基于集总补偿电容器组的物联网功率因数校正控制

Arin Juan Sari, M. A. Murti, I. P. Wibawa
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引用次数: 2

摘要

功率因数通常被用作系统中电源供应好坏的指标。家庭和工业对感应无功负载的需求会导致功率因数的降低。功率因数的降低是一个必须最小化的问题,因为它会使电力质量不是最佳的,这对消费者有害,并降低向电力供应商供应电力的能力。电容无功功率可以通过安装电容器来减少这种损耗。因此,我们需要一种工具,可以提高功率因数值,提高配电系统在感性负荷下的效率。该工具将使用集总补偿电容器组,使用无功补偿器计算方法来获得所需的电容器电容。在本研究中,使用NodeMCU ESP8266制作了一个功率因数修复工具。微控制器和一个android应用程序作为与物联网服务器的连接工具。通过与HTTP协议的速度和能耗对比,选择MQTT协议作为物联网协议。此外,在本研究中,增加了推荐功能来计算安装在设备中的电容电容器的值,使其在安装过程中更容易使用。该系统在额定功率为900瓦的房屋中实施,并使用4个电容器,每个电容器的尺寸以微法拉$(\mu F)$为2.5、3、5和5的单位。结果需要1分45秒才能达到0.95功率因数的设定点,平均误差为0.8%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Power Factor Correction Control Based on Internet of Things Using Lumped Compensation Capacitor Bank
Power factor is often used as an indicator of a good or bad power supply in a system Electrical power in household and industrial needs for inductively reactive loads can cause a decrease in power factor The decrease in power factor is a problem that must be minimized because it can make the quality of electrical power not optimal which is detrimental to consumers and a decrease in the ability to supply electrical power to electrical energy suppliers. Capacitive reactive power can reduce this loss by installing capacitors. Therefore, we need a tool that can improve power factor value and increase efficiency for distribution systems under inductive loads. The tool that will be made using a lumped compensation capacitor bank uses the reactive power compensator calculation method to get the required capacitor capacitance. In this research, a power factor repair tool has been made using the NodeMCU ESP8266. Microcontroller and also an android application as a connection tool with the Internet of Things server. MQTT protocol was chosen as IoT protocol after comparing speed and energy consumption with HTTP protocol. Also in this research, added recommendation features to calculate the value of capacitance capacitors that are installed in the devices to make them easier to use during installation. The system is implemented in a house with a power rating of 900 Watt and uses 4 capacitors with each size in micro Farad $(\mu F)$ units of 2.5, 3, 5, and 5. The result takes 1 minute 45 seconds to reach a set point of 0.95 Power Factor with an average error of 0.8%.
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