Performance and Analysis of Fuzzy Logic Controller Based Power Quality Monitoring and Improvement System.

Abstract

Power quality is an issue that necessities ceaseless consideration and has progressively been utilized as the key pointer for benchmarking of the genuine execution of numerous electrical utilities. Since nature of voltage holds huge significance in the usefulness of any power system, checking of voltage quality has turned into a noteworthy territory of examination. The extraordinary budgetary weight required may not be ideal to give estimations at each bus and line in a system in both transmission and distribution levels. Be that as it may; to settle on the remedial measures, it is basic to recognize the sort and the area of the blame in a power system. In this thesis artificial intelligence-based power monitoring and improvement system has been discussed. Monitoring and controlling of power quality is imperative to ensure power quality. Mishaps regularly happen in view of awful power supply quality. So, Government body and client of electric power all need to enhance control of power quality. Monitoring and analysis System of power quality is widely utilized. Checking based on LabVIEW is produced in this investigation. Different power quality parameters like Voltage, Current, Voltage THD, Current THD, Active power, Apparent power, Reactive power, Power factor, Active energy, Reactive energy, apparent energy, THD after improvement etc. has been continuously monitored in this project.