Logic Self-adaptive Optimization Algorithm for Equipment Selection of Green UHV Converter Station Based on Association Rules
There are many components in UHV converter station,which cause great loss during operation.It is necessary to implement the optimization of equipment selection.Hence,a logic self-adaptive optimization algorithm for equipment selection of green UHV converter station based on association rules is proposed.Using association rules,the main factors affecting the selection of green UHV converter station equipment are selected,the logical description function of green UHV converter sta-tion equipment selection is constructed,and the constraint conditions are set.The particle swarm optimization algorithm is used to adaptively optimize the selection of UHV converter station equipment models,so as to realize the logical optimization of green UHV converter station equipment selection.The results show that after the application of the three self-adaptive opti-mized green UHV converter station equipment selection schemes,the consumption is less than the original UHV converter sta-tion equipment selection scheme.
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维普
