REAL-TIME REMOTE POWER QUALITY MONITORING USING RASPBERRY PI

Awangku Muhamad Syahiran, Awangku Muhamad (2022) REAL-TIME REMOTE POWER QUALITY MONITORING USING RASPBERRY PI. [Final Year Project Report] (Unpublished)

PDF (Please get the password by email to repository@unimas.my , or call ext: 082-583914/3933/ 3942) Awangku Muhamad Syahiran Bin Awangku Muhamad ft.pdf Restricted to Registered users only Download (4MB)

Abstract

Early detection of power quality issues, before it escalates and becomes difficult to resolve, reduces the chance of costly interruptions to operations and, in certain cases, eliminates the requirement for emergency repairs at uncomfortable circumstances. Power quality analysis can distinguish current operating parameters of electrical equipment against the manufacturer's baseline to detect any issues that could lead to poor operation or failure by utilising power quality monitoring technology that can identify problems such as power interruptions, sags and swells, and bad power factor. The capability to review collected and continually recorded waveforms aids in the identification of issues before an undesirable event occurs again. Power quality is an issue that is becoming increasingly significant to all levels of power users. Sensitive equipment and nonlinear loads are becoming more frequent in both the industrial/commercial and home sectors. As a result, there is a growing awareness of power quality among energy customers. Occurrences influencing the energy supply that were earlier seen as acceptable by electricity providers and consumers are now frequently regarded as a concern among its users. This study addresses the topic of development real-time remote power quality monitoring using Raspberry Pi and monitor, analyse and store the data of the power quality issues in electrical power supply.

Actions (For repository members only: login required)

View Item