications. It is important to evaluate the performance of network infrastructure with respect to the diverse requirements imposed by various smart grid applications to ensure system reliability. Due to the complex dynamics involving communication and electrical systems, analytical study on smart grid faces challenges. As a result, comprehensive simulation platforms are needed for the study of interdependency between the heterogeneous systems. In this paper, we discuss the design of our smart grid co-simulation platform which combines power system simulator PSCAD/EMTDC with network simulator OPNET. In addition, we report a case study on Vehicle-to-Grid (V2G) voltage support application with respect to WiMAX / WiFi vehicle-to-infrastructure scenarios.
{"title":"The development of a smart grid co-simulation platform and case study on Vehicle-to-Grid voltage support application","authors":"Chong Shum, W. Lau, K. L. Lam, Yuxuan He, H. Chung, N. Tse, K. Tsang, L. Lai","doi":"10.1109/SmartGridComm.2013.6688023","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6688023","url":null,"abstract":"A reliable and adequate communication network is crucial for smart grid applications. It is important to evaluate the performance of network infrastructure with respect to the diverse requirements imposed by various smart grid applications to ensure system reliability. Due to the complex dynamics involving communication and electrical systems, analytical study on smart grid faces challenges. As a result, comprehensive simulation platforms are needed for the study of interdependency between the heterogeneous systems. In this paper, we discuss the design of our smart grid co-simulation platform which combines power system simulator PSCAD/EMTDC with network simulator OPNET. In addition, we report a case study on Vehicle-to-Grid (V2G) voltage support application with respect to WiMAX / WiFi vehicle-to-infrastructure 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":"114989940","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.2013.6687926
Sun Sun, Min Dong, B. Liang
Electric vehicles (EVs) are promising alternatives to provide ancillary services in future smart energy systems. In this paper, we consider an aggregator-EVs system providing regulation service to a power grid. To allocate regulation amount among EVs, we present both synchronous and asynchronous distributed algorithms, which align each EV's interest with the system's benefit. Compared with previous works, our algorithms accommodate a more realistic model of the aggregator-EVs system, in which EV battery degradation cost, EV charging/discharging inefficiency, EV energy gain/loss, the cost of external energy sources, and potential asynchronous communication between the aggregator and each EV are taken into account.We give sufficient conditions under which the proposed algorithms generate the optimal regulation amounts. Simulations are shown to validate our theoretical results.
{"title":"Distributed regulation allocation with aggregator coordinated electric vehicles","authors":"Sun Sun, Min Dong, B. Liang","doi":"10.1109/SmartGridComm.2013.6687926","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6687926","url":null,"abstract":"Electric vehicles (EVs) are promising alternatives to provide ancillary services in future smart energy systems. In this paper, we consider an aggregator-EVs system providing regulation service to a power grid. To allocate regulation amount among EVs, we present both synchronous and asynchronous distributed algorithms, which align each EV's interest with the system's benefit. Compared with previous works, our algorithms accommodate a more realistic model of the aggregator-EVs system, in which EV battery degradation cost, EV charging/discharging inefficiency, EV energy gain/loss, the cost of external energy sources, and potential asynchronous communication between the aggregator and each EV are taken into account.We give sufficient conditions under which the proposed algorithms generate the optimal regulation amounts. Simulations are shown to validate our theoretical results.","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":"130217655","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.2013.6688005
Muhammad Salman Malik, R. Berthier, R. Bobba, R. Campbell, W. Sanders
Vulnerabilities in key communication protocols that drive the daily operations of the power grid may lead to exploits that could potentially disrupt its safety-critical operation and may result in loss of power, consequent financial losses, and disruption of crucial power-dependent services. This paper focuses on the Inter Control Center Communications Protocol, (ICCP), which is the protocol used among control centers for data exchange and control. We discuss use of UPPAAL in formal modeling of portions of ICCP. Specifically, we present an iterative process and framework for the design and formal verification of tailored checking mechanisms that protect resource-exhaustion vulnerabilities in the protocol standard from attacks and exploits. We discuss insights we gained and lessons we learned when modeling the protocol functionalities and running the UPPAAL model checker to prove critical security and safety properties, and we discuss the overall success of this approach.
{"title":"Formal design of communication checkers for ICCP using UPPAAL","authors":"Muhammad Salman Malik, R. Berthier, R. Bobba, R. Campbell, W. Sanders","doi":"10.1109/SmartGridComm.2013.6688005","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6688005","url":null,"abstract":"Vulnerabilities in key communication protocols that drive the daily operations of the power grid may lead to exploits that could potentially disrupt its safety-critical operation and may result in loss of power, consequent financial losses, and disruption of crucial power-dependent services. This paper focuses on the Inter Control Center Communications Protocol, (ICCP), which is the protocol used among control centers for data exchange and control. We discuss use of UPPAAL in formal modeling of portions of ICCP. Specifically, we present an iterative process and framework for the design and formal verification of tailored checking mechanisms that protect resource-exhaustion vulnerabilities in the protocol standard from attacks and exploits. We discuss insights we gained and lessons we learned when modeling the protocol functionalities and running the UPPAAL model checker to prove critical security and safety properties, and we discuss the overall success of this approach.","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":"125599006","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.2013.6687951
Shivaram Subramanian, Soumyadip Ghosh, J. Hosking, R. Natarajan, Xiaoxuan Zhang
We present a day-ahead price-optimization based approach for an electric utility to proactively manage the intra-day residential electricity load profile, using dynamic-pricing incentives within a smart grid framework. A novel aspect of our approach is the ability to predict the customer response to price incentives that are designed to induce shifts in the electricity usage from the peak to the off-peak time periods of the daily residential load cycle. A Multinomial Logit (MNL) consumer-choice model is used for estimating the magnitudes of these intra-day hourly loads. The resulting nonlinear optimization problem for the specified profit and capacity-utilization objectives is solved using a series of transformations, which include the reformulation-linearization technique (RLT), to obtain a Mixed-Integer Programming (MIP) model. Using a piecewise-linear cost structure for satisfying electricity demand, we subsequently derive a set of valid inequalities to effectively tighten the underlying relaxation of this MIP. The proposed optimization methodology can also incorporate various regulatory and customer bill-protection constraints. Our model calibration and computational analysis using a real-world data set indicates that the proposed predictive-control methodology can be incorporated into a practical decision support tool to manage the time-of-day electricity demand in order to achieve the desired objectives.
{"title":"Dynamic price optimization models for managing time-of-day electricity usage","authors":"Shivaram Subramanian, Soumyadip Ghosh, J. Hosking, R. Natarajan, Xiaoxuan Zhang","doi":"10.1109/SmartGridComm.2013.6687951","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6687951","url":null,"abstract":"We present a day-ahead price-optimization based approach for an electric utility to proactively manage the intra-day residential electricity load profile, using dynamic-pricing incentives within a smart grid framework. A novel aspect of our approach is the ability to predict the customer response to price incentives that are designed to induce shifts in the electricity usage from the peak to the off-peak time periods of the daily residential load cycle. A Multinomial Logit (MNL) consumer-choice model is used for estimating the magnitudes of these intra-day hourly loads. The resulting nonlinear optimization problem for the specified profit and capacity-utilization objectives is solved using a series of transformations, which include the reformulation-linearization technique (RLT), to obtain a Mixed-Integer Programming (MIP) model. Using a piecewise-linear cost structure for satisfying electricity demand, we subsequently derive a set of valid inequalities to effectively tighten the underlying relaxation of this MIP. The proposed optimization methodology can also incorporate various regulatory and customer bill-protection constraints. Our model calibration and computational analysis using a real-world data set indicates that the proposed predictive-control methodology can be incorporated into a practical decision support tool to manage the time-of-day electricity demand in order to achieve the desired objectives.","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":"122624283","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.2013.6688029
A. Ito, Toru Shiraki
Micro grid technology has been attracting attention as a realization of local electricity production for local consumption. In a micro grid system, management of supply and demand is one of the most important issues because variability of renewable energies such as photovoltaic and wind power generations will cause a supply-demand imbalance. Management of supply and demand in direct current (DC) power networks is supposed to be more difficult in comparison with conventional methods for alternate current (AC) power networks. The reason why is that a delay in the conversion of DC to DC and AC to DC causes unintended power down in DC power networks without huge power supply such as grid power in AC power networks. In this paper, we propose an energy management method for DC power networks. A control system which realizes the proposed energy management consists of a two-layered structure. The first layer is a scheduling part which is responsible for deciding the long-period system behavior to reduce energy bills. The second layer is a supply-demand adjustment part which is responsible for maintaining instantaneous supply-demand balances for DC-driven devices. The effectiveness of the proposed method has been proven with some experiments using real equipment.
{"title":"Optimal energy storage management in DC power networks","authors":"A. Ito, Toru Shiraki","doi":"10.1109/SmartGridComm.2013.6688029","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6688029","url":null,"abstract":"Micro grid technology has been attracting attention as a realization of local electricity production for local consumption. In a micro grid system, management of supply and demand is one of the most important issues because variability of renewable energies such as photovoltaic and wind power generations will cause a supply-demand imbalance. Management of supply and demand in direct current (DC) power networks is supposed to be more difficult in comparison with conventional methods for alternate current (AC) power networks. The reason why is that a delay in the conversion of DC to DC and AC to DC causes unintended power down in DC power networks without huge power supply such as grid power in AC power networks. In this paper, we propose an energy management method for DC power networks. A control system which realizes the proposed energy management consists of a two-layered structure. The first layer is a scheduling part which is responsible for deciding the long-period system behavior to reduce energy bills. The second layer is a supply-demand adjustment part which is responsible for maintaining instantaneous supply-demand balances for DC-driven devices. The effectiveness of the proposed method has been proven with some experiments using real equipment.","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":"126567913","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.2013.6688018
Hamed Mohsenian Rad, A. Davoudi
Direct current (DC) power systems have recently been proposed as a promising technology for distribution networks and microgrids. By eliminating unnecessary conversion stages, DC distribution systems can enable seamless integration of natively DC devices such as photovoltaic cells and batteries. Moreover, using DC technologies can overcome several disadvantages of alternating current (AC) distribution systems, such as synchronization requirements, reactive power compensation, and harmonics. Therefore, in this paper, we take the first steps towards designing demand response programs for DC distribution networks. We seek to adjust the internal parameters of various power electronics loads to assure reliable and efficient operation of the DC distribution system. In this regard, we first present an optimization-based foundation for demand response in DC distribution networks. Then, we devise a pricing mechanism to enforce optimal demand response in a distributed fashion. Simulation results are presented to assess the performance and to gain insights into the proposed demand-response paradigm.
{"title":"Optimal demand response in DC distribution networks","authors":"Hamed Mohsenian Rad, A. Davoudi","doi":"10.1109/SmartGridComm.2013.6688018","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6688018","url":null,"abstract":"Direct current (DC) power systems have recently been proposed as a promising technology for distribution networks and microgrids. By eliminating unnecessary conversion stages, DC distribution systems can enable seamless integration of natively DC devices such as photovoltaic cells and batteries. Moreover, using DC technologies can overcome several disadvantages of alternating current (AC) distribution systems, such as synchronization requirements, reactive power compensation, and harmonics. Therefore, in this paper, we take the first steps towards designing demand response programs for DC distribution networks. We seek to adjust the internal parameters of various power electronics loads to assure reliable and efficient operation of the DC distribution system. In this regard, we first present an optimization-based foundation for demand response in DC distribution networks. Then, we devise a pricing mechanism to enforce optimal demand response in a distributed fashion. Simulation results are presented to assess the performance and to gain insights into the proposed demand-response paradigm.","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":"129041433","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.2013.6687974
Daniel Germanus, Abdelmajid Khelil, Johannes Schwandke, N. Suri
Data collection is a key ingredient for a plethora of distributed systems. Strict responsiveness, i.e., the reliable and timely data delivery is a mandatory requirement for critical applications. For a widened application focus towards large scale critical applications in heterogeneous operational environments, data dissemination infrastructures are inevitably required to provide robustness against frequent perturbations. In this work, we present Coral, a highly reliable and low latency data collection peer-to-peer protocol. Its fully decentralized design allows operation under unfavorable conditions and immediate adaptation towards such effects. Coral provides for a latency optimized and path redundant data collection along with in-network aggregation, i.e., convergecast, for applications with ultra low latency requirements that span across large geographic extents.
{"title":"Coral: Reliable and low-latency P2P convergecast for critical sensor data collection","authors":"Daniel Germanus, Abdelmajid Khelil, Johannes Schwandke, N. Suri","doi":"10.1109/SmartGridComm.2013.6687974","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6687974","url":null,"abstract":"Data collection is a key ingredient for a plethora of distributed systems. Strict responsiveness, i.e., the reliable and timely data delivery is a mandatory requirement for critical applications. For a widened application focus towards large scale critical applications in heterogeneous operational environments, data dissemination infrastructures are inevitably required to provide robustness against frequent perturbations. In this work, we present Coral, a highly reliable and low latency data collection peer-to-peer protocol. Its fully decentralized design allows operation under unfavorable conditions and immediate adaptation towards such effects. Coral provides for a latency optimized and path redundant data collection along with in-network aggregation, i.e., convergecast, for applications with ultra low latency requirements that span across large geographic extents.","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":"131131568","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.2013.6687936
Wei Wang, Li He, P. Markham, H. Qi, Yilu Liu
Security of large power systems is primarily focused on transient and dynamic stability, and intentional attacks generally fall within only a few types of influence upon the grid. Many of the scenarios manifest as equipment failures caused by physical damage, interruption of communication networks, and/or mis-feeding of information. Conventional power systems are designed to be robust to accidental failures. Nevertheless, under the post 9/11 environment, coordinated multiple strikes become a realistic threat. Therefore, an online system for multiple attacks detection, recognition, and localization is essential for providing accurate information to control and actuation. In this paper, we propose a novel conceptual framework, referred to as “event unmixing”, for the online analysis of multiple attacks, where we interpret the disturbance caused by multiple attacks as a linear mixture of more than one constituent root faults. By incorporating temporal stamps into the construction of an overcomplete dictionary, consisting of patterns of different root faults, we are able to detect, recognize and identify the starting time of each fault based on the concept of “event unmixing”. This is followed by the fault localization process by utilizing the starting time of each individual fault detected at different sensors based on the triangulation method. The proposed framework has been evaluated using both PSS/E simulated data and real data collected from the frequency disturbance recorders (FDRs) of the Frequency Monitoring Network (FNET). The experimental results demonstrate the effectiveness of the proposed framework for analysis of multiple attacks.
{"title":"Detection, recognition, and localization of multiple attacks through event unmixing","authors":"Wei Wang, Li He, P. Markham, H. Qi, Yilu Liu","doi":"10.1109/SmartGridComm.2013.6687936","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6687936","url":null,"abstract":"Security of large power systems is primarily focused on transient and dynamic stability, and intentional attacks generally fall within only a few types of influence upon the grid. Many of the scenarios manifest as equipment failures caused by physical damage, interruption of communication networks, and/or mis-feeding of information. Conventional power systems are designed to be robust to accidental failures. Nevertheless, under the post 9/11 environment, coordinated multiple strikes become a realistic threat. Therefore, an online system for multiple attacks detection, recognition, and localization is essential for providing accurate information to control and actuation. In this paper, we propose a novel conceptual framework, referred to as “event unmixing”, for the online analysis of multiple attacks, where we interpret the disturbance caused by multiple attacks as a linear mixture of more than one constituent root faults. By incorporating temporal stamps into the construction of an overcomplete dictionary, consisting of patterns of different root faults, we are able to detect, recognize and identify the starting time of each fault based on the concept of “event unmixing”. This is followed by the fault localization process by utilizing the starting time of each individual fault detected at different sensors based on the triangulation method. The proposed framework has been evaluated using both PSS/E simulated data and real data collected from the frequency disturbance recorders (FDRs) of the Frequency Monitoring Network (FNET). The experimental results demonstrate the effectiveness of the proposed framework for analysis of multiple attacks.","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":"127654454","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.2013.6687996
O. Vukovic, G. Dán, R. Bobba
Power system operators are looking to adopt and migrate to cloud technologies and third-party cloud services for customer facing and enterprise IT applications. Security and reliability are major barriers for adopting cloud technologies and services for power system operational applications. In this work we focus on the use of cloud computing for Contingency Analysis and propose an approach to obfuscate information regarding power flows and the presence of a contingency violation while allowing the operator to analyze contingencies with the needed accuracy in the cloud. Our empirical evaluation shows, that the errors introduced into power flows due to the obfuscation approach are small, and that the RMS errors introduced grow linearly with the magnitude of obfuscation.
{"title":"Confidentiality-preserving obfuscation for cloud-based power system contingency analysis","authors":"O. Vukovic, G. Dán, R. Bobba","doi":"10.1109/SmartGridComm.2013.6687996","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6687996","url":null,"abstract":"Power system operators are looking to adopt and migrate to cloud technologies and third-party cloud services for customer facing and enterprise IT applications. Security and reliability are major barriers for adopting cloud technologies and services for power system operational applications. In this work we focus on the use of cloud computing for Contingency Analysis and propose an approach to obfuscate information regarding power flows and the presence of a contingency violation while allowing the operator to analyze contingencies with the needed accuracy in the cloud. Our empirical evaluation shows, that the errors introduced into power flows due to the obfuscation approach are small, and that the RMS errors introduced grow linearly with the magnitude of obfuscation.","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":"129097301","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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