Direct-current transmission line fault distance measurement method based on neural network algorithm
A technology of direct current transmission lines and neural network algorithms, applied in neural learning methods, biological neural network models, fault locations, etc., can solve problems such as low accuracy and difficulty, and achieve the effect of improving prediction accuracy and generalization ability
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[0042] The embodiments will be described in detail hereinafter, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following examples do not represent all implementations consistent with this application. These are merely examples of systems and methods consistent with aspects of the present application as recited in the claims.
[0043] see figure 1 , is a flow chart of a fault location method for direct current transmission lines based on neural network algorithm.
[0044] The present application provides a DC transmission line fault location method based on a neural network algorithm, comprising the following steps:
[0045] Build the UHV DC transmission system model, the UHV DC transmission system model includes: AC system model, converter station mo...
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