User-transformer relationship identification method and system based on current data integer programming solution

Abstract

The invention discloses a user-transformer relation identification method and system based on current data integer programming solution. The method comprises: respectively obtaining current time sequence data of K transformer area users and M transformer area users; carrying out discrete multi-order wavelet decomposition on each piece of current time series data, and extracting corresponding current time series high-frequency components from the discrete multi-order wavelet decomposition; establishing a mathematical model about a current time sequence high-frequency component between the zonearea users and the zone area transformers by taking a user-transformer relationship between the K zone area transformers and the M zone area users as an unknown variable and utilizing energy conservation and a Kirchhoff current law; based on the fact that each transformer area user must and is only connected with one transformer area transformer, carrying out mathematical modeling on the user-transformer relation to obtain a user-transformer constraint relation; and solving unknown variables in the user-transformer constraint relationship mathematical model by using integer programming, thereby finishing user-transformer relationship identification between the K transformer area transformers and the M transformer area users. According to the invention, the identification accuracy of the transformer area user-transformer relationship can be effectively improved, and manpower and material resources are saved.

Description

technical field [0001] The invention belongs to the technical field of power system distribution network management, and in particular relates to a method and system for identifying household-to-substation relationships based on current data integer programming solutions. Background technique [0002] With the rapid development of the power grid, the number of power users continues to grow, and the scale and structure of the low-voltage distribution network are becoming larger and more complex. In order to facilitate management, the power company implements sub-regional management of low-voltage distribution network users, and the identification of user relationship is the basis for lean marketing, consumption reduction and loss reduction, and is also the premise of electricity theft detection. In order to ensure the accuracy of line loss calculation, the electric power department needs to check the user's station area information frequently. In the low-voltage station area...

AI Technical Summary

Problems solved by technology

[0004] The present invention proposes a method and system for identifying household-to-substation relationships based on current data integer programming solutions, which can solve the problem of household-to-substation relationship identification in power distribution systems

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