Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

Power Quality Enhancement of Grid Connected Wind Farm Using Dynamic Voltage Restorer (Adama ⅰ Wind Farm in Ethiopia)

Version 1 : Received: 7 August 2022 / Approved: 10 August 2022 / Online: 10 August 2022 (09:46:15 CEST)

How to cite: Desalegn, M.M.; Goa, T. Power Quality Enhancement of Grid Connected Wind Farm Using Dynamic Voltage Restorer (Adama ⅰ Wind Farm in Ethiopia). Preprints 2022, 2022080199. https://doi.org/10.20944/preprints202208.0199.v1 Desalegn, M.M.; Goa, T. Power Quality Enhancement of Grid Connected Wind Farm Using Dynamic Voltage Restorer (Adama ⅰ Wind Farm in Ethiopia). Preprints 2022, 2022080199. https://doi.org/10.20944/preprints202208.0199.v1

Abstract

Rising sensitivity of the loads with respect to power quality has grown-up the consideration of power system study and power quality enhancement systems. The fluctuation of voltage outside the normal working range due to faults may lead to unsuitable interruption of wind turbines. This thesis present 1.5MW grid connected Adama Ⅰ Wind Farm in Ethiopia with the objectives to capture the optimal power from the wind and ensure voltage source for sensitive load. This paper deals with the effective voltage sag mitigation and Harmonic distortion effectively met IEEE 519-1992 standard under all Phase to ground fault compensation by using Dynamic Voltage Restorer (DVR), to regulate the terminal voltage of the wind farm and safe operation of sensitive load. The DVR utilizes a feed forward control-based algorithm to generate PWM. The simulation results are going to be carried out by MATLAB-Simulink to verify the operation and effectiveness of DVR during balanced voltage sag and swell conditions.

Keywords

Adama Ⅰ Wind Farm; SRF; Feed forward control; Voltage Sag; DVR; MATLAB-Simulink

Subject

Engineering, Electrical and Electronic Engineering

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