Power quality assessment of substations based on combined weight-TOPSIS model

Liquan Yang; Tianqi Xu; Zheyu Shu; Huangkang Cui

doi:10.1117/12.3033937

16 October 2024 Power quality assessment of substations based on combined weight-TOPSIS model

Liquan Yang, Tianqi Xu, Zheyu Shu, Huangkang Cui

Author Affiliations +

Proceedings Volume 13291, Ninth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2024); 1329115 (2024) https://doi.org/10.1117/12.3033937
Event: Ninth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2024), 2024, Changchun, China

Abstract

With the development of science and technology, the stability and reliability of power systems are required to be higher. Substations, as an important part of power systems, directly affect the stability of power systems and user experiences. In recent years, the access of new energy and the development of power electronic technology have made power quality issues increasingly prominent, and the assessment of power quality in substations is particularly important. This paper proposes judging the operation condition of substation equipment based on the output power quality of substations. Secondly, the combination weight is obtained through the Lagrange multiplier method, and then the power quality of the substation is evaluated by the good and bad distance method. Power indices are visually displayed in the form of a chart to judge the operation status of the substation and whether maintenance is needed. By evaluating the real operation data of three substations, the feasibility and effectiveness of the proposed evaluation model in the power quality assessment of substations are verified.

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

Citation Download Citation

Liquan Yang, Tianqi Xu, Zheyu Shu, and Huangkang Cui "Power quality assessment of substations based on combined weight-TOPSIS model", Proc. SPIE 13291, Ninth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2024), 1329115 (16 October 2024); https://doi.org/10.1117/12.3033937

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