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电压暂降及其检测算法仿真
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摘要
随着现代电力电子设备的广泛应用,电压暂降已日益成为电力部门和用户所关注的电能质量问题,这对供电系统的电压质量提出了更高的要求,几个周期的电压暂降或中断都将影响这些设备正常工作,并造成巨大的危害,电压暂降也成为了最受关注的电能质量问题。因此,对电压暂降特征量准确、实时、快速的检测能够带来巨大的经济效益,而且具有非常重要的实际意义。
     本文简要介绍了电能质量的基本要求、特征、分类以及改善电能质量带来的巨大意义,并且重点讲述电能质量问题中的一个重要方面——电压暂降的概念、产生原因、危害、监测和预估及抑制方法等,并在此基础上对几种电压暂降常用检测算法进行了比较分析,总结了各种算法的优缺点及适用范围。
     动态电压恢复器(Dynamic Voltage Restorer, DVR)是目前解决电压暂降问题的有效途径,本文主要介绍了DVR所常用的dq变换法和αβ变换法,以及在此基础上改进的加入求导环节的算法。对两种检测方法的仿真结果表明,改进的算法具有更小的延时和更理想的检测波形,能够更好地达到准确性和实时性的要求。
With the extensive application of modern power electronic devices, voltage sag has become important power quality problems power sectors and users increasingly concerned, which sets higher requests to the voltage quality of power supply system. Interruption or voltage sag of several cycles will impact normal work of these equipments and bring great damage. So it has become the most concerned power quality problem. Therefore, the exact, timely and fast detection of the characteristics of voltage sags can bring tremendous economic benefits and have a very important practical significance.
     This paper described the basic requirements, characteristics and classification of power quality and enormous significance of improving the power quality. In addition, this paper focused on one important aspect of the power quality problems——voltage sag, including its concept, causes, harms, monitoring and prediction and suppression methods and so on. On this basis, through analysing and comparing several kinds of voltage sag detection algorithms, we summed up the advantages and disadvantages of various algorithms and their applicable scope.
     At present, DVR (Dynamic Voltage Restorer) is an effective way to solve the problem of voltage sag. This paper introduced dq transformation andαβtransformation method used in the DVR commonly and an improved derivation detection method. Simulation results of two detection methods showed that the improved detection method had shorter delay and better waveform of detection and met the requirements of accuracy and timeliness better.
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