{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T18:45:35Z","timestamp":1773513935046,"version":"3.50.1"},"reference-count":31,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51977041"],"award-info":[{"award-number":["51977041"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61963003"],"award-info":[{"award-number":["61963003"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Natural Science Foundation for Distinguished Young Scholars of Guangxi","award":["2018GXNSFFA281006"],"award-info":[{"award-number":["2018GXNSFFA281006"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.2979735","type":"journal-article","created":{"date-parts":[[2020,3,10]],"date-time":"2020-03-10T20:13:18Z","timestamp":1583871198000},"page":"51035-51043","source":"Crossref","is-referenced-by-count":144,"title":["Comparisons on Kalman-Filter-Based Dynamic State Estimation Algorithms of Power Systems"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2676-9171","authenticated-orcid":false,"given":"Hui","family":"Liu","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2386-9035","authenticated-orcid":false,"given":"Fei","family":"Hu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0907-9937","authenticated-orcid":false,"given":"Jinshuo","family":"Su","sequence":"additional","affiliation":[]},{"given":"Xiaowei","family":"Wei","sequence":"additional","affiliation":[]},{"given":"Risheng","family":"Qin","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref31","first-page":"11","article-title":"User manual for power system toolbox, version 3.0","author":"chow","year":"1991"},{"key":"ref30","author":"liu","year":"2011","journal-title":"Theory of Optimal Estimation"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1049\/iet-gtd.2010.0210"},{"key":"ref11","first-page":"3433","article-title":"A dynamic state estimation method considering speed governors","volume":"37","author":"bi","year":"2013","journal-title":"Power Syst Technol"},{"key":"ref12","first-page":"140","article-title":"Dynamic state estimation method for generator considering measurement of bad data","volume":"41","author":"ma","year":"2017","journal-title":"Autom Electr Power Syst"},{"key":"ref13","first-page":"17","article-title":"Power system dynamic state estimation with mixed measurements based on UKF","volume":"34","author":"li","year":"2010","journal-title":"Autom Electr Power Syst"},{"key":"ref14","first-page":"74","article-title":"Application of UKF and SRUKF to power system dynamic state estimation","volume":"31","author":"wei","year":"2011","journal-title":"Proc CSEE"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2017.2761452"},{"key":"ref16","first-page":"87","article-title":"Improved robust unscented Kalman filtering algorithm for dynamic state estimation of power systems","volume":"42","author":"qu","year":"2018","journal-title":"Autom Electr Power Syst"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2016.2580584"},{"key":"ref18","first-page":"2706","article-title":"Dynamic state estimator for synchronous machines based on cubature Kalman filter","volume":"34","author":"chen","year":"2014","journal-title":"Proc CSEE"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2017.2677698"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s10236-003-0036-9"},{"key":"ref4","author":"zhang","year":"2019","journal-title":"Optimal Estimation Theory and Application"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2017.2760163"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1049\/iet-gtd.2019.0031"},{"key":"ref6","first-page":"376","article-title":"Feasibility studies of applying Kalman Filter techniques to power system dynamic state estimation","author":"huang","year":"2007","journal-title":"Proc Int Power Eng Conf (IPEC)"},{"key":"ref29","first-page":"1","article-title":"Dynamic state estimation and parameter calibration of a DFIG using the ensemble Kalman filter","author":"fan","year":"2015","journal-title":"Proc IEEE Power Energy Soc Gen Meeting"},{"key":"ref5","author":"simon","year":"2013","journal-title":"Optimal State Estimation Kalman H Infinity and Nonlinear Approaches"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/PESGM.2015.7285870"},{"key":"ref7","first-page":"19","article-title":"Dynamic state estimator based on WAMS during power system transient process","volume":"28","author":"qin","year":"2008","journal-title":"Proc CSEE"},{"key":"ref2","first-page":"29","article-title":"Precision improvement and PMU placement studies on state estimation of a hybrid measurement system with PMUS","volume":"21","author":"wang","year":"2001","journal-title":"Proc CSEE"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/PECI.2017.7935748"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2014.2345698"},{"key":"ref20","first-page":"163","article-title":"Dynamic state estimator for synchronous machines based on robust cubature Kalman filter","volume":"31","author":"bi","year":"2016","journal-title":"Trans China Electrotech Soc"},{"key":"ref22","article-title":"The method of cubature Kalman filter and its application research","author":"li","year":"2016"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2900228"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.physd.2006.11.008"},{"key":"ref23","first-page":"1","article-title":"Application of ensemble Kalman filter in power system state tracking and sensitivity analysis","author":"li","year":"2012","journal-title":"Proc IEEE PES T&D"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/MCS.2009.932223"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2012.2205515"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09031330.pdf?arnumber=9031330","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T01:08:10Z","timestamp":1641949690000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9031330\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/access.2020.2979735","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}