Sensorless Voltage Estimation for Total Harmonic Distortion Calculation Using Artificial Neural Networks in Microgrids

被引：21
作者：
Adineh, Behrooz [1 ]
Habibi, Mohammad Reza [2 ]
Akpolat, Alper Nabi [3 ]
Blaabjerg, Frede [2 ]
机构：
[1] Semnan Univ, Elect Engn Dept, Semnan 12345, Iran
[2] Aalborg Univ, Dept Energy Technol, DK-9220 Aalborg, Denmark
[3] Marmara Univ, Fac Technol, Dept Elect Elect Engn, TR-34722 Istanbul, Turkey
来源：
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS | 2021年 / 68卷 / 07期
关键词：
Microgrids; Voltage control; Voltage measurement; Estimation; Sensors; Neurons; Data centers; Total harmonic distortion (THD); microgrids; artificial neural networks; voltage estimation; power electronics;
D O I：
10.1109/TCSII.2021.3059410
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this brief, a sensorless voltage estimation approach for total harmonic distortion (THD) calculation is proposed to reduce number of voltage sensors in the microgrids. The intelligent proposed method provides a cost-effective and reliable voltage estimation and THD calculation of the desired bus in the multi-bus microgrid based on the artificial neural networks (ANNs). In the proposed method, the output voltage and current of distributed generation units along with the voltage of the desired bus are used to train the ANN offline. The trained ANN is then used to estimate the voltage and calculate both harmonic components, and THD online at the desired bus. The Simulation results show that the proposed approach can effectively estimate the voltage and calculate THD of buses in the multi-bus islanded microgrids.
引用
收藏
页码：2583 / 2587
页数：5
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