Voltage SAG mitigation by Dynamic Voltage Restorer (DVR) using MATLAB Simulink / Mohammad Hafiz Saad

Voltage sags and momentary power interruptions are probably the most important power quality problem affecting industrial customers. Many industrial customers using sensitive equipments suffer a huge loss because of sag. If the magnitude and duration of voltage sag exceed the sensitivity threshold o...

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書誌詳細
第一著者: Saad, Mohammad Hafiz
フォーマット: 学位論文
言語:English
出版事項: 2010
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オンライン・アクセス:https://ir.uitm.edu.my/id/eprint/98500/1/98500.pdf
https://ir.uitm.edu.my/id/eprint/98500/
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要約:Voltage sags and momentary power interruptions are probably the most important power quality problem affecting industrial customers. Many industrial customers using sensitive equipments suffer a huge loss because of sag. If the magnitude and duration of voltage sag exceed the sensitivity threshold of the equipment, the equipment can be damaged. Sensitivity threshold can be defined as the minimum rms voltage for a certain duration a piece of equipment can withstand without disoperation or failure. Generally, voltage sags are caused by fault in transmission and distribution system. The purpose of this project is to model and perform the simulation of voltage sag mitigation using series converter, usually denoted as Dynamic Voltage Restorer (DVR). DVR has become popular due to cost effective solution for the protection of sensitive loads from voltage sags. The equipment studied in the thesis exploit the fast control actions that can be taken by power electronics devices, which are much faster than the speed of conventional equipment and protection systems. In this way, the power quality of distribution systems is improved, regarding duration and magnitude of voltage sags and momentary interruptions, which are the most relevant types of disturbances in distribution systems. The proposed model and simulation results are carried out using MATLAB Simulink software to observe performance and validate the effectiveness of the proposed control method of DVR.