Power distribution network single-phase earth fault intelligent line selection method considering high-proportion DG access
A single-phase-to-ground fault, distribution network fault technology, applied in fault location, neural learning method, biological neural network model, etc., can solve problems such as failure, and achieve the effect of improving accuracy
Active Publication Date: 2022-07-29
NANJING INST OF TECH
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However, due to the change of power flow in the distribution network, these methods may be ineffective in the single-phase ground fault line selection of the neutral point ungrounded system with a high proportion of DG connected to the distribution network
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[0027] like figure 1 As mentioned above, the intelligent line selection method for the single-phase ground fault of the distribution network considering the high proportion of DG access includes the following steps:
[0028] S1: Construct the fault characteristic matrix of distribution network based on wavelet transform;
[0029] The specific process is:
[0030] S11: Construction of Transient Wavelet Energy Matrix of Distribution Network
[0031] In order to obtain the fault component of the single-phase ground fault, wavelet transform is used to transform the original fault zero-sequence current. Perform wavelet decomposition; classify the decomposed fault signals according to different scales, and then calculate the transient wavelet energy value of the fault zero-sequence current according to formula (1), and form the distribution network fault shown in formula (2). Transient wavelet energy matrix; where, for the line The transient wavelet energy value of , for t...
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The invention discloses a power distribution network single-phase earth fault intelligent line selection method considering high-proportion DG access. For the influence of DG access, a state matrix representing the DG access condition and a DNN model used for intelligent line selection are constructed. A zero-sequence current fault characteristic component matrix extracted through wavelet transformation and a state matrix representing DG access conditions are combined to form a distribution network single-phase earth fault characteristic matrix containing high-proportion DG access, the distribution network single-phase earth fault characteristic matrix serves as an input quantity of a post-stage DNN model, depth mapping of the distribution network fault characteristic matrix and a fault label is formed through the DNN model, and the distribution network single-phase earth fault characteristic matrix is obtained. And finally, a fault line is diagnosed intelligently. The invention relates to a power distribution network single-phase earth fault intelligent line selection method based on a WE-DNN model. Compared with a traditional distribution network single-phase earth fault line selection method based on wavelet transform, the method has the advantages that the zero-sequence current fault characteristic component extracted by adopting wavelet transform is reserved, and the single-phase earth fault line selection precision of the distribution network with high-proportion DG access is improved.
Description
technical field [0001] The invention relates to the technical field of complex distribution network fault detection, in particular to an intelligent line selection method for single-phase grounding faults in a neutral point ungrounded system considering a high proportion of distributed generation (DG) access to a distribution network. Background technique [0002] Many medium and low voltage distribution networks in my country use the neutral point ungrounded method, which has the advantages of strong power supply reliability and low investment. With the rapid development of economy and industry, the demand for energy is increasing day by day. Renewable energy, such as wind power and photovoltaic, is more and more popular because of its cleanness and abundance. However, the integration of wind power and photovoltaics into the distribution network has changed the trend of the traditional distribution network to a certain extent, so that the fault current characteristics of th...
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IPC IPC(8): G01R31/08G01R31/52G06F17/14G06K9/00G06N3/08
CPCG01R31/086G01R31/088G01R31/52G06N3/08G06F17/148G06F2218/12
Inventor 张亮胡昇水恒华傅岳林孙健汪洋
Owner NANJING INST OF TECH