Use of Synthetic Wind Power Time Series for Long-term Voltage Stability Analysis

I. Granitsas, T. Souxes, C. Vournas, M. Koivisto, M. Sarkar, P. Sørensen
{"title":"Use of Synthetic Wind Power Time Series for Long-term Voltage Stability Analysis","authors":"I. Granitsas, T. Souxes, C. Vournas, M. Koivisto, M. Sarkar, P. Sørensen","doi":"10.1109/PMAPS47429.2020.9183647","DOIUrl":null,"url":null,"abstract":"In this paper two types of synthetic wind power time series are used to assess the effect of wind variability in the long-term voltage stability assessment of a power system. A wind power time series is generated using the wind simulation tool CorWind, which is based on power spectral density. This time series is then used as input to develop a Markov model for wind power simulation. Both the CorWind time series and randomly generated time series using the Markov model are then applied to a simple power system and the effect of wind variability on the maximum power transfer to a remote load is investigated.","PeriodicalId":126918,"journal":{"name":"2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PMAPS47429.2020.9183647","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

In this paper two types of synthetic wind power time series are used to assess the effect of wind variability in the long-term voltage stability assessment of a power system. A wind power time series is generated using the wind simulation tool CorWind, which is based on power spectral density. This time series is then used as input to develop a Markov model for wind power simulation. Both the CorWind time series and randomly generated time series using the Markov model are then applied to a simple power system and the effect of wind variability on the maximum power transfer to a remote load is investigated.
综合风力发电时间序列用于长期电压稳定性分析
本文采用两类综合风电时间序列来评估风变率对电力系统长期电压稳定性评估的影响。利用风力模拟工具CorWind生成基于功率谱密度的风电时间序列。然后将该时间序列作为输入,建立风电仿真的马尔可夫模型。然后将CorWind时间序列和随机生成的马尔可夫时间序列应用于一个简单的电力系统,研究了风变率对最大功率向远程负荷转移的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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