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

Accurate Disaggregation of Chiller Plant Loads Using Noisy Magnetic Field Measurements 利用噪声磁场测量对冷水机组负荷进行精确分解

2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) Pub Date : 2020-11-11 DOI: 10.1109/SmartGridComm47815.2020.9303024

C. Hau, Binbin Chen, Ziling Zhou, W. G. Temple

{"title":"Accurate Disaggregation of Chiller Plant Loads Using Noisy Magnetic Field Measurements","authors":"C. Hau, Binbin Chen, Ziling Zhou, W. G. Temple","doi":"10.1109/SmartGridComm47815.2020.9303024","DOIUrl":"https://doi.org/10.1109/SmartGridComm47815.2020.9303024","url":null,"abstract":"Chiller plants consume a significant amount of energy around the world. While there have been well established systems for monitoring their performance, those existing systems are expensive and difficult to install. In this work, we propose a low-cost and non-intrusive approach to achieve accurate monitoring of individual loads in a chiller plant. Our proposed system complements the in-situ aggregated power measurement with additional magnetic field measurements near individual branches using non-intrusive Anisotropic Magnetoresistive (AMR) sensors. AMR sensor measurements help disaggregate smaller pump loads in the system. However, they are subject to various noise from the environment, which can significantly lower the estimation accuracy. To overcome this, we design a novel hybrid solution that combines the AMR-based method with a multi-layer neural network (MLNN)-based method. Specifically, we use filtered outputs (under some quality check) from the AMR-based method to help train the MLNN, and then we combine the outputs from both the AMR-based method and the MLNN-based method to achieve better estimation results. We tested our proposed solution using real world power consumption traces collected from the chiller plant of a six-story commercial building, and under varying level of environmental noise. Our approach can robustly achieve low mean-absolute error (1% for the chiller component and 3% for individual water pump loads).","PeriodicalId":428461,"journal":{"name":"2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"282 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":"114944529","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

ML-based Data Anomaly Mitigation and Cyber-Power Transmission Resiliency Analysis 基于ml的数据异常缓解与网络电力传输弹性分析

2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) Pub Date : 2020-11-11 DOI: 10.1109/SmartGridComm47815.2020.9302953

Zhijie Nie Anshuman, K. S. Sajan, A. Srivastava

{"title":"ML-based Data Anomaly Mitigation and Cyber-Power Transmission Resiliency Analysis","authors":"Zhijie Nie Anshuman, K. S. Sajan, A. Srivastava","doi":"10.1109/SmartGridComm47815.2020.9302953","DOIUrl":"https://doi.org/10.1109/SmartGridComm47815.2020.9302953","url":null,"abstract":"In recent years, the cyber and physical extreme events have increased and impacted the power system operations. Although there are multiple work reported for improving the resiliency of the power grid systems, there are a limited number of resiliency management tools available to the grid operators. Addressing the data quality issue is critical before feeding the measurements for situational awareness and decision-making using resiliency management tools. In this work, we describe an automated ML-based measurement data anomaly mitigation technique that uses regression, clustering, deep learning techniques as a base detector. Maximum Likelihood Criterion (MLE) based ensemble of these base detectors helps in anomaly detection and mitigation using SyncAED tool and feeding data for enhanced resiliency using a tool: Cyber-Physical Transmission Resiliency Assessment Metric (CP-TRAM). CP-TRAM utilizes real-time power grid data and aims to assist operators in measuring resiliency and ensuring the energy supply to critical loads given a cyber-attack or a natural disaster. This paper discusses the multiple ML algorithms for data anomaly detection, the basis of software design considerations, open-source software components, and use cases for the prototype developed tools.","PeriodicalId":428461,"journal":{"name":"2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"37 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":"114487773","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

PMU and Communication Infrastructure Restoration for Post-Attack Observability Recovery of Power Grids 电网攻击后可观测性恢复的PMU与通信基础设施恢复

2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) Pub Date : 2020-11-11 DOI: 10.1109/SmartGridComm47815.2020.9303014

S. N. Edib, Yuzhang Lin, V. Vokkarane, F. Qiu, Rui Yao, Dongbo Zhao

引用次数: 2

Cyber-Resilience Enhancement of PMU Networks Using Software-Defined Networking 利用软件定义网络增强PMU网络的网络弹性

2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) Pub Date : 2020-11-11 DOI: 10.1109/SmartGridComm47815.2020.9303004

Y. Qu, Gong Chen, Xin Liu, Jiaqi Yan, Bo Chen, Dong Jin

引用次数: 5

An Incentive Compatible Market Mechanism for Integrating Demand Response into Power Systems 需求响应与电力系统集成的激励兼容市场机制

2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) Pub Date : 2020-11-11 DOI: 10.1109/SmartGridComm47815.2020.9302965

Ce Xu, Hossein Khazaei, Yue Zhao

引用次数: 1

ED4GAP: Efficient Detection for GOOSE-Based Poisoning Attacks on IEC 61850 Substations ED4GAP:高效检测基于goose的IEC 61850变电站中毒攻击

2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) Pub Date : 2020-11-11 DOI: 10.1109/SmartGridComm47815.2020.9303015

Atul Bohara, Jordi Ros-Giralt, Ghada Elbez, A. Valdes, K. Nahrstedt, W. Sanders

{"title":"ED4GAP: Efficient Detection for GOOSE-Based Poisoning Attacks on IEC 61850 Substations","authors":"Atul Bohara, Jordi Ros-Giralt, Ghada Elbez, A. Valdes, K. Nahrstedt, W. Sanders","doi":"10.1109/SmartGridComm47815.2020.9303015","DOIUrl":"https://doi.org/10.1109/SmartGridComm47815.2020.9303015","url":null,"abstract":"Devices in IEC 61850 substations use the generic object-oriented substation events (GOOSE) protocol to exchange protection-related events. Because of its lack of authentication and encryption, GOOSE is vulnerable to man-in-the-middle attacks. An adversary with access to the substation network can inject carefully crafted messages to impact the grid's availability. One of the most common such attacks, GOOSE-based poisoning, modifies the StNum and SqNum fields in the protocol data unit to take over GOOSE publications. We present ED4GAP, a network- level system for efficient detection of the poisoning attacks. We define a finite state machine model for network communication concerning the attacks. Guided by the model, ED4GAP analyzes network traffic out-of-band and detects attacks in real-time. We implement a prototype of the system and evaluate its detection accuracy. We provide a systematic approach to assessing bottlenecks, improving performance, and demonstrating that ED4GAP has low overhead and meets GOOSE's timing constraints.","PeriodicalId":428461,"journal":{"name":"2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"18 3 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":"116341940","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: 10

Distributed Inter-Area Oscillation Damping Control via Dynamic Average Consensus Algorithm 基于动态平均一致性算法的分布式区域间振荡阻尼控制

2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) Pub Date : 2020-11-11 DOI: 10.1109/SmartGridComm47815.2020.9302945

P. Macedo, Shailesh Wasti, V. Disfani

引用次数: 1

Development of HELICS-based High-Performance Cyber-Physical Co-simulation Framework for Distributed Energy Resources Applications 分布式能源应用中基于hils的高性能信息物理协同仿真框架的开发

2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) Pub Date : 2020-11-11 DOI: 10.1109/SmartGridComm47815.2020.9302977

Jianhua Zhang, J. Daily, Ryan Mast, B. Palmintier, D. Krishnamurthy, Tarek Elgindy, A. Florita, B. Hodge

引用次数: 6

An Extensible Software and Communication Platform for Distributed Energy Resource Management 分布式能源管理的可扩展软件与通信平台

2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) Pub Date : 2020-11-11 DOI: 10.1109/SmartGridComm47815.2020.9303006

Gabe Fierro, Keith Moffat, Jasper Pakshong, A. V. Meier

引用次数: 2

Decision Trees for Voltage Stability Assessment 电压稳定性评估的决策树

2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) Pub Date : 2020-11-11 DOI: 10.1109/SmartGridComm47815.2020.9302952

V. S. N. Arava, L. Vanfretti

{"title":"Decision Trees for Voltage Stability Assessment","authors":"V. S. N. Arava, L. Vanfretti","doi":"10.1109/SmartGridComm47815.2020.9302952","DOIUrl":"https://doi.org/10.1109/SmartGridComm47815.2020.9302952","url":null,"abstract":"This paper proposes two different methods to train the DTs for voltage stability assessment, which in turn can aid in deriving preventive actions that can be given as recommendations to system operators or automatic load shedding schemes. In the voltage stability indices method, the DTs are trained on contingency cases that are classified based on voltage stability indices. In the region classification method, the DTs are trained on a new classification criterion that enlarges and generalizes the existing security boundary method of \"stable\" and \"unstable\" regions to a more granular operating space based on the distance from the nearest Saddle-Node Bifurcation. Case studies were performed using the Nordic 32 system for different contingency cases, several operating conditions and different network configurations. The ability to classify the degree of voltage stability of a multitude of operation conditions could be useful to aid operators in selecting and applying preventive measures to steer away the system from unstable conditions or conditions that are close to breaching operational requirements w.r.t. voltage stability.","PeriodicalId":428461,"journal":{"name":"2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"57 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":"117122519","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