Pub Date : 2013-12-19DOI: 10.1109/SmartGridComm.2013.6687935
Jonas Wäfler, P. Heegaard
The pervasive use of information and communication technology (ICT) in the future power grid introduces new dependencies and new failure patterns. The simultaneous failure of several nodes may become more likely as devices get more complex and increasingly interconnected. Several studies investigated the behavior of power grids under simultaneous failures. However, the commonly used measure to quantify the outcome is agnostic to important characteristics of the power grid and its interpretation for dependability analysis remains unclear. We introduce two new measures which take the most fundamental characteristics of the power grid into account: the connectivity to power sources and the balancing of load and production. We analyze the two measures in scenarios with random and intentional node failures and conclude, that they are suitable for structural dependability and survivability analysis of power grids. Further, we use the new measures to quantify the potential dependability increase when using the smart grid services Demand Response (DR) and Distributed Energy Resources for failure mitigation. We find that a load reduction with DR by 20% may already achieve a large part of the possible dependability increase with Demand Response.
{"title":"Structural dependability analysis in smart grid under simultaneous failures","authors":"Jonas Wäfler, P. Heegaard","doi":"10.1109/SmartGridComm.2013.6687935","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6687935","url":null,"abstract":"The pervasive use of information and communication technology (ICT) in the future power grid introduces new dependencies and new failure patterns. The simultaneous failure of several nodes may become more likely as devices get more complex and increasingly interconnected. Several studies investigated the behavior of power grids under simultaneous failures. However, the commonly used measure to quantify the outcome is agnostic to important characteristics of the power grid and its interpretation for dependability analysis remains unclear. We introduce two new measures which take the most fundamental characteristics of the power grid into account: the connectivity to power sources and the balancing of load and production. We analyze the two measures in scenarios with random and intentional node failures and conclude, that they are suitable for structural dependability and survivability analysis of power grids. Further, we use the new measures to quantify the potential dependability increase when using the smart grid services Demand Response (DR) and Distributed Energy Resources for failure mitigation. We find that a load reduction with DR by 20% may already achieve a large part of the possible dependability increase with Demand Response.","PeriodicalId":136434,"journal":{"name":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115621556","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":"24 1","pages":"0"},"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.2013.6687936
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":"6 1","pages":"0"},"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.2013.6687975
M. Höfling, C. G. Mills, M. Menth
We develop and analyze algorithms that reduce the storage capacity required by SeDAX (Secure Data-centric Application eXtensible) in the presence of simultaneous node failures. The SeDAX infrastructure for smart grids uses data redundancy for a high level of reliability. It is an information-centric approach using resilient data forwarding in a Delaunay triangulated overlay. While SeDAX's data forwarding scheme is well understood, there is no study that considers the SeDAX storage capacity necessary to survive multiple node failures. Our results are compared with the theoretical lower bound of SeDAX and the lower bound of an idealized storage system. The presented algorithms can be used to reduce storage requirements of SeDAX in practice.
{"title":"Analyzing storage requirements of the resilient information-centric SeDAX architecture","authors":"M. Höfling, C. G. Mills, M. Menth","doi":"10.1109/SmartGridComm.2013.6687975","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6687975","url":null,"abstract":"We develop and analyze algorithms that reduce the storage capacity required by SeDAX (Secure Data-centric Application eXtensible) in the presence of simultaneous node failures. The SeDAX infrastructure for smart grids uses data redundancy for a high level of reliability. It is an information-centric approach using resilient data forwarding in a Delaunay triangulated overlay. While SeDAX's data forwarding scheme is well understood, there is no study that considers the SeDAX storage capacity necessary to survive multiple node failures. Our results are compared with the theoretical lower bound of SeDAX and the lower bound of an idealized storage system. The presented algorithms can be used to reduce storage requirements of SeDAX in practice.","PeriodicalId":136434,"journal":{"name":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127904867","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.2013.6687933
Dae-Hyun Choi, Le Xie
This paper formulates and analyzes the impact of power transmission network topology error on real-time electricity market prices. We consider the scenario in which the undetected false status of circuit breakers from topology error processing may lead to wrong modeling of real-time network topology, which, in turn, misleads the results of state estimation and real-time economic dispatch. In particular, we focus on the economic impact of this circuit breaker-induced network topology error on locational marginal price (LMP). The primary goal of this paper is to derive a simple LMP sensitivity index that accounts for the relationship between the change in network topology and LMP. The proposed sensitivity index provides system operators a simple but effective screening of the impact of topology errors on real-time LMP. The validity of the derived sensitivity index is verified and illustrated with numerical examples in the IEEE-14 bus system.
{"title":"Impact analysis of locational marginal price subject to power system topology errors","authors":"Dae-Hyun Choi, Le Xie","doi":"10.1109/SmartGridComm.2013.6687933","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6687933","url":null,"abstract":"This paper formulates and analyzes the impact of power transmission network topology error on real-time electricity market prices. We consider the scenario in which the undetected false status of circuit breakers from topology error processing may lead to wrong modeling of real-time network topology, which, in turn, misleads the results of state estimation and real-time economic dispatch. In particular, we focus on the economic impact of this circuit breaker-induced network topology error on locational marginal price (LMP). The primary goal of this paper is to derive a simple LMP sensitivity index that accounts for the relationship between the change in network topology and LMP. The proposed sensitivity index provides system operators a simple but effective screening of the impact of topology errors on real-time LMP. The validity of the derived sensitivity index is verified and illustrated with numerical examples in the IEEE-14 bus system.","PeriodicalId":136434,"journal":{"name":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121784132","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":"8 1","pages":"0"},"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.2013.6687926
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":"1 1","pages":"0"},"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.2013.6687946
I. S. Bayram, G. Michailidis, M. Devetsikiotis
The mainstream adoption of Electric and Plug-in Hybrid Electric Vehicles (EVs/PHEVs) requires the wide deployment of public charging stations of large scale. Such facilities are essential for this goal, and probably represent the only option for drivers living in densely populated areas. They could also provide complementary service to extend the EV range for drivers who also have access to domicile charging. On the other hand, since these stations will mainly operate during the day, stochastic customer demand exerted on the power grid may threaten its reliability. Hence, the problem of electric power resource provisioning should be carefully considered. In this study, we propose a capacity planning framework by exploiting the stochastic behavior of customer demand at each charging slot in large capacity stations. Our framework assigns a constant power to each charging slot. Thus, aggregated stochastic demand is approximated by a deterministic quantity, at the price of denying service to a very small percentage of customers. Our model leads to significant savings in power provisioning and provides critical insights about the design of charging station.
{"title":"Electric power resource provisioning for large scale public EV charging facilities","authors":"I. S. Bayram, G. Michailidis, M. Devetsikiotis","doi":"10.1109/SmartGridComm.2013.6687946","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6687946","url":null,"abstract":"The mainstream adoption of Electric and Plug-in Hybrid Electric Vehicles (EVs/PHEVs) requires the wide deployment of public charging stations of large scale. Such facilities are essential for this goal, and probably represent the only option for drivers living in densely populated areas. They could also provide complementary service to extend the EV range for drivers who also have access to domicile charging. On the other hand, since these stations will mainly operate during the day, stochastic customer demand exerted on the power grid may threaten its reliability. Hence, the problem of electric power resource provisioning should be carefully considered. In this study, we propose a capacity planning framework by exploiting the stochastic behavior of customer demand at each charging slot in large capacity stations. Our framework assigns a constant power to each charging slot. Thus, aggregated stochastic demand is approximated by a deterministic quantity, at the price of denying service to a very small percentage of customers. Our model leads to significant savings in power provisioning and provides critical insights about the design of charging station.","PeriodicalId":136434,"journal":{"name":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123779079","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":"1 1","pages":"0"},"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.2013.6687924
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":"29 1","pages":"0"},"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}
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