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A Novel Control Method for DSTATCOM Using Artificial Neural Network

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3 Author(s)
Yang Xiao-ping ; Xi'an University of Technology/Institute of Water Resources and Hydro-electrical Engineering ; Zhong Yan-ru ; Wang Yan

In this paper, a new control method for distribution static compensator (DSTATCOM) using artificial neural networks (ANN) instead of the conventional direct controller is presented. A feedforward three-layer neural network is adopted to control the output compensating currents. This is accomplished by producing the appropriate switching patterns of the IGBTs. A backpropagation algorithm trains this network. A practical case with PSCAD/EMTDC is presented to check the proposed control performance. The simulation results show a better source current waveforms and a near unity power factor operation is achieved. This technique offers an alternative to the multi-pulse techniques that require complex magnetic circuit arrangements as well as to the conventional PI controller that the parameters are hard to determine

Published in:

Power Electronics and Motion Control Conference, 2006. IPEMC 2006. CES/IEEE 5th International  (Volume:3 )

Date of Conference:

14-16 Aug. 2006