【作者】 崔健；

【导师】 万健如；

【作者基本信息】 天津大学 ， 电力电子与电力传动， 2007， 硕士

【摘要】 统一电能质量调节器(UPQC)作为一种新型的电能质量控制装置,成为近几年电力电子专业研究的热点。它能够补偿负载无功电流和谐波电流,同时抑制电网电压波动、电压闪变和各相电压的不平衡等,为用户提供高质量电能,是控制用户电能质量,抑制电网各部分之间干扰的有力工具。本文在本课题前期工作的基础上,吸取和借鉴国内外研究成果,分析了目前UPQC的拓扑结构、补偿量检测算法以及控制算法,并将UPQC的控制策略作为重点进行研究。本文对目前在有源电力滤波器(APF)上应用较多的单周控制策略的工作原理进行深入研究,并将其成功的应用到动态电压恢复器(DVR)的控制。最后根据UPQC拓扑结构的特点,提出了基于单周控制策略的UPQC。该方法结构简单、控制精度高、补偿效果好。并通过仿真证明了该方法的可行性和优越性。本课题前期工作中提出了用于UPQC的无差拍和鲁棒控制策略,但这些方法都要依赖于精确的数学模型。本文针对这点不足,提出将模糊控制策略应用于UPQC。很好地适应了电力系统的强非线性和强不稳定性。但在系统参数变化比较大的时,该策略不能满足系统对调节器参数的自整定要求。因此,本文又分别提出了自整定模糊-PI控制策略和基于神经网络的自适应模糊控制策略。仿真结果证明了这种智能控制策略的有效性及其改进策略的优越性。最后本文对UPQC的补偿进行了初步的试验研究。搭建了以7MBP50RA120为核心的UPQC主电路,并对主电路中的参数进行了设计,如串联侧耦合变压器、变流器直流侧电容等。设计了以TMS320F2812为核心的控制电路,其中主要包括供电电路、传感器检测电路、电压过零点检测电路、检测信号转换与电平偏移电路、驱动信号隔离电路等。设计了UPQC补偿量检测程序及传统控制算法程序,充分利用DSP片内资源,实现UPQC的补偿。更多还原

【Abstract】 As a new control device of power quality, Unified Power Quality Conditioner (UPQC) is an important research aspect of power electronics. It is a powerful tool to compensate the fluctuation and harmonic of power line voltage, and reactive power and harmonic current of loads.On the basic of preceding work of this project and the research production of this field, the structure, detect and control method are analyzed. And the control method is researched as a major aspect in this paper.In this paper, one-cycle control method, which is used to control the Active Power Filter (APF) widely, is deeply studied. And a one-cycle control method for Dynamic Voltage Restorer (DVR) is presented. According to the structure characteristic of UPQC, a one-cycle control method for UPQC is mentioned. It has simplified circuit, high precision and effectual compensation. The simulation results verify the feasibility and advantage of this method.In the preceding work, the synchronal deadbeat control and robust control method for UPQC are mentioned. But these methods base on a unified math model. Aiming this flaw, the fuzzy control method for UPQC is mentioned in this paper. It adapts well to the non-linearity and instability of electric power system. But when the system parameters have a perturbed problem, the controller parameter cannot tune by itself. Therefore, a parameter self-tuning PI controller based on fuzzy inference method and a fuzzy controller based on neural network are mentioned in this paper. The simulation results verify that the intelligent control method is effectual and its improver is advanced.At last, this paper basically realizes routine control of UPQC. The main circuit is built based on the 7MBP50RA120. And the parameters of main circuit are designed such as coupling transformer on the series side, capacitance of converter and so on. The control circuit uses TMS320F2812 as the central control unit. It also contains power supply circuit, detection circuit for sensor and zero-crossing detector and isolation circuit. The software program for UPQC is designed. And the experiment curve is analyzed.更多还原