{"title":"Dynamic State Estimation of Full Power Plant Model from Terminal Phasor Measurements","authors":"Avishek Paul, G. Joós, I. Kamwa","doi":"10.1109/TDC.2018.8440429","DOIUrl":null,"url":null,"abstract":"An improved dynamic state estimation (DSE) scheme is presented in this paper that estimates the states of generator as well as exciter field voltage and output mechanical torque from governor. Using the phasor measurement unit (PMU) signal connected to the nearest bus from generator, state variables of generators and controllers are estimated using Extended-Kalman filter (EKF) formulation. Also the overall model order for estimator has been kept at minimal while detailed model have been considered in simulation. Furthermore no assumptions have been made about exciter and governor model structure or parameters. Simulations have been performed on the benchmark New England test system which demonstrates the enhanced estimation performance of proposed technique.","PeriodicalId":6568,"journal":{"name":"2018 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"46 1","pages":"1-5"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TDC.2018.8440429","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
An improved dynamic state estimation (DSE) scheme is presented in this paper that estimates the states of generator as well as exciter field voltage and output mechanical torque from governor. Using the phasor measurement unit (PMU) signal connected to the nearest bus from generator, state variables of generators and controllers are estimated using Extended-Kalman filter (EKF) formulation. Also the overall model order for estimator has been kept at minimal while detailed model have been considered in simulation. Furthermore no assumptions have been made about exciter and governor model structure or parameters. Simulations have been performed on the benchmark New England test system which demonstrates the enhanced estimation performance of proposed technique.