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Research on Total Electric Field Prediction Method of Ultra-High Voltage Direct Current Transmission Line Based on Stacking Algorithm

Yinkong Wei1,2, Mucong Wu1,2,*, Wei Wei3, Paulo R. F. Rocha4, Ziyi Cheng1,2, Weifang Yao5
1 Key Laboratory of Operation and Control of Terraced Hydropower Plants in Hubei Province, Three Gorges University, Yichang, 443002, China
2 School of Electricity and New Energy, Three Gorges University, Yichang, 443002, China
3 Marketing Service Center (Metering Center), State Grid Hubei Electric Power Co., Ltd., Wuhan, 430072, China
4 Centre for Functional Ecology-Science for People & the Planet, Associate Laboratory TERRA, Department of Life Sciences, University of Coimbra, Coimbra, 3000-456, Portugal
5 Research Institute of Electric Power Science, State Grid Anhui Electric Power Company Limited, Hefei, 230601, China
* Corresponding Author: Mucong Wu. Email: email

Computer Systems Science and Engineering https://doi.org/10.32604/csse.2023.036062

Received 15 September 2022; Accepted 03 March 2023; Published online 21 March 2024

Abstract

Ultra-high voltage (UHV) transmission lines are an important part of China’s power grid and are often surrounded by a complex electromagnetic environment. The ground total electric field is considered a main electromagnetic environment indicator of UHV transmission lines and is currently employed for reliable long-term operation of the power grid. Yet, the accurate prediction of the ground total electric field remains a technical challenge. In this work, we collected the total electric field data from the Ningdong-Zhejiang ±800 kV UHVDC transmission project, as of the Ling Shao line, and perform an outlier analysis of the total electric field data. We show that the Local Outlier Factor (LOF) elimination algorithm has a small average difference and overcomes the performance of Density-Based Spatial Clustering of Applications with Noise (DBSCAN) and Isolated Forest elimination algorithms. Moreover, the Stacking algorithm has been found to have superior prediction accuracy than a variety of similar prediction algorithms, including the traditional finite element. The low prediction error of the Stacking algorithm highlights the superior ability to accurately forecast the ground total electric field of UHVDC transmission lines.

Keywords

DC transmission line; total electric field; effective data; multivariable outliers; LOF algorithm; Stacking algorithm

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