{"title":"On the Impact of Topology on Power System Transient and Frequency Stability","authors":"F. Ebrahimzadeh, Muhammad Adeen, F. Milano","doi":"10.1109/EEEIC.2019.8783880","DOIUrl":null,"url":null,"abstract":"This paper presents a statistical study on the impact of topology of the transmission system on the transient and frequency stability of power systems. We consider four topologies: random graph; small-world graph; nested small-world graph; and lattice graph. These graphs are utilized to generate hundreds of synthetic networks with given topology and adequately generated static and dynamic data. Then, each network is simulated based on a Monte Carlo method and considering random contingencies and different levels of inertia. The case study allows drawing some remarkable conclusions on the correlation between power system stability and topology.","PeriodicalId":422977,"journal":{"name":"2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EEEIC.2019.8783880","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
This paper presents a statistical study on the impact of topology of the transmission system on the transient and frequency stability of power systems. We consider four topologies: random graph; small-world graph; nested small-world graph; and lattice graph. These graphs are utilized to generate hundreds of synthetic networks with given topology and adequately generated static and dynamic data. Then, each network is simulated based on a Monte Carlo method and considering random contingencies and different levels of inertia. The case study allows drawing some remarkable conclusions on the correlation between power system stability and topology.
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