Optimizing Power Quality in Grid-Connected Inverters Through Adaptive Harmonic Control

Even grid coupled inverters which are utilized to couple renewable energy sources to utility grids exhibit fourfold to fivefold propensity in the development of issues of power quality, particularly, harmonic distortion and voltage variation. Not only are the working of the electrical system affected by the disturbances, but it also poses problems on the regulatory compliance as well as long-term system reliability. To address the mentioned issues, this paper proposes an adaptive harmonic regulation methoduality based on the Proportional Resonant (PR) controller design. The designed PR controller can have a possibly high selectedness and lack any steady-state error tracking sinuoidal signals, and is, consequently, best applicable in the reduction of low-order harmonic components of the current produced of inverter output currents. This controller reacts dynamically to low, medium and high harmonic content by dynamically adjusting the resonant frequencies in real time and thus gives a wider range of harmonic suppression under a wide range of grid conditions. The strategy, as well, has a feedback that would ensure the stabilization of the voltage level at varied loading and generating conditions. Both MATLAB/Simulink data is tested, and hardware-in-the-loop (HIL) laboratory experiments are interviewed to ensure that the systems are performing properly. The test figures of the completed product include a reduction of as much as 70100 percent in total harmonic distortion (THD), a higher voltage regulation and prolonged transient performance. The proposed system is superior to all conventional PI-based controllers regarding performance, in terms of dynamic tracking as well as harmonic compensation. The occurrence of such outcomes implies that the PR-based adaptive harmonic control method is an impervious and scalable and cost-effective approach of optimising power quality of profile-connected renewable energy sources. The potential of application of the technique is immense when it comes to the implementation of the smart grid conditions particularly when it comes to high penetration of renewable potential environment and non-linear load environment.

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