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为了更好地研究变压器油纸绝缘老化状态与拓展德拜等值电路参数之间的相关性,根据实测回复电压特征量参数等值电路模型,建立求解等值电路参数的数学模型,并将该模型转化为非线性优化问题,利用混合蛙跳算法的全局信息交换和局部深度搜索特性对拓展德拜等值电路参数进行参数辨识。通过两台变压器的辨识结果表明,与粒子群算法相比,由混合蛙跳算法辨识的电路参数计算获得的回复电压值与测量值具有更高的重合度,并能够准确地反映变压器油纸绝缘状态。
In order to better study the relationship between the aging state of transformer oil paper insulation and the expansion of Debye equivalent circuit parameters, a mathematical model for solving the equivalent circuit parameters is established based on the measured equivalent circuit parameters of the recovery voltage characteristic parameters. The model Which is transformed into a nonlinear optimization problem. The parameters of the extended Debye equivalent circuit are identified by using the global information exchange and local depth search of the hybrid frog leaping algorithm. The identification results of the two transformers show that compared with the particle swarm optimization algorithm, the recovery voltage obtained from the circuit parameters identified by the hybrid frog leap algorithm has a higher coincidence with the measured value and can accurately reflect the insulation state of the transformer oil paper .