Pub Date : 2020-01-01DOI: 10.1109/SmartGridComm47815.2020.9302961
D. Roy
{"title":"Household Level Electricity Load Forecasting Using Echo State Network","authors":"D. Roy","doi":"10.1109/SmartGridComm47815.2020.9302961","DOIUrl":"https://doi.org/10.1109/SmartGridComm47815.2020.9302961","url":null,"abstract":"","PeriodicalId":6499,"journal":{"name":"2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"13 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78803653","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 : 2014-11-06DOI: 10.1109/SmartGridComm.2014.7007769
Mustafa A. Mustafa, Ning Zhang, G. Kalogridis, Z. Fan
In this paper, we propose a secure roaming electric vehicle (EV) charging protocol that helps preserve users' privacy. During a charging session, a roaming EV user uses a pseudonym of the EV (known only to the user's contracted supplier) which is anonymously signed by the user's private key. This protocol protects the user's identity privacy from other suppliers as well as the user's privacy of location from its own supplier. Further, it allows the user's contracted supplier to authenticate the EV and the user. Using two-factor authentication approach a multiuser EV charging is supported and different legitimate EV users (e.g. family members) can be held accountable for their charging sessions. With each charging session, the EV uses a different pseudonym which prevents adversaries from linking the different charging sessions of the EV. On an application level, our protocol supports fair user billing, i.e. each user pays only for his/her own energy consumption, and an open EV marketplace in which EV users can safely choose among different remote host suppliers.
{"title":"Roaming electric vehicle charging and billing: An anonymous multi-user protocol","authors":"Mustafa A. Mustafa, Ning Zhang, G. Kalogridis, Z. Fan","doi":"10.1109/SmartGridComm.2014.7007769","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2014.7007769","url":null,"abstract":"In this paper, we propose a secure roaming electric vehicle (EV) charging protocol that helps preserve users' privacy. During a charging session, a roaming EV user uses a pseudonym of the EV (known only to the user's contracted supplier) which is anonymously signed by the user's private key. This protocol protects the user's identity privacy from other suppliers as well as the user's privacy of location from its own supplier. Further, it allows the user's contracted supplier to authenticate the EV and the user. Using two-factor authentication approach a multiuser EV charging is supported and different legitimate EV users (e.g. family members) can be held accountable for their charging sessions. With each charging session, the EV uses a different pseudonym which prevents adversaries from linking the different charging sessions of the EV. On an application level, our protocol supports fair user billing, i.e. each user pays only for his/her own energy consumption, and an open EV marketplace in which EV users can safely choose among different remote host suppliers.","PeriodicalId":6499,"journal":{"name":"2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"78 1","pages":"939-945"},"PeriodicalIF":0.0,"publicationDate":"2014-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82492686","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 : 2014-11-03DOI: 10.1109/SmartGridComm.2014.7007708
L. Schenato, G. Barchi, D. Macii, R. Arghandeh, K. Poolla, A. V. Meier
In this work we address the problem of static state estimation (SE) in distribution grids by leveraging historical meter data (pseudo-measurements) with real-time measurements from synchrophasors (PMU data). We present a Bayesian linear estimator based on a linear approximation of the power flow equations for distribution networks, which is computationally more efficient than standard nonlinear weighted least squares (WLS) estimators. We show via numerical simulations that the proposed strategy performs similarly to the standard WLS estimator on a small distribution network. A key advantage of the proposed approach is that it provides explicit off-line computation of the estimation error confidence intervals, which we use to explore the tradeoffs between number of PMUs, PMU placement and measurement uncertainty. Since the estimation error in distribution systems tends to be dominated by uncertainty in loads and scarcity of instrumented nodes, the linearized method along with the use of high-precision PMUs may be a suitable way to facilitate on-line state estimation where it was previously impractical.
{"title":"Bayesian linear state estimation using smart meters and PMUs measurements in distribution grids","authors":"L. Schenato, G. Barchi, D. Macii, R. Arghandeh, K. Poolla, A. V. Meier","doi":"10.1109/SmartGridComm.2014.7007708","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2014.7007708","url":null,"abstract":"In this work we address the problem of static state estimation (SE) in distribution grids by leveraging historical meter data (pseudo-measurements) with real-time measurements from synchrophasors (PMU data). We present a Bayesian linear estimator based on a linear approximation of the power flow equations for distribution networks, which is computationally more efficient than standard nonlinear weighted least squares (WLS) estimators. We show via numerical simulations that the proposed strategy performs similarly to the standard WLS estimator on a small distribution network. A key advantage of the proposed approach is that it provides explicit off-line computation of the estimation error confidence intervals, which we use to explore the tradeoffs between number of PMUs, PMU placement and measurement uncertainty. Since the estimation error in distribution systems tends to be dominated by uncertainty in loads and scarcity of instrumented nodes, the linearized method along with the use of high-precision PMUs may be a suitable way to facilitate on-line state estimation where it was previously impractical.","PeriodicalId":6499,"journal":{"name":"2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"58 1","pages":"572-577"},"PeriodicalIF":0.0,"publicationDate":"2014-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88629399","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 : 2014-11-03DOI: 10.1109/SmartGridComm.2014.7007748
Yubo Wang, O. Sheikh, Boyang Hu, C. Chu, R. Gadh
Integration of Electrical Vehicles (EVs) with power grid not only brings new challenges for load management, but also opportunities for distributed storage and generation in distribution network. With the introduction of Vehicle-to-Home (V2H) and Vehicle-to-Grid (V2G), EVs can help stabilize the operation of power grid. This paper proposed and implemented a hybrid V2H/V2G system with commercialized EVs, which is able to support both islanded AC/DC load and the power grid with one single platform. Standard industrial communication protocols are implemented for a seamless respond to remote Demand Respond (DR) signals. Simulation and implementation are carried out to validate the proposed design. Simulation and implementation results showed that the hybrid system is capable of support critical islanded DC/AC load and quickly respond to the remote DR signal for V2G within 1.5kW of power range.
{"title":"Integration of V2H/V2G hybrid system for demand response in distribution network","authors":"Yubo Wang, O. Sheikh, Boyang Hu, C. Chu, R. Gadh","doi":"10.1109/SmartGridComm.2014.7007748","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2014.7007748","url":null,"abstract":"Integration of Electrical Vehicles (EVs) with power grid not only brings new challenges for load management, but also opportunities for distributed storage and generation in distribution network. With the introduction of Vehicle-to-Home (V2H) and Vehicle-to-Grid (V2G), EVs can help stabilize the operation of power grid. This paper proposed and implemented a hybrid V2H/V2G system with commercialized EVs, which is able to support both islanded AC/DC load and the power grid with one single platform. Standard industrial communication protocols are implemented for a seamless respond to remote Demand Respond (DR) signals. Simulation and implementation are carried out to validate the proposed design. Simulation and implementation results showed that the hybrid system is capable of support critical islanded DC/AC load and quickly respond to the remote DR signal for V2G within 1.5kW of power range.","PeriodicalId":6499,"journal":{"name":"2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"80 1","pages":"812-817"},"PeriodicalIF":0.0,"publicationDate":"2014-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87467991","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 : 2014-11-03DOI: 10.1109/SmartGridComm.2014.7007764
Georgia Koutsandria, V. Muthukumar, M. Parvania, S. Peisert, C. McParland, A. Scaglione
In this paper, we propose a novel use of network intrusion detection systems (NIDSs) tailored to detect attacks against networks that support hybrid controllers that implement power grid protection schemes. In our approach, we implement specification-based intrusion detection signatures based on the execution of the hybrid automata that specify the communication rules and physical limits that the system should obey. To validate our idea, we developed an experimental framework consisting of a simulation of the physical system and an emulation of the master controller, which serves as the digital relay that implements the protection mechanism. Our Hybrid Control NIDS (HC-NIDS) continuously monitors and analyzes the network traffic exchanged within the physical system. It identifies traffic that deviates from the expected communication pattern or physical limitations, which could place the system in an unsafe mode of operation. Our experimental analysis demonstrates that our approach is able to detect a diverse range of attack scenarios aimed at compromising the physical process by leveraging information about the physical part of the power system.
{"title":"A hybrid network IDS for protective digital relays in the power transmission grid","authors":"Georgia Koutsandria, V. Muthukumar, M. Parvania, S. Peisert, C. McParland, A. Scaglione","doi":"10.1109/SmartGridComm.2014.7007764","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2014.7007764","url":null,"abstract":"In this paper, we propose a novel use of network intrusion detection systems (NIDSs) tailored to detect attacks against networks that support hybrid controllers that implement power grid protection schemes. In our approach, we implement specification-based intrusion detection signatures based on the execution of the hybrid automata that specify the communication rules and physical limits that the system should obey. To validate our idea, we developed an experimental framework consisting of a simulation of the physical system and an emulation of the master controller, which serves as the digital relay that implements the protection mechanism. Our Hybrid Control NIDS (HC-NIDS) continuously monitors and analyzes the network traffic exchanged within the physical system. It identifies traffic that deviates from the expected communication pattern or physical limitations, which could place the system in an unsafe mode of operation. Our experimental analysis demonstrates that our approach is able to detect a diverse range of attack scenarios aimed at compromising the physical process by leveraging information about the physical part of the power system.","PeriodicalId":6499,"journal":{"name":"2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"11 1","pages":"908-913"},"PeriodicalIF":0.0,"publicationDate":"2014-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88838938","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 : 2014-11-03DOI: 10.1109/SmartGridComm.2014.7007693
O. J. Oyedapo, B. Vrigneau, R. Vauzelle
Integrated communications with sensing and measurements are relevant technologies identified to provide automation for the smart grid (SG) applications. Incorporating intelligence into the electrical grid necessitates the gathering of relevant information in in realtime from variety of electrical utility sources located either at the bulk generation, transmission, distribution or customer domain. The deployment of wireless sensor network (WSN) is an attractive solution for such task, due to certain merits. In this paper, we show how large WSN cluster could benefit from distributed max-dmin MIMO precoder with a proposed node selection technique offering a realistic implementation. We exploit spatial diversity of the nodes to make the channel state information (CSI) available at transmitting nodes organized into a cluster. Performance evaluation of the nodes selection technique shows substantial amount of energy can be saved in high voltage (HV) power substation channel environment that is corrupted by Additive White Gaussian Noise (AWGN), impulsive noise, and node synchronization errors.
{"title":"Cooperative closed-loop MIMO selective transmissions in a HV environment","authors":"O. J. Oyedapo, B. Vrigneau, R. Vauzelle","doi":"10.1109/SmartGridComm.2014.7007693","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2014.7007693","url":null,"abstract":"Integrated communications with sensing and measurements are relevant technologies identified to provide automation for the smart grid (SG) applications. Incorporating intelligence into the electrical grid necessitates the gathering of relevant information in in realtime from variety of electrical utility sources located either at the bulk generation, transmission, distribution or customer domain. The deployment of wireless sensor network (WSN) is an attractive solution for such task, due to certain merits. In this paper, we show how large WSN cluster could benefit from distributed max-dmin MIMO precoder with a proposed node selection technique offering a realistic implementation. We exploit spatial diversity of the nodes to make the channel state information (CSI) available at transmitting nodes organized into a cluster. Performance evaluation of the nodes selection technique shows substantial amount of energy can be saved in high voltage (HV) power substation channel environment that is corrupted by Additive White Gaussian Noise (AWGN), impulsive noise, and node synchronization errors.","PeriodicalId":6499,"journal":{"name":"2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"8 1","pages":"481-486"},"PeriodicalIF":0.0,"publicationDate":"2014-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83620366","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 : 2014-11-03DOI: 10.1109/SmartGridComm.2014.7007684
Thomas Hartmann, François Fouquet, Jacques Klein, Yves Le Traon, A. Pelov, L. Toutain, T. Ropitault
Today's electricity grid must undergo substantial changes in order to keep pace with the rising demand for energy. The vision of the smart grid aims to increase the efficiency and reliability of today's electricity grid, e.g. by integrating renewable energies and distributed micro-generations. The backbone of this effort is the facilitation of information and communication technologies to allow two-way communication and an automated control of devices. The underlying communication topology is essential for the smart grid and is what enables the smart grid to be smart. Analyzing, simulating, designing, and comparing smart grid infrastructures but also optimizing routing algorithms, and predicating impacts of failures, all of this relies on deep knowledge of a smart grids communication topology. However, since smart grids are still in a research and test phase, it is very difficult to get access to real-world topology data. In this paper we provide a comprehensive analysis of the power-line communication topology of a real-world smart grid, the one currently deployed and tested in Luxembourg. Building on the results of this analysis we implement a generator to automatically create random but realistic smart grid communication topologies. These can be used by researchers and industrial professionals to analyze, simulate, design, compare, and improve smart grid infrastructures.
{"title":"Generating realistic Smart Grid communication topologies based on real-data","authors":"Thomas Hartmann, François Fouquet, Jacques Klein, Yves Le Traon, A. Pelov, L. Toutain, T. Ropitault","doi":"10.1109/SmartGridComm.2014.7007684","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2014.7007684","url":null,"abstract":"Today's electricity grid must undergo substantial changes in order to keep pace with the rising demand for energy. The vision of the smart grid aims to increase the efficiency and reliability of today's electricity grid, e.g. by integrating renewable energies and distributed micro-generations. The backbone of this effort is the facilitation of information and communication technologies to allow two-way communication and an automated control of devices. The underlying communication topology is essential for the smart grid and is what enables the smart grid to be smart. Analyzing, simulating, designing, and comparing smart grid infrastructures but also optimizing routing algorithms, and predicating impacts of failures, all of this relies on deep knowledge of a smart grids communication topology. However, since smart grids are still in a research and test phase, it is very difficult to get access to real-world topology data. In this paper we provide a comprehensive analysis of the power-line communication topology of a real-world smart grid, the one currently deployed and tested in Luxembourg. Building on the results of this analysis we implement a generator to automatically create random but realistic smart grid communication topologies. These can be used by researchers and industrial professionals to analyze, simulate, design, compare, and improve smart grid infrastructures.","PeriodicalId":6499,"journal":{"name":"2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"46 1","pages":"428-433"},"PeriodicalIF":0.0,"publicationDate":"2014-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82686790","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.2014.7007689
Y. Pignolet, S. Schmid, Gilles Trédan
This paper initiates the study of broadcast in a powerline communication network, where nodes communicate by local broadcasts in the grid, and where the quality of the communication links is subject to uncertainty. We first show that state-of-the-art broadcast algorithms for known topologies fail to broadcast messages in such a challenging environment, even when the link quality uncertainty is small. We then present a deterministic algorithm COLORCAST that distributes a message to all nodes in the network in time Θ(n). The algorithm is based on graph coloring and avoids collisions while guaranteeing a high parallelism. In particular, COLORCAST strictly outperforms existing deterministic broadcast algorithms for unknown topologies in the sense that its time complexity is asymptotically lower than the best possible runtime for the unknown setting. Our formal analysis is complemented with a simulation study on real grid topologies, which confirms the benefits of COLORCAST compared to state-of-the-art protocols.
{"title":"ColorCast: Deterministic broadcast in powerline networks with uncertainties","authors":"Y. Pignolet, S. Schmid, Gilles Trédan","doi":"10.1109/SmartGridComm.2014.7007689","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2014.7007689","url":null,"abstract":"This paper initiates the study of broadcast in a powerline communication network, where nodes communicate by local broadcasts in the grid, and where the quality of the communication links is subject to uncertainty. We first show that state-of-the-art broadcast algorithms for known topologies fail to broadcast messages in such a challenging environment, even when the link quality uncertainty is small. We then present a deterministic algorithm COLORCAST that distributes a message to all nodes in the network in time Θ(n). The algorithm is based on graph coloring and avoids collisions while guaranteeing a high parallelism. In particular, COLORCAST strictly outperforms existing deterministic broadcast algorithms for unknown topologies in the sense that its time complexity is asymptotically lower than the best possible runtime for the unknown setting. Our formal analysis is complemented with a simulation study on real grid topologies, which confirms the benefits of COLORCAST compared to state-of-the-art protocols.","PeriodicalId":6499,"journal":{"name":"2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"50 1","pages":"458-463"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74002796","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.2014.7007713
Hao Wang, Jianwei Huang
Both solar energy and wind energy are promising renewable sources to meet the world's problem of energy shortage in the near future. In this paper, we identify the complementary relation between solar power and wind power at certain locations of Hong Kong, and aim at studying the hybrid renewable energy investment in the microgrid. We jointly consider the investment and operation problem, and present a two-period stochastic programming model from the microgrid operator's perspective. In the first period, the operator makes optimal investment decisions on solar and wind power capacities. In the second period, the operator coordinates the power supply and demand in the microgrid to minimize the social operational cost. We design a decentralized algorithm for computing the optimal pricing and power consumption in the second period, and based on this solve the optimal investment problem in the first period. With realistic meteorological data obtained from Hong Kong observatory, we numerically demonstrate that the demand response saves 18% of the capital investment, and hybrid renewable energy investment reduces the generation capacity by up to 6.3% compared to a single renewable energy investment.
{"title":"Hybrid renewable energy investment in microgrid","authors":"Hao Wang, Jianwei Huang","doi":"10.1109/SmartGridComm.2014.7007713","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2014.7007713","url":null,"abstract":"Both solar energy and wind energy are promising renewable sources to meet the world's problem of energy shortage in the near future. In this paper, we identify the complementary relation between solar power and wind power at certain locations of Hong Kong, and aim at studying the hybrid renewable energy investment in the microgrid. We jointly consider the investment and operation problem, and present a two-period stochastic programming model from the microgrid operator's perspective. In the first period, the operator makes optimal investment decisions on solar and wind power capacities. In the second period, the operator coordinates the power supply and demand in the microgrid to minimize the social operational cost. We design a decentralized algorithm for computing the optimal pricing and power consumption in the second period, and based on this solve the optimal investment problem in the first period. With realistic meteorological data obtained from Hong Kong observatory, we numerically demonstrate that the demand response saves 18% of the capital investment, and hybrid renewable energy investment reduces the generation capacity by up to 6.3% compared to a single renewable energy investment.","PeriodicalId":6499,"journal":{"name":"2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"7 1","pages":"602-607"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74412317","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.2014.7007662
Miao He, Junshan Zhang
Deadline-aware concentration of synchrophasor data from spatially dispersed phasor measurement units (PMUs) is studied, with an objective to find the optimal policy for the wait time of a phasor data concentrator (PDC), such that the deadline-constrained synchrophasor data delivery from PMUs via PDC to control center achieves maximal expected throughput. When the statistical information on the communication latency from PMUs to PDC and from PDC to control center is known, the wait time problem is cast as a continuous-time optimal stopping problem. The optimal stopping policy is then shown to exist, and then obtained by utilizing the infinitesimal look-ahead rule under mild conditions. Further, the scenarios with substation PDCs or super PDCs are also considered. The dynamic wait time policy obtained by using the proposed optimal stopping approach, in comparison with two fixed wait time policies, results in significant improvement, as revealed through simulation studies.
{"title":"Deadline-aware concentration of synchrophasor data: An optimal stopping approach","authors":"Miao He, Junshan Zhang","doi":"10.1109/SmartGridComm.2014.7007662","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2014.7007662","url":null,"abstract":"Deadline-aware concentration of synchrophasor data from spatially dispersed phasor measurement units (PMUs) is studied, with an objective to find the optimal policy for the wait time of a phasor data concentrator (PDC), such that the deadline-constrained synchrophasor data delivery from PMUs via PDC to control center achieves maximal expected throughput. When the statistical information on the communication latency from PMUs to PDC and from PDC to control center is known, the wait time problem is cast as a continuous-time optimal stopping problem. The optimal stopping policy is then shown to exist, and then obtained by utilizing the infinitesimal look-ahead rule under mild conditions. Further, the scenarios with substation PDCs or super PDCs are also considered. The dynamic wait time policy obtained by using the proposed optimal stopping approach, in comparison with two fixed wait time policies, results in significant improvement, as revealed through simulation studies.","PeriodicalId":6499,"journal":{"name":"2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"89 1","pages":"296-301"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81602645","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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