Development of power quality analysis using labview

Abstract

As the world’s population grows, the energy demand has dramatically increased. Where commercial and industrial buildings are involved, energy consumption exceeds the need, resulting in much waste. Inefficient energy management in buildings can lead to high operating costs. Currently, fossil fuels are the primary energy source. Due to the high consumption of this energy, it will cause a problem to the environment. Today, energy from the electrical has become a significant demand. Everyone uses energy to a certain extent to increase the use of various equipment on the building. Ensuring the perfect operation of the equipment is essential. Uninterruptible power supplies are essential for commercial and industrial buildings. Maintaining the quality and reliability of power supplied to the system is essential. Monitoring the operation of equipment can also play a significant role. Hence, the commonly known problem nowadays is the efficiency of the energy. This project aims to develop a low-cost power quality analysis using LabVIEW to analyse the power quality between the power supplies with the load and provide a result for further action of proper mitigation. Using the Fluke 435, the parameters are measured from a specific location determined by the power quality researcher, and then the data are stored in the device. These data are valuable for this project because it contains a parameter complete with the date and time for each measured data. Therefore, when this data is analysed, the result is more specific, showing when it occurred and the types of disturbance. The data was then uploaded to the developed system and displayed the result in graphical information using LabVIEW software to help the researcher quickly analyse the power quality and event interference, view the historical data, and monitor energy consumption. Various types of disturbance are displayed on the LabVIEW page, such as overvoltage, undervoltage, voltage sag, voltage swell, unbalance voltage, unbalance current, frequency, power factor, power, voltage harmonics, current harmonics, and flicker. The results showed that the system could analyse the data stored in the database and translate the information needed in a graphical user interface for analysis and proper mitigation.