Clustering-based reliability assessment of smart grids by fuzzy c-means algorithm considering direct cyber–physical interdependencies and system uncertainties
Author:
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Control and Systems Engineering
Reference79 articles.
1. Reliability evaluation of smart microgrids considering cyber failures and disturbances under various cyber network topologies and distributed generation’s scenarios;Aslani;Sustainability,2021
2. Surveys on the reliability impacts of power system cyber–physical layers;Jimada-Ojuolape;Sustainable Cities Soc.,2020
3. A survey on cybersecurity, data privacy, and policy issues in cyber–physical system deployments in smart cities;Habibzadeh;Sustainable Cities Soc.,2019
4. Direct cyber-power interdependencies-based reliability evaluation of smart grids including wind/solar/diesel distributed generations and plug-in hybrid electrical vehicles;Hashemi-Dezaki;Int. J. Electr. Power Energy Syst.,2017
5. Blockchain technology in the future smart grids: A comprehensive review and frameworks;Hasankhani;Int. J. Electr. Power Energy Syst.,2021
Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A review of uncertainty management approaches for active distribution system planning;Renewable and Sustainable Energy Reviews;2024-11
2. Reliability Evaluation of Distribution Network with Electric Vehicles and Distributed Generations Based on Network Equivalence and Sequential Monte Carlo Method;Journal of Energy Engineering;2024-08
3. Optimized allocation of microgrids’ distributed generations and electric vehicle charging stations considering system uncertainties by clustering algorithms;IET Renewable Power Generation;2024-07-09
4. Multi-objectives transmission expansion planning considering energy storage systems and high penetration of renewables and electric vehicles under uncertain conditions;Energy Reports;2024-06
5. Reliability Analysis of Cyber–Physical Energy Hubs: A Monte Carlo Approach;IEEE Transactions on Smart Grid;2024-01
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3