基于改进NSGA多目标值优化的油纸绝缘状态评估方法

Improved NSGA Multi-objective Optimization Based Oil-Paper Insulation Status Assessment Method

油纸绝缘作为油浸式电力变压器的重要组成部分,其绝缘状态的可靠对维护变压器的稳定运行至关重要。为准确获得油纸绝缘频域介电响应特性与其绝缘状态的关系,开展了老化、受潮油纸绝缘试样的频域介电响应测试,并基于扩展Debye模型,提出了采用改进非支配排序遗传算法(non-dominated sorting genetic algorithm,NSGA)的油纸绝缘宽频介电特征参数的识别方法,通过油纸绝缘复电容的频谱曲线,完成了扩展Debye模型特征参数的准确提取。考虑特征参数信息熵的权重关系,建立了模型特征参数与绝缘水分含量及老化程度的定量表征方程。通过该方法可实现油纸绝缘状态的量化分析,为油浸式电力设备绝缘状态的准确评估提供理论支撑。

Oil-paper is an important component of oil-immersed power transformers,and its insulation reliability is crucial for maintaining transformer stable operation.In this paper,FDS tests on aged and damp oil-paper insulation samples are conducted,so as to obtain the relationship between the frequency domain dielectric response characteristics of oil-paper insulation and its insulation state.Based on the extended Debye model,an improved NSGA algorithm assisted recognition method for oil-paper insulation broadband dielectric characteristic parameters is proposed.The accurate extraction of the extended Debye model characteristic parameters can be achieved through the complex capacitance curve of the oil-paper insulation.The weight relationship of the characteristic parameter information entropy was considered,and the quantitative characterization equation of the model characteristic parameter and the insulation moisture content and aging was established.This method can realize the quantitative analysis of the oil-paper insulation state and provide important theoretical support for the accurate insulation state assessment of the oil-immersed power equipment.