EMS的实时概率安全风险评估

Jifeng Wang, Yinsheng Su, Jianshe Li, C. Jing, Di Shi
{"title":"EMS的实时概率安全风险评估","authors":"Jifeng Wang, Yinsheng Su, Jianshe Li, C. Jing, Di Shi","doi":"10.1109/TDC.2014.6863338","DOIUrl":null,"url":null,"abstract":"An online risk-based security assessment system-Probabilistic Security Risk Assessment (PSRA) has been developed and implemented at China Southern Power Grid. PSRA calculates the probability or likelihood of each undesirable event in the transmission system and evaluates the corresponding severity. In PSRA, the probability measure of each undesirable event is combined with the consequence measure into a single reliability index-Probabilistic Loss of Load Index. When power system is insecure, optimal generation re-dispatch is implemented to ensure the system goes back to the secure region. Under emergency conditions, when generation re-dispatch alone is not enough, load shedding will be enforced to bring the system back to the security region. Weak point analysis is developed and used to identify the buses and branches that are most vulnerable. Online implementation of PSRA is also discussed and it is concluded that the proposed probabilistic reliability analysis is much more accurate than traditional methods and it provides system operators the capability to make faster trade-off decisions between economy and technical constraints.","PeriodicalId":161074,"journal":{"name":"2014 IEEE PES T&D Conference and Exposition","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Real time probabilistic security risk assessment at an EMS\",\"authors\":\"Jifeng Wang, Yinsheng Su, Jianshe Li, C. Jing, Di Shi\",\"doi\":\"10.1109/TDC.2014.6863338\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An online risk-based security assessment system-Probabilistic Security Risk Assessment (PSRA) has been developed and implemented at China Southern Power Grid. PSRA calculates the probability or likelihood of each undesirable event in the transmission system and evaluates the corresponding severity. In PSRA, the probability measure of each undesirable event is combined with the consequence measure into a single reliability index-Probabilistic Loss of Load Index. When power system is insecure, optimal generation re-dispatch is implemented to ensure the system goes back to the secure region. Under emergency conditions, when generation re-dispatch alone is not enough, load shedding will be enforced to bring the system back to the security region. Weak point analysis is developed and used to identify the buses and branches that are most vulnerable. Online implementation of PSRA is also discussed and it is concluded that the proposed probabilistic reliability analysis is much more accurate than traditional methods and it provides system operators the capability to make faster trade-off decisions between economy and technical constraints.\",\"PeriodicalId\":161074,\"journal\":{\"name\":\"2014 IEEE PES T&D Conference and Exposition\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-04-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE PES T&D Conference and Exposition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TDC.2014.6863338\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE PES T&D Conference and Exposition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TDC.2014.6863338","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

南方电网开发并实施了基于风险的在线安全评估系统——概率安全风险评估(PSRA)。PSRA计算传输系统中每个不良事件的概率或可能性,并评估相应的严重程度。在PSRA中,将每个不良事件的概率度量与后果度量组合成一个单一的可靠性指标——负载概率损失指标。当电力系统处于不安全状态时,通过优化发电再调度,保证系统回到安全区域。在紧急情况下,当仅仅重新调度发电机组是不够的,将强制进行减载,使系统回到安全区域。弱点分析被开发并用于识别最易受攻击的总线和分支。本文还讨论了PSRA的在线实施,得出的结论是,所提出的概率可靠性分析比传统方法更准确,并为系统操作员提供了更快地在经济和技术约束之间做出权衡决策的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real time probabilistic security risk assessment at an EMS
An online risk-based security assessment system-Probabilistic Security Risk Assessment (PSRA) has been developed and implemented at China Southern Power Grid. PSRA calculates the probability or likelihood of each undesirable event in the transmission system and evaluates the corresponding severity. In PSRA, the probability measure of each undesirable event is combined with the consequence measure into a single reliability index-Probabilistic Loss of Load Index. When power system is insecure, optimal generation re-dispatch is implemented to ensure the system goes back to the secure region. Under emergency conditions, when generation re-dispatch alone is not enough, load shedding will be enforced to bring the system back to the security region. Weak point analysis is developed and used to identify the buses and branches that are most vulnerable. Online implementation of PSRA is also discussed and it is concluded that the proposed probabilistic reliability analysis is much more accurate than traditional methods and it provides system operators the capability to make faster trade-off decisions between economy and technical constraints.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信