2021 Resilience Week (RWS)最新文献

Resilience Week 弹性周

2021 Resilience Week (RWS) Pub Date : 2021-10-18 DOI: 10.1109/RWS52686.2021.9611815

引用次数: 0

Data-Driven Suitability Analysis to Enable Machine Learning Explainability and Security 数据驱动的适用性分析，以实现机器学习的可解释性和安全性

2021 Resilience Week (RWS) Pub Date : 2021-10-18 DOI: 10.1109/RWS52686.2021.9611792

Shaya Wolf, Rita Foster, Jedediah Haile, M. Borowczak

引用次数: 0

A Cyber-Resilience Risk Management Architecture for Distributed Wind 分布式风电网络弹性风险管理体系结构

2021 Resilience Week (RWS) Pub Date : 2021-10-18 DOI: 10.1109/RWS52686.2021.9611786

Megan Culler, Sean Morash, Brian Smith, F. Cleveland, J. Gentle

{"title":"A Cyber-Resilience Risk Management Architecture for Distributed Wind","authors":"Megan Culler, Sean Morash, Brian Smith, F. Cleveland, J. Gentle","doi":"10.1109/RWS52686.2021.9611786","DOIUrl":"https://doi.org/10.1109/RWS52686.2021.9611786","url":null,"abstract":"Distributed wind is an electric energy resource segment with strong potential to be deployed in many applications, but special consideration of resilience and cybersecurity is needed to address the unique conditions associated with distributed wind. Distributed wind is a strong candidate to help meet renewable energy and carbon-free energy goals. However, care must be taken as more systems are installed to ensure that the systems are reliable, resilient, and secure. The physical and communications requirements for distributed wind mean that there are unique cybersecurity considerations, but there is little to no existing guidance on best practices for cybersecurity risk management for distributed wind systems specifically. This research develops an architecture for managing cyber risks associated with distributed wind systems through resilience functions. The architecture takes into account the configurations, challenges, and standards for distributed wind to create a risk-focused perspective that considers threats, vulnerabilities, and consequences. We show how the resilience functions of identification, preparation, detection, adaptation, and recovery can mitigate cyber threats. We discuss common distributed wind architectures and interconnections to larger power systems. Because cybersecurity cannot exist independently, the cyber-resilience architecture must consider the system holistically. Finally, we discuss risk assessment recommendations with special emphasis on what sets distributed wind systems apart from other distributed energy resources (DER).","PeriodicalId":294639,"journal":{"name":"2021 Resilience Week (RWS)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114705772","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

A Methodology for Assessing Risk to Inform Technology Integration 为技术集成提供信息的风险评估方法

2021 Resilience Week (RWS) Pub Date : 2021-10-18 DOI: 10.1109/RWS52686.2021.9611794

C. Fallon, Eva Brayfindley, Katherine Arneson, R. Brigantic, Mallory C. Stites, Liza Kittinger

引用次数: 1

Leveraging STIX for Actionable Intelligence and Automated Response 利用STIX实现可操作的智能和自动响应

2021 Resilience Week (RWS) Pub Date : 2021-10-18 DOI: 10.1109/RWS52686.2021.9611811

Christian O. Hunt

引用次数: 0

Resilient Recovery Features of Offshore Wind Farm with Maintenance Service 海上风电场弹性恢复特性及维护服务

2021 Resilience Week (RWS) Pub Date : 2021-10-18 DOI: 10.1109/RWS52686.2021.9611808

Bartosz Skobiei, A. Niemi, Nikolai Kulev, F. S. Torres

引用次数: 2

Cyber-Physical Security Assessment and Resilience of a Microgrid Testbed 微电网试验台网络物理安全评估与弹性

2021 Resilience Week (RWS) Pub Date : 2021-10-18 DOI: 10.1109/RWS52686.2021.9611806

S. Ahmed-Zaid, S. Loo, Andres Valdepena-Delgado, Theron Beam

引用次数: 2

Continuous Infrastructure Assessment for Key Business Functions in Changing Environments 在不断变化的环境中对关键业务功能进行持续的基础设施评估

2021 Resilience Week (RWS) Pub Date : 2021-10-18 DOI: 10.1109/RWS52686.2021.9611809

G. Weaver, Timothy M. Yardley, David Emmerich

引用次数: 1

Statistical Evaluation of Flooding Impact on Power System Restoration Following a Hurricane 飓风后洪水对电力系统恢复影响的统计评估

2021 Resilience Week (RWS) Pub Date : 2021-10-18 DOI: 10.1109/RWS52686.2021.9611804

Grant Cruse, A. Kwasinski

{"title":"Statistical Evaluation of Flooding Impact on Power System Restoration Following a Hurricane","authors":"Grant Cruse, A. Kwasinski","doi":"10.1109/RWS52686.2021.9611804","DOIUrl":"https://doi.org/10.1109/RWS52686.2021.9611804","url":null,"abstract":"Historically, hurricanes have been a major cause of devastation and widespread power outages in many areas of the United States. Since the 1970s, several popular methods for estimating hurricane intensity have been developed, but these have tended to focus solely on the amount of damage and outages that can be expected rather than the amount of time that will be required to restore power. Additionally, these methods allow for the inclusion of only a small number of variables, such as wind speeds and storm surge. In the past, four metrics that describe the damage sustained by and the restoration times required for power systems that are affected by hurricanes were proposed as alternatives to the existing methods for estimating hurricane damage. These were maximum outage incidence, restoration times for 95% and 98% of the total number of outages, and average outage duration. Regression curves were generated by relating these indices to four variables that describe the intensity of the storms. The results showed that the generated curves fit the measured data very well, but they also seemed to suggest that there are other factors that may affect the metrics. In this work, three additional variables were included in the models to examine the impact of flooding on the metrics, particularly the amount of time that is required to restore outages. These were the flooded area in a county, the time until flood waters in a county receded, and the total area flooded by the hurricane.","PeriodicalId":294639,"journal":{"name":"2021 Resilience Week (RWS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122186913","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

Quantifying Resilience Value of Solar plus Storage in City of Reno 量化里诺市太阳能+储能系统的弹性值

2021 Resilience Week (RWS) Pub Date : 2021-10-18 DOI: 10.1109/RWS52686.2021.9611787

M. Benidris, T. Bhusal, Michael Abdelmalak, Mukesh Gautam, M. Egan, Suzanne Groneman, T. Farkas

{"title":"Quantifying Resilience Value of Solar plus Storage in City of Reno","authors":"M. Benidris, T. Bhusal, Michael Abdelmalak, Mukesh Gautam, M. Egan, Suzanne Groneman, T. Farkas","doi":"10.1109/RWS52686.2021.9611787","DOIUrl":"https://doi.org/10.1109/RWS52686.2021.9611787","url":null,"abstract":"This paper summarizes the development and implementation of resilience valuation metrics for solar plus storage in the City of Reno. The proposed resilience valuation metrics are intended to assist local governments, policy makers, and building owners in making well-informed decisions and plans for resilience enhancement of power supply. The valuation metrics are developed based on historical data of extreme events, historical outage data, cost of outages, and classifications of critical loads to determine the likelihood, expected duration, and average cost of outages. Events that last for less than 24 hours are not considered in developing metrics for resilience valuation. The proposed approach enables resilience valuation based on selected parameters such as sites, types and characteristics of critical loads, and size of solar and energy storage systems. The ten regions in the continental United States and territories identified by the Federal Emergency Management Agency (FEMA) are used to classify types of extreme events at different locations. Although resilience value of solar plus storage alone may not justify investments in some resilience enhancement projects, the stacked value (resilience value, revenue, avoided costs, etc.) of solar plus storage during their lifetime will be an important measure in weighting different investment alternatives. The proposed resilience valuation approach is demonstrated on a Public Safety Center in City of Reno.","PeriodicalId":294639,"journal":{"name":"2021 Resilience Week (RWS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134070742","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