Power system anomaly detection using innovation reduction properties of iterated extended kalman filter-Reference-Cited by-同舟云学术

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Power system anomaly detection using innovation reduction properties of iterated extended kalman filter

Published:2022-03 Issue: Volume:136 Page:107613
ISSN:0142-0615
Container-title:International Journal of Electrical Power & Energy Systems
language:en
Short-container-title:International Journal of Electrical Power & Energy Systems

Author:

Jin Zhaoyang,Zhao Junbo,Ding Lei,Chakrabarti Saikat,Gryazina Elena,Terzija Vladimir

Funder

Ministry of Education and Science of the Russian Federation

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference22 articles.

1. Power system static-state estimation, Part I-Part III;Schweppe;IEEE Trans Power Apparatus Syst,1970

2. Power system state estimation with extended power formulations;Brandalik;Int J Electr Power Energy Syst,2020

3. Improving distribution system state estimation with synthetic measurements;Cano;Int J Electr Power Energy Syst,2021

4. Optimal parameterization of Kalman filter based three-phase dynamic state estimator for active distribution networks;Ćetenović;Int J Electr Power Energy Syst,2018

5. Real-time robust forecasting-aided state estimation of power system based on data-driven models;Ji;Int J Electr Power Energy Syst,2021

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