2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)最新文献_第2页

Towards Privacy-preserving Anomaly-based Attack Detection against Data Falsification in Smart Grid 针对智能电网中的数据篡改，实现基于异常的隐私保护攻击检测

2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) Pub Date : 2020-11-11 DOI: 10.1109/SmartGridComm47815.2020.9303009

Yu Ishimaki, Shameek Bhattacharjee, H. Yamana, Sajal K. Das

{"title":"Towards Privacy-preserving Anomaly-based Attack Detection against Data Falsification in Smart Grid","authors":"Yu Ishimaki, Shameek Bhattacharjee, H. Yamana, Sajal K. Das","doi":"10.1109/SmartGridComm47815.2020.9303009","DOIUrl":"https://doi.org/10.1109/SmartGridComm47815.2020.9303009","url":null,"abstract":"In this paper, we present a novel framework for privacy-preserving anomaly-based data falsification attack detection in a smart grid advanced metering infrastructure (AMI). Specifically, we propose an anomaly detection framework over homomorphically encrypted data. Unlike existing privacy-preserving anomaly detectors, our framework detects the presence of not only energy theft (i.e., deductive attack), but also more advanced data integrity attacks (i.e., additive and camouflage attacks) over encrypted data without diminishing detection sensitivity. We optimize the anomaly detection procedure such that potentially expensive operations over homomorphically encrypted space are avoided. Moreover, we optimize the encryption method designed for a resource constrained device such as smart meters, and the time to complete encryption gets 40x faster over the naïve adoption of the encryption method. We also validate the proposed framework using a real dataset from smart metering infrastructures, and demonstrate that the data integrity attacks can be detected with high sensitivity, without sacrificing user privacy. Experimental results with a real dataset of 200 houses from an AMI in Texas showed that the detection sensitivity of the plaintext algorithm is not degraded due to the use of homomorphic encryption.","PeriodicalId":428461,"journal":{"name":"2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125805310","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: 6

Communication and Computation Resource Allocation and Offloading for Edge Intelligence Enabled Fault Detection System in Smart Grid 基于边缘智能的智能电网故障检测系统的通信与计算资源分配与卸载

2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) Pub Date : 2020-11-11 DOI: 10.1109/SmartGridComm47815.2020.9302930

Qiyue Li, Yuxing Deng, Wei Sun, Weitao Li

{"title":"Communication and Computation Resource Allocation and Offloading for Edge Intelligence Enabled Fault Detection System in Smart Grid","authors":"Qiyue Li, Yuxing Deng, Wei Sun, Weitao Li","doi":"10.1109/SmartGridComm47815.2020.9302930","DOIUrl":"https://doi.org/10.1109/SmartGridComm47815.2020.9302930","url":null,"abstract":"Smart grids have various capabilities to meet the electricity demands of modern society in production and life, and real-time monitoring of smart grids is critical to enhance the reliability and operational efficiency of power utilities. With the development of artificial intelligence technology and cloud computing, several studies have proposed using the powerful computing ability of clouds to design fault detection systems based on deep learning. However, due to the transmission delay in the Internet backbone and the large amount of data uploaded to the system, various problems arise such as a large bandwidth load and poor real-time feedback from the cloud platform. To solve these problems, it is necessary to embed the artificial intelligence technology at the edge of a network to realize a de-centralized system. In this paper, we propose an edge computing assisted smart grid fault detection system that uses an embedded lightweight neural network device, which is placed near the edge of the monitored equipment to realize real-time monitoring. In addition, considering the limited communication resources, relatively low computation capabilities, and different monitoring accuracies of edge devices, we design an optimal allocation method for communication and computation resources, which can maximize the throughput of the system, and improve the resource utilization of the system while meeting the requirements of data transmission and delay processing. Finally, simulation experiments are carried out to show that compared with other structures of smart grid fault detection systems, our proposed system can transmit more data while meeting the requirements of the delay bound, reduce the time required for transmission, and enhance the real-time performance of smart grid fault detection systems.","PeriodicalId":428461,"journal":{"name":"2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129384258","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: 9

A Review on Artificial Intelligence for Grid Stability Assessment 人工智能在电网稳定性评估中的研究进展

2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) Pub Date : 2020-11-11 DOI: 10.1109/SmartGridComm47815.2020.9302990

Shutang You, Yinfeng Zhao, Mirka Mandich, Yi Cui, Hongyu Li, Huangqing Xiao, Summer Fabus, Yu Su, Yilu Liu, Haoyu Yuan, Huaiguang Jiang, Jin Tan, Y. Zhang

引用次数: 27

Joint Capacity Modeling for Electric Vehicles in V2I-enabled Wireless Charging Highways 基于v2i的无线充电高速公路电动汽车联合容量建模

2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) Pub Date : 2020-11-11 DOI: 10.1109/SmartGridComm47815.2020.9302993

Dimitrios Sikeridis, M. Devetsikiotis

{"title":"Joint Capacity Modeling for Electric Vehicles in V2I-enabled Wireless Charging Highways","authors":"Dimitrios Sikeridis, M. Devetsikiotis","doi":"10.1109/SmartGridComm47815.2020.9302993","DOIUrl":"https://doi.org/10.1109/SmartGridComm47815.2020.9302993","url":null,"abstract":"Wireless Charging Highways (WCHs) have been introduced by industry and academia to enable charging-while-driving for electric vehicles (EVs) and to combat range anxiety. While detailed planning and performance evaluation of such systems are crucial due to high cost and long life expectancy, most existing works assume a perfect communication environment. In this paper, we introduce a joint capacity model that takes into account both power and communication resources for WCH construction planning, and optimal day-to-day operation. The vehicle-to-infrastructure (V2I) communication and grid power capacities, along with the EV’s average service rate are formulated following technology requirements, EV speed-density characteristics, and the EV’s energy needs and consumption. In addition, a two-dimension Markov chain-based model is designed to capture the WCH power and connectivity dynamics. The proposed model can be used to calculate the system’s Quality of Service (QoS) and profit, provide design insights, and assess the impact of speed regulation, or admission control on the WCH lane. Finally, the performance of the proposed model is evaluated using real US highway data with the results demonstrating its ability to accurately capture the service provision dynamics, and to identify trade-offs between system parameters.","PeriodicalId":428461,"journal":{"name":"2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"1131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114158025","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: 1

On the Double Auction Mechanism Design for Electricity Market 电力市场双重竞价机制设计研究

2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) Pub Date : 2020-11-11 DOI: 10.1109/SmartGridComm47815.2020.9302995

Jiaman Wu, Chenye Wu

{"title":"On the Double Auction Mechanism Design for Electricity Market","authors":"Jiaman Wu, Chenye Wu","doi":"10.1109/SmartGridComm47815.2020.9302995","DOIUrl":"https://doi.org/10.1109/SmartGridComm47815.2020.9302995","url":null,"abstract":"The electricity market, due to its complex under-lying physical constraints, suffers from market manipulation. Most existing markets employ the double auction to organize the markets: the independent system operator collects the bidding information from both the supply sides and solves the Walrasian equilibrium to conduct dispatch. Market manipulation arises when market players strategically bid their information. Hence to contain the manipulation, one promising solution is to design the double auction mechanism to induce truthful bidding. In this work, we customize four double auction mechanisms (Walrasian equilibrium Mechanism, VCG mechanism, MUDA (Lottery) mechanism, and MUDA (VCG) mechanism) for the electricity market. After proposing key metrics to evaluate the performance of various mechanisms, we conduct extensive numerical studies based on the real market data for a thorough comparison between the four mechanisms and identify the unique features for each mechanism. This could serve as the theoretical guidance for the double auction mechanism design for the electricity market.","PeriodicalId":428461,"journal":{"name":"2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"56 46","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120888918","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: 2

Making Renewable Energy Certificates Efficient, Trustworthy, and Anonymous 使可再生能源证书高效、可信和匿名

2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) Pub Date : 2020-11-11 DOI: 10.1109/SmartGridComm47815.2020.9302967

Dimcho Karakashev, S. Gorbunov, S. Keshav

引用次数: 3

Automatically Locating Mitigation Information for Security Vulnerabilities 自动定位安全漏洞缓解信息

2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) Pub Date : 2020-11-11 DOI: 10.1109/SmartGridComm47815.2020.9303019

Kylie McClanahan, Qinghua Li

{"title":"Automatically Locating Mitigation Information for Security Vulnerabilities","authors":"Kylie McClanahan, Qinghua Li","doi":"10.1109/SmartGridComm47815.2020.9303019","DOIUrl":"https://doi.org/10.1109/SmartGridComm47815.2020.9303019","url":null,"abstract":"Software vulnerabilities pose significant security risks to systems. Usually patching can fix vulnerabilities, but patches are not always available, and in many cases patching is not preferred due to high overhead and potential service interruptions which is especially true for the electric industry. Then, other mitigation strategies are needed to mitigate security vulnerabilities. Information about mitigation strategies can be difficult to find and is typically only reported on vendor or third-party websites. In the current practice, such information is manually located by security operators, which induces high delays and operation cost. We consider this problem within the electric industry, which has particular importance and challenges because of its regulatory requirements. We propose that providing electric utilities with automatically-located mitigation information will help them overcome the time burden and mitigate vulnerabilities more timely. In particular, we develop three methods for automatically retrieving mitigation information from vendor or third-party websites. Experiment results show high performance with all the three methods.","PeriodicalId":428461,"journal":{"name":"2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133985164","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: 4

LENARD: Lightweight ENsemble LeARner for MeDium-term Electricity Consumption Prediction 用于中期电力消耗预测的轻量级集成学习器

2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) Pub Date : 2020-11-11 DOI: 10.1109/SmartGridComm47815.2020.9303012

Onat Güngör, J. Garnier, T. Simunic, Baris Aksanli

引用次数: 6

Optimal Smart Grid Operation and Control Enhancement by Edge Computing 基于边缘计算的智能电网优化运行与控制增强

2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) Pub Date : 2020-11-11 DOI: 10.1109/SmartGridComm47815.2020.9302998

Y. Liao, Jiangbiao He

引用次数: 3

Electricity Load Forecasting with Collective Echo State Networks 基于集体回波状态网络的电力负荷预测

2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) Pub Date : 2020-11-11 DOI: 10.1109/SmartGridComm47815.2020.9302985

Si-Wu Liu, Chenxiao Xu, Y. Liu, D. Katramatos, Shinjae Yoo

引用次数: 0