摘要
准确的变压器电磁暂态模型对保障电力变压器安全意义重大,其中更为重要的是对变压器铁芯部分的建模。然而,变压器铁芯的非线性磁滞特性及动态特性的模拟仍存在不精确,误差大等问题。为此,首先通过差分法改进静态解析正Preisach模型,构造一种更利于动态模型建立的静态解析逆Preisach模型;然后,在损耗统计理论、场分离技术以及分数阶导数理论的基础上,改进动态涡流场强分量,并与静态解析逆Preisach模型以及剩余损耗分量相结合,得到改进的动态解析逆Preisach磁滞模型,同时引入量子遗传算法对分数阶导数参数进行全局寻优。最后,将准确的动态解析逆Preisach模型在不同频率与不同最大磁密下与实验数据对比,结果表明,该模型的最大平均相对误差为5.857%,验证了该方法的有效性。
Accurate transformer electromagnetic transient model is of great significance to ensure the safety of power transformers,and the more important part is the modeling of the transformer core.However,the simulation of the nonlinear hysteresis characteristics and dynamic characteristics of the transformer core still has problems such as inaccuracy and remarkable errors.To this end,this paper firstly improves the static analytical positive Preisach model by the difference method,and constructs a static analytical inverse Preisach model that is more conducive to the establishment of dynamic models.Then,based on loss statistics theory,field separation technology and fractional derivative theory,the improved dynamic eddy current field strength component is combined with the static analytical inverse Preisach model and the residual loss component to obtain an improved dynamic analytical inverse Preisach hysteresis model.At the same time,the quantum genetic algorithm is introduced to optimize the fractional derivative parameters globally.Finally,the data from the accurate dynamic analytical inverse Preisach model are compared with the experimental data at different frequencies and different maximum magnetic densities.The results show that the maximum average relative error of the model is 5.857%,which verifies the effectiveness of the method in this paper.
作者
陈彬
王斐然
陈睿
唐波
万妮娜
CHEN Bin;WANG Feiran;CHEN Rui;TANG Bo;WAN Nina(Hubei Provincial Engineering Technology Research Center for Power Transmission Line,China Three Gorges University,Yichang 443002,China;College of Electrical Engineering and New Energy,China Three Gorges University,Yichang 443002,China;CSG EHV Power Transmission Company,Xingyi 562400,China;Yichang Electric Company State Grid Hubei Electric Power Company,Yichang 443002,China)
出处
《高电压技术》
EI
CAS
CSCD
北大核心
2023年第9期3918-3926,共9页
High Voltage Engineering
基金
国家自然科学基金青年科学基金(52107006)
湖北省自然科学基金面上项目(2021CFB149)。
关键词
软磁材料
PREISACH模型
损耗统计理论
分数阶导数
量子遗传算法
参数辨识
soft magnetic material
Preisach model
statistical theory of losses
fractional derivative
quantum genetic algorithm
parameter identification
