基于仿真可信度评估的变压器模型参数优化

Parameter Optimization of Transformer Model Based on Simulation Credibility Evaluation

为探索仿真系统可信度提升的有效方法,文章提出了一种基于仿真可信度评估的模型参数优化方法。其选取牵引变压器为研究对象,引入仿真可信度的概念,以仿真与试验数据的量化误差作为优化目标;同时,结合最优化问题的求解需求选择输入信号,通过敏感性分析结果选择需优化参数,建立了优化模型,开展关键参数优化。结果表明,优化后的模型参数无论是用于定量还是定性的分析,仿真可信度都得到了大幅提高,由此证明了本研究内容的有效性。

In order to explore an effective method to enhance the credibility of simulation system,this paper proposes a model parameter optimization method based on simulation credibility evaluation.Traction transformer is selected as the research object.The concept of simulation credibility is introduced,and the quantitative error of simulation and test data is taken as the optimization objective.At the same time,the input signal is selected according to the demand of solving the optimization problem,and the optimization parameters are selected according to the sensitivity analysis results,and an optimization model is established to optimize the key parameters.Simulation reliability of the optimized results has been greatly improved in both quantitative and qualitative analysis,which proves the effectiveness of the research content in this paper.