A Judgment Method of Power Quality Disturbance Source Based on Bird Swarm Algorithm and SVM
A power quality disturbance and power quality technology, applied in the field of power quality monitoring, can solve problems such as power quality of distribution network, impact on safe operation, harmonic pollution, etc.
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[0079] The following are preferred embodiments of the present invention. It should be pointed out that for those skilled in the art, without departing from the principle of the present invention, some improvements and modifications can also be made, and these improvements and modifications are also considered as the present invention. protection scope of the invention.
[0080] Bird Swarm Algorithm (BSA) is a swarm intelligence optimization algorithm based on bird flock behavior proposed by Xian-Bing Meng et al. in 2015.
[0081] SVM: Support Vector Machine.
[0082] Such as figure 1 As shown, the present invention provides a method for judging power quality disturbance sources based on bird swarm algorithm and SVM. The method is specifically used for judging multiple power quality disturbance sources in low-voltage station areas containing distributed photovoltaic power generation systems, including the following steps:
[0083] S1. Collect initial data, including the data ...
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