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作 者:Yinkong Wei Mucong Wu Wei Wei Paulo R.F.Rocha Ziyi Cheng Weifang Yao
机构地区:[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
出 处:《Computer Systems Science & Engineering》2024年第3期723-738,共16页计算机系统科学与工程(英文)
基 金:funded by a science and technology project of State Grid Corporation of China“Comparative Analysis of Long-Term Measurement and Prediction of the Ground Synthetic Electric Field of±800 kV DC Transmission Line”(GYW11201907738);Paulo R.F.Rocha acknowledges the support and funding from the European Research Council(ERC)under the European Union’s Horizon 2020 Research and Innovation Program(Grant Agreement No.947897).
摘 要: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.
关 键 词:DC transmission line total electric field effective data multivariable outliers LOF algorithm Stacking algorithm
分 类 号:TM74[电气工程—电力系统及自动化] TP31[自动化与计算机技术—计算机软件与理论]
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