Main and auxiliary integrated fault locating method and system based on gradient descent algorithm

Abstract

The invention discloses a main and auxiliary integrated fault locating method and system based on a gradient descent algorithm. In the fault locating method, the fault locating of a main and auxiliaryintegrated network model is realized based on the gradient descent algorithm, and meanwhile, based on the above method, a fault locating system composed of a data acquisition module, an analysis module and an accuracy evaluation module is constructed. The method is verified by an IEEE standard 33-node topology example. The example is to simulate the grid fault, calculate and preprocess multi-dimensional data measured by each node through the data acquisition module, establish a multi-layer neural network by using a neural network gradient descent algorithm idea, select an appropriate excitation function for nonlinear excitation, optimize the accuracy of model locating based on the gradient descent algorithm, and provide a fault branch locating result in a fault locating calculation module. The example simulation shows that the branch where the fault occurs can be located with high accuracy. The fault locating method effectively locates the branch of a grid where the fault occurs, provides an effective decision basis for the operation and repair of the grid, and reduces the economic losses.

Description

technical field [0001] The invention belongs to the technical field of power grid automation, and in particular relates to a method and system for locating faults integrated with primary and secondary components. Background technique [0002] Since the various measures of my country's power system are not perfect, it is difficult to completely avoid the occurrence of open circuit and short circuit faults. Since faults are inevitable and have a great negative impact on the normal use of power system components and people's lives, it is necessary to quickly and effectively analyze the fault situation after the fault to find out the cause of the fault, the components or location to ensure that the power system restores power as soon as possible. [0003] At present, my country's power system is still relatively weak, and the reliability of power supply is not high. The line finds the fault location and handles it to ensure the safe power supply of the line. For long lines, es...

AI Technical Summary

Problems solved by technology

The matrix method has the advantages of direct modeling and efficient positioning, but its flexibility is not strong, the error tolerance rate is not high, and it is easily constrained by the numerical stability in the logic matrix

The artificial intelligence method can still accurately locate the fault section when the network structure changes, the uploaded real-time information is distorted or incomplete, etc., mainly including genetic algorithm, rough set theory, artificial neural network [9-13] and other algorithms, However, the positioning method based on artificial intelligence has the disadvantages of relatively complex model construction and low positioning efficiency.

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