[This article belongs to Volume - 54, Issue - 03]
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-19-10-2022-297

Title : Voltage SAG Mitigation for Grid Connected Hybrid PV-Wind Power System Using Battery and SMES Based Dynamic Voltage Restorer
Om Prakesh Tolla1 and Dr Pratap Sekhar Puhan2
 
Abstract :

"Green" power can only be produced by using renewable energy sources, which are plentiful and long lasting. Intermittent energy sources such as solar photovoltaic’s and wind energy may experience fluctuations in power production due to the weather and the amount of sunlight they get respectively. To dampen distribution-side variations and shield mission-critical loads from power failures. To protect sensitive loads from being of affected by the distribution side protection and faults DVR is commonly used popular tool is the dynamic voltage Restorer,(DVR). The focus of this study is on strengthening the resilience of a hybrid PV-Wind power system to voltage fluctuations at the grid level. When there is a voltage drop, the power flow is corrected using a Dynamic voltage restorer (DVR) equipped with batteries and super magnetic energy storage (SMES). At the point of common coupling (pcc) the magnitude and angle of the three-phase voltage are typically locked by the pre sag compensation utilized. The ML-DVR circuit is shielded from interference thanks to the transformer, which isolates it from the mains. When building the ML-DVR, it is essential to consider the VSI capacity and the link filter values that connect the injection transformer and the inverter. The purpose of this study is to provide a novel design for a Dynamic Voltage Restorer (ML-DVR) Smaller link filter values and higher voltage source inverter (VSI) capacities increase the system's capacity to dampen voltage harmonics, swell, and sag in response to a wide range of fault circumstances. There is hope that the innovative RLC filter can do away with switching harmonics. A lower inductance requires less of a dc voltage supply. Furthermore, the modern ML-DVR architecture has the potential to enhance voltage quality by the battery and super magnetic energy storage (SMES) based DVR isused as a compensating device incase of voltage sag condition. It has been shown how the model's RLC filter parameters are organized generally. The new DVR, as recommended by ML, is a MATLAB-designed and -simulated Dynamic Voltage Restorer (DVR) with control over the voltage.