Forecasting Aided Distribution Network State Estimation Using Mixed μPMU-RTU Measurements-Reference-Cited by-同舟云学术

Forecasting Aided Distribution Network State Estimation Using Mixed μPMU-RTU Measurements

Published:2022-12 Issue:4 Volume:16 Page:6524-6534
ISSN:1932-8184
Container-title:IEEE Systems Journal
language:
Short-container-title:IEEE Systems Journal

Author:

Li Jiang¹^ORCID,Gao Ming²^ORCID,Liu Bo¹^ORCID,Cai Yinong³

Affiliation:

1. School of Electrical Engineering, Shanghai University of Electric Power, Shanghai, China

2. School of Electrical Engineering, Northeast Electric Power University, Jilin, China

3. State Grid Liaoning Electric Power Co. Ltd. Marketing Service Center, Shenyang, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering,Computer Networks and Communications,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/4267003/9979155/09737561.pdf?arnumber=9737561

Reference32 articles.

1. Optimal allocation of PMUs in active distribution network considering reliability of state estimation results

2. Stochastic Event-Triggered Cubature Kalman Filter for Power System Dynamic State Estimation

3. Adaptive Robust Cubature Kalman Filter for Power System Dynamic State Estimation Against Outliers

4. Secure State Estimation and Control for Cyber Security of the Nonlinear Power Systems

5. A Robust Data-Driven Koopman Kalman Filter for Power Systems Dynamic State Estimation

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