{"title":"电力系统的systematıc方法","authors":"Serdar Guneli, A. Demirkol","doi":"10.1109/SIU.2010.5651135","DOIUrl":null,"url":null,"abstract":"In this study, a general approach for modeling power systems is discussed. The power system model, handled in this paper, is based on observation with sensors distributed in space. To estimate the dinamic parameters of power systems in the coverage of each sensors, makes control and keep track of system possible. For this purpose, the sensors and power systems which are organized by a distributed network structure, predisposed to a stochastic model called decentralized Kalman filter. Thus, the accurate estimation and measure of system outputs are aimed. Accordingly, a theoretic model has been proposed that provides a general impression and formulation of power systems.","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A systematıc approach to power systems\",\"authors\":\"Serdar Guneli, A. Demirkol\",\"doi\":\"10.1109/SIU.2010.5651135\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study, a general approach for modeling power systems is discussed. The power system model, handled in this paper, is based on observation with sensors distributed in space. To estimate the dinamic parameters of power systems in the coverage of each sensors, makes control and keep track of system possible. For this purpose, the sensors and power systems which are organized by a distributed network structure, predisposed to a stochastic model called decentralized Kalman filter. Thus, the accurate estimation and measure of system outputs are aimed. Accordingly, a theoretic model has been proposed that provides a general impression and formulation of power systems.\",\"PeriodicalId\":152297,\"journal\":{\"name\":\"2010 IEEE 18th Signal Processing and Communications Applications Conference\",\"volume\":\"57 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-04-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE 18th Signal Processing and Communications Applications Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIU.2010.5651135\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE 18th Signal Processing and Communications Applications Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIU.2010.5651135","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this study, a general approach for modeling power systems is discussed. The power system model, handled in this paper, is based on observation with sensors distributed in space. To estimate the dinamic parameters of power systems in the coverage of each sensors, makes control and keep track of system possible. For this purpose, the sensors and power systems which are organized by a distributed network structure, predisposed to a stochastic model called decentralized Kalman filter. Thus, the accurate estimation and measure of system outputs are aimed. Accordingly, a theoretic model has been proposed that provides a general impression and formulation of power systems.