2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)最新文献_第3页

Power System Equipment Cyber-Physical Risk Assessment Based on Architecture and Critical Clearing Time 基于体系结构和临界清除时间的电力系统设备网络物理风险评估

2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) Pub Date : 2018-10-01 DOI: 10.1109/SmartGridComm.2018.8587429

Hao Huang, K. Davis

{"title":"Power System Equipment Cyber-Physical Risk Assessment Based on Architecture and Critical Clearing Time","authors":"Hao Huang, K. Davis","doi":"10.1109/SmartGridComm.2018.8587429","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2018.8587429","url":null,"abstract":"With the trend of constructing Internet protocol (IP)-based systems, modern power grids are involving into integrated networks made up of cyber and physical infrastructure with the goal of improving stability, reliability, and efficiency. Cyber technology is the backbone of modern power grid operation, yet vulnerabilities in the cyber network can introduce cyber-enabled disruption of physical components, which may lead catastrophic outcomes. Thus, cyber-physical equipment assessment is needed for modern power grids to better prepare against unexpected contingencies. In this paper, the digital relay is representative of cyber-physical equipment in power grids since it is a connector between the cyber network and the physical infrastructure. This paper presents two methods to evaluate cyber-physical risk of all digital relays in a power system. These methods are based on cyber-physical architecture and critical clearing time respectively. The analysis is conducted on an 8-substation model with its cyber network and cyber-physical architecture. The ranks of each digital relay provide useful information for situational awareness in modern power grids. An online framework that evaluates cyber-physical assets in power systems from these two perspectives is presented.","PeriodicalId":213523,"journal":{"name":"2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"442 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115856937","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

On the Impact of Synchronization Attacks on Distributed and Cooperative Control in Microgrid Systems 同步攻击对微电网分布式协同控制的影响

2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) Pub Date : 2018-10-01 DOI: 10.1109/SmartGridComm.2018.8587491

Mingxiao Ma, Abdelkader Lahmadi

{"title":"On the Impact of Synchronization Attacks on Distributed and Cooperative Control in Microgrid Systems","authors":"Mingxiao Ma, Abdelkader Lahmadi","doi":"10.1109/SmartGridComm.2018.8587491","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2018.8587491","url":null,"abstract":"Microgrids are adopted to provide distributed generation of renewable energy resources and scalable integration of loads. To ensure the reliability of their power system operations, distributed and cooperative control schemes are proposed by integrating communication networks at their control layers. However, the information exchanged at the communication channels is vulnerable to malicious attacks aiming to introduce voltage instability and blackouts. In this paper, we design and evaluate a novel type of attacks on the cooperative control and communication layers in microgrids, where the attacker targets the communication links between distributed generators (DGs) and manipulates the reference voltage data exchanged by their controllers. We analyze the control-theoretic and detectability properties of this attack to assess its impact on reference voltage synchronization at the different control layers of a microgrid. Results from numerical simulation are presented to demonstrate this attack, and the maximum voltage deviation and inaccurate reference voltage synchronization it causes in the microgrid.","PeriodicalId":213523,"journal":{"name":"2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123424818","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: 8

Short-term Electric Load Prediction Using Multiple Linear Regression Method 基于多元线性回归方法的短期电力负荷预测

2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) Pub Date : 2018-10-01 DOI: 10.1109/SmartGridComm.2018.8587489

Juntae Kim, Seokheon Cho, Kabseok Ko, R. Rao

引用次数: 17

Performing a Virtual Field Test of a New Monitoring Method for Smart Power Grids 智能电网监测新方法的虚拟现场试验

2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) Pub Date : 2018-10-01 DOI: 10.1109/SmartGridComm.2018.8587551

J. Menke, F. Schäfer, M. Braun

{"title":"Performing a Virtual Field Test of a New Monitoring Method for Smart Power Grids","authors":"J. Menke, F. Schäfer, M. Braun","doi":"10.1109/SmartGridComm.2018.8587551","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2018.8587551","url":null,"abstract":"This paper presents a virtual field test to evaluate the performance of a new grid monitoring method using artificial neural networks (ANN) under realistic operating conditions. The ANN monitoring method is able to accurately estimate voltage magnitudes of distribution grids with high penetration of distributed generators without the need for a redundant amount of measurements. The simulation framework OpSim allows a logical separation of a grid simulator and a simple distribution grid control center to create a realistic testing environment. A CIGRE benchmark grid with diverse distributed energy resources and corresponding time series is used in a grid simulator. Measurements are derived from the simulator and sent to the control center via the simulation message bus. The ANN monitoring method makes use of the measurements to estimate all bus voltage magnitudes. These can, in turn, be used by a transformer tap controller to control the overall voltage profile of the grid to stay within desired limits. Transformer tap set points are returned to the grid simulator if limits are violated. The performance of both the monitoring method and its impact on the tap controller are evaluated under normal operation, bad data and delayed measurement cases. Results show that the ANN monitoring method works reliably and accurately.","PeriodicalId":213523,"journal":{"name":"2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121295160","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

Service Abstraction Layer for Building Operating Systems: Enabling portable applications and improving system resilience 用于构建操作系统的服务抽象层:支持可移植应用程序并提高系统弹性

2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) Pub Date : 2018-10-01 DOI: 10.1109/SmartGridComm.2018.8587543

Jakob Hviid, M. Kjærgaard

{"title":"Service Abstraction Layer for Building Operating Systems: Enabling portable applications and improving system resilience","authors":"Jakob Hviid, M. Kjærgaard","doi":"10.1109/SmartGridComm.2018.8587543","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2018.8587543","url":null,"abstract":"For large scale implementation of Demand Response programs, applications enabling Demand Response would need to be portable between buildings. Building Operating Systems are an essential strategic piece for enabling portable applications, which work with several hardware implementations from different vendors. These building operating systems can effectively be used to implement large-scale Demand Response implementations. Currently, though, the service layer of building operating systems requires direct integration with specific services, and thereby have requirements for specific implementations of services to be present in a specific building. This paper proposes the introduction of a Service Abstraction Layer to decouple the application from the specific implementations of services, as well as to introduce the concept of redundancy in service responsibility areas. These changes would allow for application portability between buildings but also allow for building operating system resiliency.A prototype abstraction layer is implemented and tested. Results show the introduction of a Service Abstraction Layer has promising benefits for building operating systems, and successfully decouples the applications from the building operating system implementation, as well as improving system reliability and resiliency. For smart grid applications, the addition of a service abstraction layer allows for large-scale portable applications, but would still require some form of standardization of communication protocols for different service types.","PeriodicalId":213523,"journal":{"name":"2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116387307","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

Feasible Region of Coupling Multi-Energy System: Modeling, Characterization and Visualization 耦合多能系统可行域:建模、表征与可视化

2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) Pub Date : 2018-10-01 DOI: 10.1109/SmartGridComm.2018.8587515

Yong-Feng Zhang, H. Chiang, Jia Su

引用次数: 2

Bayesian Detection of Islanding Events Using Voltage Angle Measurements 基于电压角测量的孤岛事件贝叶斯检测

2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) Pub Date : 2018-10-01 DOI: 10.1109/SmartGridComm.2018.8587561

T. Rabuzin, Jan Lavenius, N. Taylor, L. Nordström

引用次数: 1

Towards Concise Models of Grid Stability 电网稳定的简明模型

2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) Pub Date : 2018-10-01 DOI: 10.1109/SmartGridComm.2018.8587498

Vadim Arzamasov, Klemens Böhm, P. Jochem

引用次数: 65

Adjusted Feature-Aware k-Nearest Neighbors: Utilizing Local Permutation-Based Error for Short-Term Residential Building Load Forecasting 调整特征感知的k近邻:利用基于局部排列的误差进行短期住宅建筑负荷预测

2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) Pub Date : 2018-10-01 DOI: 10.1109/SmartGridComm.2018.8587534

M. Vos, Asmaa Haja, S. Albayrak

引用次数: 5

Electrical Appliance Classification using Deep Convolutional Neural Networks on High Frequency Current Measurements 基于深度卷积神经网络的高频电流测量电器分类

2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) Pub Date : 2018-10-01 DOI: 10.1109/SmartGridComm.2018.8587452

Daniel Jorde, Thomas Kriechbaumer, H. Jacobsen

引用次数: 7