Parameter identification of transmission lines by recursive least squares based on dynamic factor improvement

Zhicong Sun; Kui Shu

doi:10.1117/12.3014873

4 March 2024 Parameter identification of transmission lines by recursive least squares based on dynamic factor improvement

Zhicong Sun, Kui Shu

Author Affiliations +

Proceedings Volume 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023); 129810J (2024) https://doi.org/10.1117/12.3014873
Event: 9th International Symposium on Sensors, Mechatronics, and Automation (ISSMAS 2023), 2023, Nanjing, China

Abstract

Accurate transmission line parameters play a very important role in the normal operation and stability of the power system, so the power system needs accurate parameter identification and measurement to ensure accurate parameter input to the power system in order to ensure the normal operation and stability of the power system, based on this, relatively high precision parameter identification has become one of the important research directions, so the proposed therefore proposes the use of dynamic factor. Compared with the traditional least recursive squares method (DRLS), which is relatively weak for the stability of model errors and sensitivity to outliers, the least squares method based on dynamic factor superposition has stability, strong resistance to error and accelerates the solution speed by cleverly selecting the pre-processing method, and the simulation verifies the resistance to error of the algorithm. The simulation verifies the algorithm's ability to resist errors, and according to the feasibility index of multi-point measurement, the results obtained improve the identification accuracy.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhicong Sun and Kui Shu "Parameter identification of transmission lines by recursive least squares based on dynamic factor improvement", Proc. SPIE 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023), 129810J (4 March 2024); https://doi.org/10.1117/12.3014873

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available