A distribution network topology reconstruction method based on adaptive sparse regression method

Abstract

The invention relates to a distribution network topology reconstruction method based on an adaptive sparse regression method, belonging to the technical field of distribution network topology analysis. The distribution network topological structure reconstruction method of the invention designs an algorithm which does not need prior knowledge of the distribution network and branch measurement dataaccording to the characteristic that branch measurement equipment is difficult to install in the distribution network, and can complete the topological reconstruction of the distribution network onlythrough the sequential voltage data of the distribution network bus bar, and the method is simple and easy to operate. The invention solves the problem of biased estimation by using the adaptive Lasso algorithm on the original Lasso algorithm. At the same time, a supplementary criterion is added to correct the wrong estimation when the algorithm does not meet the feasible conditions, which improves the accuracy of the algorithm. The method can be used in loop-free network or loop-network, and the topology reconstruction of distribution network can be carried out in a short time.

Description

technical field [0001] The invention relates to a distribution network topology reconstruction method based on an adaptive sparse regression method, and belongs to the technical field of distribution network topology analysis. Background technique [0002] With the development of smart grid, the access of distributed energy sources such as photovoltaic and wind power, and the large-scale use of electric vehicles have brought huge opportunities and challenges to the distribution network. As an important part of the power grid, the distribution network is not only the energy consumption terminal, but also the access carrier of distributed energy, playing an increasingly important role in the power system. Distributed energy can reduce line loss, but at the same time it will also bring problems such as overvoltage and line overload. In order to solve these problems, real-time topology reconstruction and intelligent dispatching of the power grid are required, and the basis of t...

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Problems solved by technology

[0007] The purpose of the present invention is to propose a distribution network topology reconstruction method based on the adaptive sparse regression method to overcome the inadaptability of the existing construction method to the distribution network, taking into account the incompleteness of distribution network branch information , using the voltage time series data that is easy to obtain, and at the same time, using the adaptive Lasso algorithm to solve the biased estimation of the Lasso algorithm, and overcome the wrong estimation problem when the feasible conditions of the Lasso algorithm are not satisfied by supplementary criteria

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