Power system dynamic state estimation: motivations, definitions, methodologies, and future work
File(s)Final_TF_DSE_Review.pdf (304.21 KB)
Accepted version
Author(s)
Type
Journal Article
Abstract
This paper summarizes the technical activities of the Task Force on Power System Dynamic State and Parameter Estimation. This Task Force was established by the IEEE Working Group on State Estimation Algorithms to investigate the added benefits of dynamic state and parameter estimation for the enhancement of the reliability, security, and resilience of electric power systems. The motivations and engineering values of dynamic state estimation (DSE) are discussed in detail. Then, a set of potential applications that will rely on DSE is presented and discussed. Furthermore, a unified framework is proposed to clarify the important concepts related to DSE, forecasting-aided state estimation, tracking state estimation, and static state estimation. An overview of the current progress in DSE and dynamic parameter estimation is provided. The paper also provides future research needs and directions for the power engineering community.
Date Issued
2019-07-01
Date Acceptance
2019-01-18
Citation
IEEE Transactions on Power Systems, 2019, 34 (4), pp.3188-3198
ISSN
0885-8950
Publisher
Institute of Electrical and Electronics Engineers
Start Page
3188
End Page
3198
Journal / Book Title
IEEE Transactions on Power Systems
Volume
34
Issue
4
Copyright Statement
© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000472579200064&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Technology
Engineering, Electrical & Electronic
Engineering
Dynamic state estimation (DSE)
Kalman filtering
synchrophasor measurements
static state estimation (SSE)
tracking state estimation (TSE)
forecasting-aided state estimation (FASE)
parameter estimation
robust estimation
bad data
power system protection
power system dynamics
power system stability and control
UNSCENTED KALMAN FILTER
PARAMETER-ESTIMATION
ADAPTIVE PROTECTION
NONLINEAR CONTROL
PMU DATA
IDENTIFICATION
PERFORMANCE
Publication Status
Published
Date Publish Online
2019-01-23