Abstract
In the application of electrical power quality control, the necessity for data processing becomes very important. The measurement data obtained is the latest data and measured in real time with good time resolution and with low error. The object of research is the quality of electric power, the research is about ways of measuring quality of electrical power to obtain accurate data in accordance with actual conditions. This method is capable of measuring data of electrical power quality that changes very quickly with a low error. This data is used as a basis for improving the quality of electric power accurately and accurately.
Highlights
The high level of harmonic distortion in the electrical power distribution system can result in overheating of the equipment and the conductors, permanent damage for some sensitive electronic equipment, reduced equipment lifetime and cause reading errors up to 17.2% on kWh meters [1]
Apart from the load used by consumers, harmonics can come from utilities themselves.Several methods for identifying harmonic sources have been found, such asharmonic identification methods based on Thevenin Theorem, active power method, Norton Theorem method, time-reactive power gradient method, and harmonic and interharmonic estimation methods [2]
The result is a value that the approximation of actual value with a level of accuracy as desired.In this case there will be an error because the resulting value is not exactly the same as the actual value.One type of error is a truncation error that is related to the number of sampling that is limited to a certain term (n-th).Truncation error occurs because it doesn't use all the values in the series, where the number of rows is infinite
Summary
1,2,3) Electrical Engineering Department, Politeknik Negeri Jakarta, Depok, Indonesia. Abstract.In the application of electrical power quality control, the necessity for data processing becomes very important. The object of research is the quality of electric power, the research is about ways of measuring quality of electrical power to obtain accurate data in accordance with actual conditions. This method is capable of measuring data of electrical power quality that changes very quickly with a low error. This data is used as a basis for improving the quality of electric power accurately and accurately
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