Continuous Line Loss Calculation Method for Distribution Network Considering Collected Data of Different Densities

Yuying Li, Xiping Ma, Chen Liang, Yaxin Li, Zhou Cai and Tong Jiang
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Yuying Li: State Key Laboratory of Alternative Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China
Xiping Ma: Electric Power Research Institute of State Grid Gansu Electric Power Company, Lanzhou 730050, China
Chen Liang: Electric Power Research Institute of State Grid Gansu Electric Power Company, Lanzhou 730050, China
Yaxin Li: Electric Power Research Institute of State Grid Gansu Electric Power Company, Lanzhou 730050, China
Zhou Cai: State Key Laboratory of Alternative Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China
Tong Jiang: State Key Laboratory of Alternative Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China

Energies, 2022, vol. 15, issue 14, 1-14

Abstract: In order to find the causes of statistical line loss abnormalities and propose better loss reduction strategies, it is necessary to improve the accuracy of theoretical line loss calculations. Since Distributed Generation (DG) access to the distribution network causes variability of power flow in the distribution network within a short period, the error of the traditional line loss calculation method increases. For the line loss calculation of medium-voltage distribution networks containing DGs with high-density collection data, a continuous line loss calculation method for the distribution network was proposed, aiming at improving the accuracy compared with the traditional line loss calculation method. The proposed method makes full use of the high-density collection data on the dispatch side and DG side, distributing the supply power to each load node by power to calculate real-time power flow, thus obtaining a more credible line loss value. The effectiveness and accuracy of the proposed method were verified in the IEEE 17-node distribution system.

Keywords: DG; distribution network; line loss; high density data collection; power flow calculation (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: 2022
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