A Study of the Optimal Parameters Selection Based on Grey Relational Analysis Method

The parameters of power electronics equipments determine system operation effects, it is an important step to select their control parameters. Basing on the analysis of equipments operation effects and under same engineering environment condition, the grey relational analysis method (GRA) is adopted to research the selection problem of optimal operation parameters, grey relational grade between operation experiment and expect result are analyzed, so it can dynamically measure whether the parameters in control strategy good or not. In this paper, the GRA can improve the shortcoming of traditional measurement method and multi-dimensional spatio-temporal dynamically can analyze the parameter's contentment to equipment operation effect. Analyzing the operation result and expect effect, the GRA not only considers the similarity of their shaped curves but also count out these curves' space distance, so the optimal parameters selection purpose of equipment can be achieved.