2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)最新文献_第4页

A simulation study of routing protocols for smart meter networks 智能电表网络路由协议的仿真研究

2013 IEEE International Conference on Smart Grid Communications (SmartGridComm) Pub Date : 2013-12-19 DOI: 10.1109/SmartGridComm.2013.6687988

Vibha Kathuria, Gokulraj Mohanasundaram, Samir R Das

引用次数: 13

Distributed Real-Time Power Flow control with renewable integration 可再生能源集成的分布式实时潮流控制

2013 IEEE International Conference on Smart Grid Communications (SmartGridComm) Pub Date : 2013-12-19 DOI: 10.1109/SmartGridComm.2013.6688010

K. Nakayama, Changhong Zhao, L. Bic, M. Dillencourt, J. Brouwer

引用次数: 9

Detection and localization of targeted attacks on fully distributed power system state estimation 全分布式电力系统状态估计的目标攻击检测与定位

2013 IEEE International Conference on Smart Grid Communications (SmartGridComm) Pub Date : 2013-12-19 DOI: 10.1109/SmartGridComm.2013.6687989

O. Vukovic, G. Dán

引用次数: 19

ECO-DAC Energy Control over Divide and Control ECO-DAC能源控制优于分治控制

2013 IEEE International Conference on Smart Grid Communications (SmartGridComm) Pub Date : 2013-12-19 DOI: 10.1109/SmartGridComm.2013.6688035

A. S. Akyurek, B. Torre, T. Simunic

引用次数: 5

Graphical model for state estimation in electric power systems 电力系统状态估计的图形模型

2013 IEEE International Conference on Smart Grid Communications (SmartGridComm) Pub Date : 2013-12-19 DOI: 10.1109/SmartGridComm.2013.6687941

Yang Weng, R. Negi, M. Ilić

{"title":"Graphical model for state estimation in electric power systems","authors":"Yang Weng, R. Negi, M. Ilić","doi":"10.1109/SmartGridComm.2013.6687941","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6687941","url":null,"abstract":"This paper is motivated by major needs for fast and accurate on-line state estimation (SE) in the emerging electric energy systems, due to recent penetration of distributed green energy, distributed intelligence, and plug-in electric vehicles. Different from the traditional deterministic approach, this paper uses a probabilistic graphical model to account for these new uncertainties by efficient distributed state estimation. The proposed graphical model is able to discover and analyze unstructured information and it has been successfully deployed in statistical physics, computer vision, error control coding, and artificial intelligence. Specifically, this paper shows how to model the traditional power system state estimation problem in a probabilistic manner. Mature graphical model inference tools, such as belief propagation and variational belief propagation, are subsequently applied. Simulation results demonstrate better performance of SE over the traditional deterministic approach in terms of accuracy and computational time. Notably, the near-linear computational time of the proposed approach enables the scalability of state estimation which is crucial in the operation of future large-scale smart grid.","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":"134040616","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}

引用次数: 38

Scalable model predictive control of demand for ancillary services 辅助服务需求的可扩展模型预测控制

2013 IEEE International Conference on Smart Grid Communications (SmartGridComm) Pub Date : 2013-12-19 DOI: 10.1109/SmartGridComm.2013.6688038

M. Alizadeh, A. Scaglione, G. Kesidis

引用次数: 11

Characteristics of AMI using DLMS/COSEM and IEEE 802.15.4g multi-hop wireless communication 采用DLMS/COSEM和IEEE 802.15.4g多跳无线通信的AMI特性

2013 IEEE International Conference on Smart Grid Communications (SmartGridComm) Pub Date : 2013-12-19 DOI: 10.1109/SmartGridComm.2013.6687978

T. Otani, M. Miyashita

引用次数: 5

Encryption key management for secure communication in smart advanced metering infrastructures 智能高级计量基础设施中安全通信的加密密钥管理

2013 IEEE International Conference on Smart Grid Communications (SmartGridComm) Pub Date : 2013-12-19 DOI: 10.1109/SmartGridComm.2013.6688007

Seung-Hyun Seo, Xiaoyu Ding, E. Bertino

{"title":"Encryption key management for secure communication in smart advanced metering infrastructures","authors":"Seung-Hyun Seo, Xiaoyu Ding, E. Bertino","doi":"10.1109/SmartGridComm.2013.6688007","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6688007","url":null,"abstract":"Smart grid technology can improve environmental sustainability and increase the efficiency of energy management. Because of these important benefits, conventional power grid systems are being replaced with new, advanced smart grid systems utilizing Advanced Metering Infrastructures (AMIs). These smart grid systems rely on current information and communication technology (ICT) to provide enhanced services to both users and utility companies. However, the increased use of ICT makes smart grid systems vulnerable to cyber-attacks, such as spoofing, eavesdropping and man-in-the-middle attacks. A major security concern is related to secure data transmission between the smart meters and the utility. Encryption techniques are typically used for such purpose. However the deployment of encryption techniques in an AMI requires efficient and scalable approaches for managing encryption keys. In this paper, we propose an efficient encryption key management mechanism for end-to-end security in the AMI. By applying certificateless public key cryptography for smart meter key management, our approach eliminates certificate management overhead at the utility. Moreover, our mechanism is practical, because it does not require any extra hardware for authentication of the smart meters.","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":"122103492","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}

引用次数: 21

Energy delivery networks 能源输送网络

2013 IEEE International Conference on Smart Grid Communications (SmartGridComm) Pub Date : 2013-12-19 DOI: 10.1109/SmartGridComm.2013.6688048

J. Hazra, Sambuddha Roy, Zainul Charbiwala, D. Seetharam, Yogish Sabharwal, S. A. Husain, S. Mathew

{"title":"Energy delivery networks","authors":"J. Hazra, Sambuddha Roy, Zainul Charbiwala, D. Seetharam, Yogish Sabharwal, S. A. Husain, S. Mathew","doi":"10.1109/SmartGridComm.2013.6688048","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6688048","url":null,"abstract":"Energy storage technologies that are connected to medium- or low-voltage distribution systems are referred to as Distributed Energy Storage (DES). DES are becoming more common as the storage technologies are becoming cheaper. Energy stored on the distribution system, whether it is generated by Distributed Generation (DG) or central generation units, could provide crucial services (such as load leveling, automatic generation control, smoothing fluctuations in intermittent sources, etc) to electricity suppliers. The need of the hour is to effectively utilize these distributed storage devices so as to lower operating costs while offering aforementioned services. In contemporary literature, while DES have been considered, they could only be charged/discharged from/to the grid. The current work marks a significant departure with the goal of allowing storage devices to charge each other. Such battery-to-battery energy transfer is useful for instance in scenarios when generators cannot be run for certain reasons, or that it might cause too much load on the network, if the storage devices were to be charged directly from the power grid. Simulation results on a 30-bus IEEE benchmark system validate the benefits of inter-storage charge transfers.","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":"125754860","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}

引用次数: 0

Real-time prediction of power system frequency in FNET: A state space approach 基于FNET的电力系统频率实时预测:一种状态空间方法

2013 IEEE International Conference on Smart Grid Communications (SmartGridComm) Pub Date : 2013-12-19 DOI: 10.1109/SmartGridComm.2013.6687942

Jin Dong, Xiao Ma, S. Djouadi, Husheng Li, P. Kuruganti

{"title":"Real-time prediction of power system frequency in FNET: A state space approach","authors":"Jin Dong, Xiao Ma, S. Djouadi, Husheng Li, P. Kuruganti","doi":"10.1109/SmartGridComm.2013.6687942","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6687942","url":null,"abstract":"This paper proposes a novel approach to predict power frequency by applying a state-space model to describe the time-varying nature of power systems. It introduces the Expectation maximization (EM) and prediction error minimization (PEM) algorithms to dynamically estimate the parameters of the model. In this paper, we discuss how the proposed models can be used to ensure the efficiency and reliability of power systems in Frequency Monitoring Network (FNET), if serious frequency fluctuation or measurement failure occur at some nodes; this is achieved without requiring the exact model of complex power systems. Our approach leads to an easy online implementation with high precision and short response time that are key to effective frequency control. We randomly pick a set of frequency data for one power station in FNET and use it to estimate and predict the power frequency based on past measurements. Several computer simulations are provided to evaluate the method. Numerical results showed that the proposed technique could achieve good performance regarding the frequency monitoring with very limited measurement input information.","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":"127168918","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}

引用次数: 13