{"title":"一种改进的快速解耦潮流收敛改进最小化技术","authors":"A. Berizzi, A. Silvestri, D. Zaninelli","doi":"10.1002/ETEP.4450060310","DOIUrl":null,"url":null,"abstract":"This paper describes an efficient and reliable algorithm that modifies the Fast Decoupled Load Flow (FDLF) in order to overcome non-convergence troubles in solving strongly stressed power systems. The Hartkopf's algorithm for improving the Newton-Raphson method's convergence features in ill-conditioned cases is taken as a basis. The proposed changes to FDLF consist fundamentally in minimizing the squared power mismatches with a second order interpolation technique. The simple modification makes it possible to establish for sure whether a case of non-convergence is owing to numerical or to physical problems, and lets the operator evaluate the system condition correctly. Several numerical examples show the remarkable behaviour of the algorithm proposed.","PeriodicalId":50474,"journal":{"name":"European Transactions on Electrical Power","volume":"35 1","pages":"201-206"},"PeriodicalIF":0.0000,"publicationDate":"2007-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/ETEP.4450060310","citationCount":"1","resultStr":"{\"title\":\"Convergence improving minimization technique for a modified fast decoupled load flow\",\"authors\":\"A. Berizzi, A. Silvestri, D. Zaninelli\",\"doi\":\"10.1002/ETEP.4450060310\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes an efficient and reliable algorithm that modifies the Fast Decoupled Load Flow (FDLF) in order to overcome non-convergence troubles in solving strongly stressed power systems. The Hartkopf's algorithm for improving the Newton-Raphson method's convergence features in ill-conditioned cases is taken as a basis. The proposed changes to FDLF consist fundamentally in minimizing the squared power mismatches with a second order interpolation technique. The simple modification makes it possible to establish for sure whether a case of non-convergence is owing to numerical or to physical problems, and lets the operator evaluate the system condition correctly. Several numerical examples show the remarkable behaviour of the algorithm proposed.\",\"PeriodicalId\":50474,\"journal\":{\"name\":\"European Transactions on Electrical Power\",\"volume\":\"35 1\",\"pages\":\"201-206\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-09-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1002/ETEP.4450060310\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Transactions on Electrical Power\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1002/ETEP.4450060310\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Transactions on Electrical Power","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/ETEP.4450060310","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Convergence improving minimization technique for a modified fast decoupled load flow
This paper describes an efficient and reliable algorithm that modifies the Fast Decoupled Load Flow (FDLF) in order to overcome non-convergence troubles in solving strongly stressed power systems. The Hartkopf's algorithm for improving the Newton-Raphson method's convergence features in ill-conditioned cases is taken as a basis. The proposed changes to FDLF consist fundamentally in minimizing the squared power mismatches with a second order interpolation technique. The simple modification makes it possible to establish for sure whether a case of non-convergence is owing to numerical or to physical problems, and lets the operator evaluate the system condition correctly. Several numerical examples show the remarkable behaviour of the algorithm proposed.