{"title":"多相传输线系统模型降阶技术的比较","authors":"C. Ramlal, S. Ibrir, Arvind Singh, Sean Rocke","doi":"10.1109/CICN.2016.95","DOIUrl":null,"url":null,"abstract":"Transmission line models for simulations are necessaryfor designing and controlling modern power systems. However, the orders of these models are very large and theirsimulations are recognized to be computationally intensive. Thispaper compares ten model-order reduction methods with eightmeasures for a three phase transmission line system. Two testcases were developed, the first forces all model-order reductionmethods to reduce the original system to a reduced system withthe same order and the second keeps a constant chosen errorbound and compares the performance of the reduced obtainedsystems. The main differences between the different proceduresare identified and illustrated on quantitative levels.","PeriodicalId":189849,"journal":{"name":"2016 8th International Conference on Computational Intelligence and Communication Networks (CICN)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A Comparison of Model-Order Reduction Techniques for Multiphase Transmission Line Systems\",\"authors\":\"C. Ramlal, S. Ibrir, Arvind Singh, Sean Rocke\",\"doi\":\"10.1109/CICN.2016.95\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Transmission line models for simulations are necessaryfor designing and controlling modern power systems. However, the orders of these models are very large and theirsimulations are recognized to be computationally intensive. Thispaper compares ten model-order reduction methods with eightmeasures for a three phase transmission line system. Two testcases were developed, the first forces all model-order reductionmethods to reduce the original system to a reduced system withthe same order and the second keeps a constant chosen errorbound and compares the performance of the reduced obtainedsystems. The main differences between the different proceduresare identified and illustrated on quantitative levels.\",\"PeriodicalId\":189849,\"journal\":{\"name\":\"2016 8th International Conference on Computational Intelligence and Communication Networks (CICN)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 8th International Conference on Computational Intelligence and Communication Networks (CICN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CICN.2016.95\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 8th International Conference on Computational Intelligence and Communication Networks (CICN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CICN.2016.95","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Comparison of Model-Order Reduction Techniques for Multiphase Transmission Line Systems
Transmission line models for simulations are necessaryfor designing and controlling modern power systems. However, the orders of these models are very large and theirsimulations are recognized to be computationally intensive. Thispaper compares ten model-order reduction methods with eightmeasures for a three phase transmission line system. Two testcases were developed, the first forces all model-order reductionmethods to reduce the original system to a reduced system withthe same order and the second keeps a constant chosen errorbound and compares the performance of the reduced obtainedsystems. The main differences between the different proceduresare identified and illustrated on quantitative levels.