Journal of Electrical Engineering and Technology

  • 제6권6호
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  • Pages.769-775
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  • 2011
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  • 1975-0102(pISSN)
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  • 2093-7423(eISSN)
대한전기학회 (The Korean Institute of Electrical Engineers)
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Voltage Quality Improvement with Neural Network-Based Interline Dynamic Voltage Restorer

  • 투고 : 2010.10.19
  • 심사 : 2011.09.01
  • 발행 : 2011.11.01
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초록

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.

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참고문헌

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피인용 문헌

  1. Performance analysis of dynamic voltage restorer using improved PSO technique pp.1362-3060, 2018, https://doi.org/10.1080/00207217.2018.1519859