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基于ARM的智能变电站的继电保护技术研究

发布时间:2018-03-13 10:20

  本文选题:智能变电站 切入点:ARM 出处:《安徽理工大学》2017年硕士论文 论文类型:学位论文


【摘要】:电能在当今社会发展的中至关重要,作为各行各业的直接驱动力,电能的安全、稳定传输与国民经济和社会发展息息相关,因此智能电网以及智能变电站的建设已成为必然趋势。变电站继电保护系统的可靠性直接关系了电能供应,因而进行基于ARM的智能变电站的继电保护技术的研究具有重要的现实意义。本文分析了变电站输电线路配置的纵联差动保护、断路器失灵保护、重合闸保护原理;介绍了智能变电站继电保护系统的特征,并对比传统变电站结构,提出了智能变电站继电保护技术应用的三点关键性特征,即智能保护装置、电子互感器、全站网络通信的应用。为体现智能化优势,本文对系统内保护装置进行了设计,在硬件方面按照模块化理念,基于ARM9系列的AT91SAM9261芯片对保护模块、开关量输入/输出模块、通信模块、人机交互模块等硬件电路进行了设计;电子互感器代替电磁互感器进行数据采集并直接向保护装置传输数字信号也是智能变电站继电保护系统的重要特征,因此针对常规的电容分压式电子互感器存在的电磁干扰、温度漂移、暂态稳定性等问题,本文对分压式电子互感器硬件原理上提出了一种改进方案,即通过直接测量高压电容电流量计算二次侧低压信号,并通过数据计算及仿真波形验证其各项性能。软件设计方面根据总体结构图展开,对主程序及各中断子程序进行设计;考虑到变电站内高压线路发生故障后的暂态过程中故障电压、电流有丰富的暂态噪声,影响保护准确性。本文通过对比传统全波傅立叶算法、半波傅立叶算法的频率响应,提出将卡尔曼算法应用于输电线路的保护算法中,通过搭建接地故障仿真模型,对故障电流的基波幅值进行估计,结果表明卡尔曼算法滤波效果更好。全站通信网络传输是变电站智能化的一个标志,通过对EPON技术传输原理及网络协议的分析,提出用该技术实现保护系统采样数据及控制命令的传输,并对全站网络通信进行拓扑组网。
[Abstract]:As a direct driving force of various industries, the safety and stable transmission of electric energy is closely related to the national economy and social development. Therefore, the construction of smart grid and intelligent substation has become an inevitable trend. The reliability of substation relay protection system is directly related to the power supply. Therefore, it is of great practical significance to study the relay protection technology of intelligent substation based on ARM. The principle of longitudinal differential protection, circuit breaker failure protection and reclosing protection of substation transmission line configuration is analyzed in this paper. This paper introduces the characteristics of intelligent substation relay protection system, compares with the traditional substation structure, and puts forward three key features of intelligent substation relay protection technology application, that is, intelligent protection device, electronic transformer, etc. The application of network communication in the whole station. In order to reflect the advantage of intelligence, the protection device in the system is designed in this paper. According to the modularization concept of hardware, the AT91SAM9261 chip based on ARM9 series is used to protect the module and the switch quantity input / output module. The communication module, man-machine interaction module and other hardware circuits are designed, the electronic transformer replaces the electromagnetic transformer to collect data and transmit the digital signal directly to the protection device, which is also an important feature of the intelligent substation relay protection system. Therefore, in order to solve the problems of electromagnetic interference, temperature drift, transient stability and so on, this paper proposes an improved scheme for the hardware principle of split voltage electronic transformer. That is to calculate the secondary low voltage signal by measuring the current of the high voltage capacitor directly, and verify its performance by data calculation and simulation waveform. The software design is based on the overall structure diagram, the main program and the interrupt subprogram are designed. Considering that the fault voltage and current have abundant transient noise in the transient process after the fault of the high voltage line in the substation, this paper compares the frequency response of the traditional full-wave Fourier algorithm and the half-wave Fourier algorithm. In this paper, the Kalman algorithm is applied to the protection algorithm of transmission line, and the fundamental amplitude of fault current is estimated by setting up the simulation model of grounding fault. The results show that the Kalman algorithm has better filtering effect. The whole station communication network transmission is a symbol of substation intelligence. Through the analysis of EPON technology transmission principle and network protocol, This technology is used to realize the transmission of sampling data and control commands of the protection system, and the network topology of the whole station communication is carried out.
【学位授予单位】:安徽理工大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TM63;TM77

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