Decentralized Dynamic State Estimation of Transmission Lines Using Local Measurements
Artikel i vetenskaplig tidskrift, 2023

This paper presents a novel decentralized dynamic state estimation (DSE) method for estimating the dynamic states of a transmission line in real-time. The proposed method utilizes the sampled measurements from the local end of a transmission line, and thereafter DSE is performed by employing an unscented Kalman filter. The advantage of the proposed method is that the remote end state variables of a transmission line can be estimated using only the local end variables and, hence, the need for communication infrastructure is eliminated. Furthermore, an exact nonlinear model of the transmission line is utilized for estimation and the DSE of one transmission line is independent of the other lines. These in turn result in reduced complexity, higher accuracy, and easier implementation of the decentralized estimator. The proposed method is applied to a case study with realistic transmission line parameters. The results from the case study affirm that the proposed method accurately estimates the state variables under different operating conditions. Furthermore, robust performance is achieved with different noise variances and types. The proposed DSE method is envisioned to have potential applications in transmission line monitoring, control, and protection.

power system monitoring

transmission line

Transmission line measurements

Power system dynamics

State estimation

Voltage measurement

Kalman filter

Power transmission lines

unscented transformation

Kalman filters

Dynamic state estimation

Mathematical models

Författare

Ankur Srivastava

University of Connecticut

Abhinav Kumar Singh

University of Southampton

Anh Tuan Le

Chalmers, Elektroteknik, Elkraftteknik

David Steen

Chalmers, Elektroteknik, Elkraftteknik

Abdul Saleem Mir

Indian Institute of Technology

IEEE Access

2169-3536 (ISSN) 21693536 (eISSN)

Vol. 11 78237-78250

Ämneskategorier

Annan elektroteknik och elektronik

DOI

10.1109/ACCESS.2023.3298206

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Senast uppdaterat

2024-05-30