Distribution network equipment state evaluation method based on improved rough set optimization fireworks algorithm
The invention discloses a distribution network equipment state evaluation method based on an improved rough set optimization fireworks algorithm, and the method comprises the steps: firstly, obtaining a balanced data set through employing an under-sampling method based on K-means clustering accordin...
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Format: | Patent |
Sprache: | chi ; eng |
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Zusammenfassung: | The invention discloses a distribution network equipment state evaluation method based on an improved rough set optimization fireworks algorithm, and the method comprises the steps: firstly, obtaining a balanced data set through employing an under-sampling method based on K-means clustering according to the historical standing book data, state monitoring records and fault entry data for a data set imbalance problem in distribution network equipment state evaluation; then, discretization reduction is carried out on attribute values of numerous continuous evaluation indexes in distribution network equipment state evaluation by utilizing a rough set theory, and attribute reduction is carried out on an evaluation index decision table by adopting a reduction method based on attribute importance; and then, an improved fireworks algorithm is introduced to search a globally optimal solution in a large number of attribute reduction results, and finally a group of simplified evaluation index decision tables for state e |
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