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논문 기본 정보

자료유형
학술저널
저자정보
Seyedreza Aali (Islamic Azad University) Daryoush Nazarpour (Urmia University)
저널정보
대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.6 No.6
발행연도
2011.11
수록면
769 - 775 (7page)

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초록· 키워드

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Custom power devices such as dynamic voltage restorer (DVR) and DSTATCOM are used to improve the power quality in distribution systems. These devices require real power to compensate the deep voltage sag during sufficient time. An interline DVR (IDVR) consists of several DVRs in different feeders. In this paper, a neural network is proposed to control the IDVR performance to achieve optimal mitigation of voltage sags, swell, and unbalance, as well as improvement of dynamic performance. Three multilayer perceptron neural networks are used to identify and regulate the dynamics of the voltage on sensitive load. A backpropagation algorithm trains this type of network. The proposed controller provides optimal mitigation of voltage dynamic. Simulation is carried out by MATLAB/Simulink, demonstrating that the proposed controller has fast response with lower total harmonic distortion.

목차

Abstract
1. Introduction
2. The Proposed IDVR in a Distribution System Based on Neural Network
3. Control Strategy
4. ANN Controller Based on IDVR
5. Results of Simulation
6. Discussion on the total harmonic distortion
7. Conclusion
Appendix
References

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