一种基于LabVIEW和低成本数据采集(DAQ)的智能记录功率分析仪样机,可作为智能可再生监测系统

Chow Chompoo-inwai, Jade Mungkornassawakul
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引用次数: 25

摘要

如今,为了表明泰国现有电力系统的质量,包括新安装的分布式可再生能源,许多价格昂贵的电能质量分析仪正在大多数地区使用。本文提出了这种设备的替代方案,称为智能记录功率分析仪原型(SRPA),使用LabVIEW™算法和低成本数据采集(DAQ)设备的组合。新提出的一套设备不仅能够实现与目前使用的功率分析仪相同的精度和功能,而且还具有支持泰国未来智能电网系统的先进功能。所提出的SRPA能够在系统正常运行和发生故障时同时监测/记录数值数据和波形,例如电压、电流、频率、实功和无功、视在功率、能耗、功率因数、谐波畸变、电压/频率波动、电压不平衡、下垂膨胀、对称分量、闪烁和多种故障检测。本文将对SRPA的硬件配置和LabVIEW™算法进行详细的阐述。通过将SRPA的测量结果与实验室环境和两个可再生能源发电厂的标准测量单元进行比较,在各种可控条件下严格完成了精度验证过程。实验结果表明,所提出的SRPA在精度上是相当的,并且在功能和灵活性方面远远优于一些参考文献。两个可再生能源发电厂的实验结果:(1)一个130千瓦的沼气养猪场发电厂和(2)一个1兆瓦的太阳能发电厂表明,与工厂安装的测量装置相比,所提出的SRPA是高效可靠的。平均误差小于2%。拟议的SRPA还能够建立一个网络,这将对未来的智能电网/微电网在线监测系统有潜在的好处。
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A Smart Recording Power Analyzer Prototype Using LabVIEW and Low-Cost Data Acquisition (DAQ) in Being a Smart Renewable Monitoring System
Nowadays, to indicate the quality of Thailand's existing power system including the newly-installed distributed renewable energy sources, a number of pricy power quality analyzers are being used in most areas. This article proposes an alternative of such equipment called a smart recording power analyzer prototype (SRPA) using a combination of LabVIEW™ algorithms and a low-cost data acquisition (DAQ) device. The newly-proposed set of equipment not only has the ability to achieve the same accuracy and functionalities of currently-used power analyzers, but also has the advanced features supporting Thailand's future-to-come smart grid system. The proposed SRPA is capable of simultaneous monitoring/recording both numerical data and waveforms in normal system operating conditions and when fault occurs e.g. voltage, current, frequency, real and reactive power, apparent power, energy consumption, power factor, harmonic distortion, voltage/frequency fluctuation, voltage unbalance, sag-swell, symmetrical components, flickers and many kind of faults detection. In this paper, the SRPA hardware configurations and LabVIEW™ algorithms will be thoroughly elaborated. The accuracy verification process has been strictly done under various controllable conditions by comparing the results of the SRPA with the standard measuring units in both laboratory environment and two renewable energy power plants. Experimental results in the laboratory illustrate that the proposed SRPA is comparable in accuracy and far superior to several references in terms of functionalities and flexibilities. Experimental results from the two renewable power plants: (1) a 130kW-biogas pig farm power plant and (2) a 1MW solar power plant demonstrate that the proposed SRPA is highly efficient and reliable compared to the factory-installed measuring units. The average percent errors are less than 2%. The proposed SRPA also has the ability to be set up as a network which will be potentially beneficial for a future smart grid/micro grid online monitoring system.
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