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配电变压器绕组故障在线诊断方法研究

发布时间:2018-07-13 11:49
【摘要】:配电变压器在配电系统中承担着电压变换、电能分配的重要任务,其安全可靠运行对保障配电系统的稳定运行具有重大意义。配电网的规划、建设和发展现状,导致配电变压器运行环境恶劣、变压器事故频发,且配电变压器的检修以计划检修为主,影响配电网的电能质量和供电可靠性,因此配电系统需要一种适合配电变压器状态检修的绕组故障在线诊断方法。由于现有的变压器绕组故障在线诊断方法不适合配电变压器绕组故障诊断且配电变压器绕组故障诊断缺少诊断依据及量化标准,因此本文正向计算绕组故障时变压器内部电磁参数及绕组末端电流和等效短路阻抗,建立绕组故障诊断依据及量化标准,并通过绕组末端电流电压信号计算绕组短路阻抗逆向诊断绕组故障的研究具有重要的意义。 本文在配电变压器绕组故障调查及变压器参数模型的基础上,基于有限元方法建立配电变压器的静磁场和场路耦合瞬态磁场的模型,利用ANSOFT软件正向分析计算配电变压器的绕组短路、绕组绝缘老化及绕组变形故障时变压器漏磁场的分布、绕组电动力及绕组电流和等效短路阻抗,为配电变压器绕组故障诊断提供依据和量化标准。建立了基于绕组末端电压和电流信号计算变压器绕组短路阻抗逆向诊断绕组故障的在线诊断系统,并通过变压器吊罩检查,验证绕组故障诊断系统的准确性。本文的主要工作内容如下: ①简述配电变压器绕组故障诊断背景及意义,阐述变压器参数模型及绕组故障诊断研究现状,确定变压器绕组故障诊断方法,调查配电变压器绕组故障种类及产生原因。 ②基于有限元理论建立变压器静磁场及场路耦合瞬态磁场模型。静磁场模型用于计算变压器空载、额定负载、外部短路时变压器漏磁场分布及绕组电动力。场路耦合瞬态磁场模型用于计算绕组故障时变压器内部电磁参数和绕组电动力,绕组末端的电流及等效短路阻抗,并用短路试验计算验证场路耦合瞬态模型的正确性。 ③建立配电变压器绕组匝间短路和绕组对地短路的场路耦合绕组故障模型,正向计算短路故障前后变压器漏磁场分布、绕组电动力、绕组末端电流和等效短路阻抗,为绕组短路故障诊断提供依据和量化标准。 ④建立配电变压器绕组轴向位移变形及绕组绝缘介质老化的场路耦合故障模型,正向计算绕组故障时变压器漏磁场分布、绕组电动力、绕组末端电流和绕组等效短路阻抗,,为绕组潜在故障在线诊断提供依据和量化标准。 ⑤建立通过绕组末端电流电压参数计算绕组短路阻抗逆向诊断绕组故障的在线诊断系统,并建立实验平台,验证在线测量绕组短路阻抗的准确性及进行误差分析。 ⑥建立配电变压器绕组故障在线诊断平台,通过在线绕组短路阻抗测量及变压器吊罩绕组检查,确定变压器绕组故障在线诊断方法的准确性。
[Abstract]:Distribution transformer takes on the important task of voltage conversion and power distribution in the distribution system. Its safe and reliable operation is of great significance to ensure the stable operation of the distribution system. The planning, construction and development of distribution network lead to the poor operating environment of distribution transformer, frequent accidents of transformer, and the maintenance of distribution transformer is mainly based on planned maintenance, which affects the power quality and reliability of distribution network. Therefore, distribution system needs a method of winding fault on-line diagnosis suitable for condition maintenance of distribution transformer. The existing on-line diagnosis methods of transformer winding fault are not suitable for distribution transformer winding fault diagnosis and the fault diagnosis of distribution transformer winding lacks diagnostic basis and quantification standard. Therefore, in this paper, the inner electromagnetic parameters and the end current and equivalent short circuit impedance of the transformer are calculated forward, and the diagnostic basis and quantification standard of the winding fault are established. It is of great significance to calculate the winding short circuit impedance by using the winding terminal current and voltage signal to diagnose the winding fault. Based on the fault investigation of distribution transformer windings and the transformer parameter model, the model of static magnetic field and field-circuit coupled transient magnetic field of distribution transformer is established based on finite element method in this paper. The distribution of magnetic leakage magnetic field, winding electric force, winding current and equivalent short circuit impedance of distribution transformer are calculated by ANSOFT software when winding short circuit, winding insulation aging and winding deformation fault are analyzed. It provides basis and quantification standard for winding fault diagnosis of distribution transformer. An on-line fault diagnosis system based on winding terminal voltage and current signals for reverse diagnosis of transformer winding short-circuit impedance is established. The accuracy of winding fault diagnosis system is verified by transformer hood inspection. The main work of this paper is as follows: 1. The background and significance of winding fault diagnosis of distribution transformer are briefly described. The transformer parameter model and the status quo of winding fault diagnosis are described, and the fault diagnosis method of transformer winding is determined. Based on the finite element theory, the transient magnetic field model of transformer coupled with static magnetic field and field circuit is established. The static magnetic field model is used to calculate the leakage magnetic field distribution and the electric force of the winding when the transformer has no load, rated load and external short circuit. The field circuit coupled transient magnetic field model is used to calculate the internal electromagnetic parameters of the transformer, the electrodynamic force of the winding, the current at the end of the winding and the equivalent short circuit impedance. The correctness of the field-circuit coupling transient model is verified by short-circuit test. (3) the fault model of the field-circuit coupling winding is established for the inter-turn short circuit of the winding of distribution transformer and the short-circuit of the winding to the ground. Forward calculation of transformer leakage magnetic field distribution, winding electromotive force, winding end current and equivalent short circuit impedance before and after short-circuit fault, This paper provides the basis and quantification standard for fault diagnosis of short circuit winding. 4. The field circuit coupling fault model of axial displacement deformation of distribution transformer winding and aging of insulation medium of winding is established, and the leakage magnetic field distribution of transformer when winding fault is calculated in the forward direction. Winding electromotive force, winding end current and winding equivalent short circuit impedance, This paper provides the basis and quantification standard for on-line diagnosis of potential winding faults. 5. An on-line diagnosis system for the reverse diagnosis of winding fault by calculating winding short-circuit impedance through winding terminal current and voltage parameters is established, and an experimental platform is established. To verify the accuracy of on-line measurement of winding short-circuit impedance and to analyze the error. (6) the on-line fault diagnosis platform of distribution transformer windings is established, and the on-line winding short-circuit impedance measurement and transformer hoisting winding inspection are carried out. The accuracy of on-line diagnosis method of transformer winding fault is determined.
【学位授予单位】:重庆大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TM421

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