Real-time robust forecasting-aided state estimation of power system based on data-driven models-Reference-Cited by-同舟云学术

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Real-time robust forecasting-aided state estimation of power system based on data-driven models

Published:2021-02 Issue: Volume:125 Page:106412
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:

Ji Xingquan,Yin Ziyang,Zhang Yumin,Wang Mingqiang,Zhang Xiao,Zhang Chao,Wang Dong

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference40 articles.

1. Static state estimation in electric power systems;Schweppe;Proc IEEE,1974

2. Power system dynamic state estimation: motivations, definitions, methodologies, and future work;Zhao;IEEE Trans Power Syst,2019

3. Distribution system state estimation: a semidefinite programming approach;Yao;IEEE Trans Smart Grid,2019

4. Robust and scalable power system state estimation via composite optimization;Wang;IEEE Trans Smart Grid,2019

5. A robust iterated extended Kalman filter for power system dynamic state estimation;Zhao;IEEE Trans Power Syst,2017

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