基于自适应微分进化算法的变压器参数辨识

为了对变压器绕组漏感和电阻参数进行精确辨识,基于微分进化算法,通过对控制参数的自适应调整、变异向量的自适应选择以及增加局部增强算子,提出一种自适应微分进化算法,消除了最小二乘法的局限性,可以实现对变压器绕组参数的精确辨识。采用Matlab/simulink对算法进行仿真以及动模试验,结果表明该算法能够正确辨识变压器绕组电阻和漏感参数,且稳定、误差很小。

Parameter Identification of Transformer Based on Self-adaptive Differential Evolution Algorithm

In order to accurately identify leakage inductance and winding resistance parameters of transformer, a new self-adaptive differential evolution parameter identification algorithm based on differential evolution algorithm is put forward by means of self-adaptive adjustment of control parameters, adaptive selection of mutation vector and adding local enhancement operator. The new algorithm eliminates the limitation of least squares method and can realize precise identification of parameters of transformer winding. The simulation of Matlab/simulink and dynamic simulation experiment shows that the algorithm can correctly identify leakage inductance and winding resistance parameters of transformer; the error is very small and lays a good foundation for transformer parameter online identification.