Distribution network topology change type identification method based on random matrix theory

Abstract

The invention discloses a distribution network topology change type identification method based on a random matrix theory. The method comprises the following steps: (1) collecting node voltage data ofa distribution network; (2) calculating a voltage covariance matrix of the distribution network; (3) carrying out the feature decomposition on the voltage covariance matrix, and arranging the obtained feature values from large to small as lambda 1, lambda 2,..., lambda n; (4) calculating a first detection standard C1 and a second detection standard C2 based on the characteristic values; and (5) identifying the topology change type of the power distribution network according to the values of the first detection standard C1 and the second detection standard C2. Besides, the invention also discloses a power distribution network topology change type identification system comprising a voltage data acquisition device and a processing module, and the power distribution network topology change type identification system executes the power distribution network topology change type identification method.

Description

technical field [0001] The invention relates to a method for identifying the state of a power distribution network, in particular to a method for identifying a topology change type of a power distribution network. Background technique [0002] In recent years, with the grid-connection of large-scale distributed power sources including wind power and photovoltaics, the popularization of electric vehicles, the wide application of energy storage systems, and the changes in power consumption patterns of users, the modern distribution network is facing randomness and Uncertainty and other issues have increased significantly, and traditional power distribution network status awareness technology has been difficult to meet the ever-increasing demand for network information awareness. [0003] It should be noted that when various events (including topology changes, power changes, etc.) Supplementary information. [0004] Based on this, in order to improve the state awareness abili...

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Problems solved by technology

[0002] In recent years, with the grid connection of large-scale distributed power sources including wind power and photovoltaics, the popularity of electric vehicles, the wide application of energy storage systems, and the changes in power consumption patterns of users, the modern distribution network is facing randomness and Uncertainty and other issues have increased significantly, and traditional power distribution network status awareness technology has been difficult to meet the ever-increasing demand for network information awareness

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