{"title":"轴系力学参数不确定性对高压直流电网最大扭矩的影响","authors":"A. Adrees, J. Milanović","doi":"10.1109/TDC.2012.6281542","DOIUrl":null,"url":null,"abstract":"The paper presents analysis of the torsional torques of a turbine generator rotor system in a meshed AC network with monopolar HVDC link following symmetrical and asymmetrical faults. The emphasis of the work is on establishing the influence of uncertainties in the mechanical parameters of turbine-generator shaft system on maximum torsional torques. Three loading conditions of turbine generator are considered and different types of faults are simulated for each loading condition. A full multi stage turbine model, a four machine meshed AC network and a classical, Line Current Commutated, HVDC system model are developed in DIgSILENT Power Factory environment. Uncertainties in mechanical parameters of turbine-generator shafts are modeled using probability density functions to assess more realistically their effects on maximum torsional torques.","PeriodicalId":19873,"journal":{"name":"PES T&D 2012","volume":"24 1","pages":"1-8"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Effects of uncertainties in shaft mechanical parameters on maximum torsional torques in meshed networks with HVDC lines\",\"authors\":\"A. Adrees, J. Milanović\",\"doi\":\"10.1109/TDC.2012.6281542\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents analysis of the torsional torques of a turbine generator rotor system in a meshed AC network with monopolar HVDC link following symmetrical and asymmetrical faults. The emphasis of the work is on establishing the influence of uncertainties in the mechanical parameters of turbine-generator shaft system on maximum torsional torques. Three loading conditions of turbine generator are considered and different types of faults are simulated for each loading condition. A full multi stage turbine model, a four machine meshed AC network and a classical, Line Current Commutated, HVDC system model are developed in DIgSILENT Power Factory environment. Uncertainties in mechanical parameters of turbine-generator shafts are modeled using probability density functions to assess more realistically their effects on maximum torsional torques.\",\"PeriodicalId\":19873,\"journal\":{\"name\":\"PES T&D 2012\",\"volume\":\"24 1\",\"pages\":\"1-8\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-05-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"PES T&D 2012\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TDC.2012.6281542\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"PES T&D 2012","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TDC.2012.6281542","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
摘要
本文分析了具有单极直流线路的网状交流网络中,对称故障和不对称故障对汽轮发电机转子系统的扭矩影响。重点研究了汽轮发电机轴系力学参数的不确定性对最大扭矩的影响。考虑了汽轮发电机的三种加载工况,并针对每种加载工况模拟了不同类型的故障。在DIgSILENT Power Factory环境中开发了全多级涡轮模型、四机网格交流网络和经典的线电流换流HVDC系统模型。利用概率密度函数对汽轮发电机轴系力学参数的不确定性进行建模,以更真实地评估其对最大扭矩的影响。
Effects of uncertainties in shaft mechanical parameters on maximum torsional torques in meshed networks with HVDC lines
The paper presents analysis of the torsional torques of a turbine generator rotor system in a meshed AC network with monopolar HVDC link following symmetrical and asymmetrical faults. The emphasis of the work is on establishing the influence of uncertainties in the mechanical parameters of turbine-generator shaft system on maximum torsional torques. Three loading conditions of turbine generator are considered and different types of faults are simulated for each loading condition. A full multi stage turbine model, a four machine meshed AC network and a classical, Line Current Commutated, HVDC system model are developed in DIgSILENT Power Factory environment. Uncertainties in mechanical parameters of turbine-generator shafts are modeled using probability density functions to assess more realistically their effects on maximum torsional torques.