Maciej Soltysiak, P. Kolendo, Michal Szuca, Tomasz Ogryczak
{"title":"国网发电机无功控制范围扩展的自适应算法","authors":"Maciej Soltysiak, P. Kolendo, Michal Szuca, Tomasz Ogryczak","doi":"10.1109/ICAIPR.2016.7585221","DOIUrl":null,"url":null,"abstract":"Aim of this work was to create an adaptive method allowing effective use of generator reactive power in coordinated voltage control system independently of its parameters and Automatic Voltage Controller (AVR) type. Two methods were tested, one based on artificial neural networks classification and second based on modifying voltage limiter curve constructed on base of domain experts knowledge.","PeriodicalId":127231,"journal":{"name":"2016 Third International Conference on Artificial Intelligence and Pattern Recognition (AIPR)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Adaptive algorithm of generator reactive power control range expansion in national grid system\",\"authors\":\"Maciej Soltysiak, P. Kolendo, Michal Szuca, Tomasz Ogryczak\",\"doi\":\"10.1109/ICAIPR.2016.7585221\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aim of this work was to create an adaptive method allowing effective use of generator reactive power in coordinated voltage control system independently of its parameters and Automatic Voltage Controller (AVR) type. Two methods were tested, one based on artificial neural networks classification and second based on modifying voltage limiter curve constructed on base of domain experts knowledge.\",\"PeriodicalId\":127231,\"journal\":{\"name\":\"2016 Third International Conference on Artificial Intelligence and Pattern Recognition (AIPR)\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 Third International Conference on Artificial Intelligence and Pattern Recognition (AIPR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAIPR.2016.7585221\",\"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 Third International Conference on Artificial Intelligence and Pattern Recognition (AIPR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAIPR.2016.7585221","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptive algorithm of generator reactive power control range expansion in national grid system
Aim of this work was to create an adaptive method allowing effective use of generator reactive power in coordinated voltage control system independently of its parameters and Automatic Voltage Controller (AVR) type. Two methods were tested, one based on artificial neural networks classification and second based on modifying voltage limiter curve constructed on base of domain experts knowledge.