The power quality measurements and real time monitoring in distribution feeders

Abstract

Power quality (PQ) is a measure of the electrical system or electrical grid to deliver “clean” and stable electrical power. Due to the increase in demand of energy per capita day by day, the loads that cause instabilities on the utility grid, subsequent deviation in the current and voltage. Mainly the industries are suffering from poor PQ which consequences not only increasing the energy demand and it is also reduce the production. These are the methods and equipment’s are used for the power quality measurements. When the industries operating with high power equipment, the PQ disturbances such as voltage and current harmonics , switching transients and RMS magnitude variations levels are very high. These are highly affecting the power factor (P.F) of the system and load reactive power consumption increased increases which leads the high power losses. In this paper, the method of PQ disturbances measurements has been proposed at different load condition at the different times during at point of common coupling (PCC). Numerous studies have conducted about to investigated PQ examinations. Nevertheless, the reported PQ studies explorations are done in simulation level. Therefore, the proposes the real time PQ study at distribution feeders PCC point using power quality analyzer and reports the materialized producers of time based measurements. This examination produce will be a valuable guide for electrical engineers, and explore the prospects accessible by proposed methods for additional enhancement PQ trouble shooting in order to analyses and solve serious PQ problem. This paper provides an experimental approach of PQ real-time measurements in distribution Feeders using PQ analyzer. The study is conducted high-rated and low- rated electric machinery at the different feeders PCC level points for and provides the PQ problem optimize method with respect to events. This comprehensive PQ method can be exercise for grid PQ towards to locate the methods for the each optimization individual PQ problems.