Calculation Method of Theoretical Line Loss in Low-Voltage Grids Based on Improved Random Forest Algorithm

Li Huang (), Gan Zhou, Jian Zhang, Ying Zeng and Lei Li
Additional contact information
Li Huang: School of Electrical Engineering, Southeast University, Nanjing 211189, China
Gan Zhou: School of Electrical Engineering, Southeast University, Nanjing 211189, China
Jian Zhang: Guangdong Power Grid Co., Guangzhou 510600, China
Ying Zeng: Guangdong Power Grid Co., Guangzhou 510600, China
Lei Li: School of Electrical Engineering, Southeast University, Nanjing 211189, China

Energies, 2023, vol. 16, issue 7, 1-16

Abstract: Theoretical line loss rate is the basic reference value of the line loss management of low-voltage grids, but it is difficult to calculate accurately because of the incomplete or abnormal line impedance and measurement parameters. The traditional algorithm will greatly reduce the number of samples that can be used for model training by discarding problematic samples, which will restrict the accuracy of model training. Therefore, an improved random forest method is proposed to calculate and analyze the theoretical line loss of low-voltage grids. According to the Influence mechanism and data samples analysis, the electrical characteristic indicator system of the theoretical line loss can be constructed, and the concept of power supply torque was proposed for the first time. Based on this, the attribute division process of decision tree model is optimized, which can improve the limitation of the high requirement of random forest on the integrity of feature data. Finally, the improved effect of the proposed method is verified by 23,754 low-voltage grids, and it has a better accuracy under the condition of missing a large number of samples.

Keywords: low-voltage grids; theoretical line loss rate; improved random forest; decision tree optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/16/7/2971/pdf (application/pdf)
https://www.mdpi.com/1996-1073/16/7/2971/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:16:y:2023:i:7:p:2971-:d:1106415

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().