A novel intrinsic space vector transformation based solar fed dynamic voltage restorer for power quality improvement in distribution system

被引:20
作者
Babu, Viswaprakash [1 ,2 ,3 ]
Ahmed, K. Shafeeque [1 ,2 ]
Shuaib, Y. Mohamed [1 ,2 ]
Mani, Manikandan [1 ,3 ]
机构
[1] Deemed Univ, BS Abdur Rahman Crescent Inst Sci & Technol, Dept EEE, Chennai, Tamil Nadu, India
[2] Deemed Univ, BS Abdur Rahman Crescent Inst Sci & Technol, Chennai, Tamil Nadu, India
[3] Jyothishmathi Inst Technol & Sci, Karimnagar, Telangana, India
关键词
Dynamic voltage restorer; Enhanced space vector pulse width modulation; Intrinsic space vector transformation; Voltage source inverter; Total harmonic distortions; DVR; CONVERTERS; DESIGN; COMPENSATION;
D O I
10.1007/s12652-020-02831-0
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Electric power aims to generate electrical energy and distribute to the end-user application at an acceptable voltage level. The quality of power will be affected by various factors like voltage sag, swell, harmonic and Power interruptions, etc. The major reason behind the deteriorations of the power quality is nonlinearity in loads which draws out harmonics. Due to this nonlinearity, all loads cause disturbances in the voltage waveform. In this paper, an Intrinsic Space Vector Transformation (ISVT) based solar fed Dynamic Voltage Restorer (DVR) is connected in series with the power grid to compensate for the reactive power. The operation of the proposed DVR model produces reactive power based on the voltage sag and voltage swell. The ISVT controller produces an appropriate pulse to the voltage source inverter (VSI), which delivers a suitable reactive power to compensate for the sag and swell voltages in the grid. Moreover, solar fed DVR reduces Total Harmonic Distortion (THD) value at the time of voltage sag mitigation. The performance of the proposed system is evaluated by analysing the power consumption and efficiency. Finally, the proposed system is compared with other existing methods. The simulation is carried out using MATLAB SIMULINK 2017b software.
引用
收藏
页数:16
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