Reduce harmonics using PI controller in d-q reference frame for active power filter

This generated harmonics due to nonlinear load affects the voltage waveform. Most power systems can accommodate a certain level of harmonic but we have problems when harmonics become an indicative component of overall load. As these higher frequency harmonics flow through the power system affects the communication, overheating and hardware damage such as overheating of electrical equipment, cables, transformers, generators. High voltages and circulating currents caused by harmonic resonance. Hence for the detection of these harmonics current total harmonic distortion the use of the passive power filter, active power filter and hybrid power filter. Then, as an investigation this paper extends the existing comparisons found in with a proposed simulation study. The study isolates the harmonic detection method from the active filter and out places the input waveform from the sensors with a known waveform, artificially constructed. Thus, the output waveform that should be expectable now is noted and differentiates between each analyzed harmonic detection method. Traditionally passive power filter was used as a solution for this problem, caused by the system harmonics, since they are easy to design, having simple structure low cost, high efficiency, lower voltage regulation and phase advanced synchronous capacitors etc. However traditionally controllers have many drawbacks. Which provides only fixed compensation, generates resonance problem and are bulky in size. To overcome these problems active power filter are introduced satisfy for the current harmonics and to minimize the THD. This project the comparisons will be found with a proposed simulation gives separation of the harmonic identified method from the active filter and replaces the input signal from the detector with a familiar signal, Also find the output signal that should be predictable now is noted and differentiate between each estimated harmonic detection schemes. This project the most relevant results of the simulations. And finally compare their results with DFT analysis methods with PI controller d-q reference frame in SAPF.