Influencing Factors Assessment of Power Transfer from Loop Closing in Distribution Network Based on XGBoost Algorithm

Huancong JI , Chengjun XIA , Shengjie LAI , Zeqing WANG , Yifeng LIU

›› 2023, Vol. 17 ›› Issue (6) : 18 -25.

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›› 2023, Vol. 17 ›› Issue (6) : 18 -25. DOI: 10.13648/j.cnki.issn1674-0629.2023.06.003
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Influencing Factors Assessment of Power Transfer from Loop Closing in Distribution Network Based on XGBoost Algorithm

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Abstract

The loop closing current is related to the bus voltage amplitude difference, phase angle difference, loop impedance and other factors, but the importance of each factor is not clear, and the closed loop current regulation lacks pertinence. For this reason, a method for evaluating the influencing factors of the power transfer from loop closing in the distribution network based on the extreme gradient boosting (XGBoost) algorithm is proposed to obtain the weight of each influencing factor and take targeted measures. Firstly, combined with the characteristics of the actual distribution network, the characteristic factor set that affects the size of the closed loop current is determined. Then, a closed loop model of the distribution network based on PSCAD/EMTDC is built, and the parameter values are changed to obtain a large number of sample data. Finally, the XGBoost algorithm is used to train the sample data to obtain the weight ranking of the factors affecting the loop closing current. The research results show that the priority of each factor is: phase angle difference>loop impedance>comprehensive load size> bus voltage amplitude difference>comprehensive load distribution. Based on this, corresponding loop closing current regulation strategies are formulated to achieve refined management of the distribution network, which has certain reference value for the dispatch and operation of the power grid.

Keywords

XGBoost algorithm / weight analysis / influencing factors / loop closing current

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Huancong JI,Chengjun XIA,Shengjie LAI,Zeqing WANG,Yifeng LIU. Influencing Factors Assessment of Power Transfer from Loop Closing in Distribution Network Based on XGBoost Algorithm. 2023, 17(6): 18-25 DOI:10.13648/j.cnki.issn1674-0629.2023.06.003

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the National Key Research and Development Program of China(2022YFB2403500)

the Research and Development Program in Key Areas of Guangdong Province(2019B111109001)

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