Neural network based NARMA controller for a DG in islanding mode

A neural-network based nonlinear autoregressive moving average controller is proposed for a DG in its islanding mode. When the DG is disconnected from the utility grid, its grid connected dq-current controller is disabled and the proposed controller undertakes control task. In the proposed controlle...

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Bibliographic Details
Published in2011 11th International Conference on Intelligent Systems Design and Applications pp. 186 - 189
Main Authors Akbarimajd, A., Sobhani, B., Shayeghi, H.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2011
Subjects
Autoregressive processes
Control systems
Controller
Frequency control
Islanding Event
Load modeling
NARMA-L2
Neural networks
Reactive power
System Identification
Voltage control
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Summary:A neural-network based nonlinear autoregressive moving average controller is proposed for a DG in its islanding mode. When the DG is disconnected from the utility grid, its grid connected dq-current controller is disabled and the proposed controller undertakes control task. In the proposed controller, dynamics of the system is modeled and identified by two MLP neural networks. Then the controller is designed based on the constructed model. The performance of the controller is evaluated by simulations in SIMULINK/MATLAB.
ISSN:2164-7143
2164-7151
DOI:10.1109/ISDA.2011.6121652