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An Adaptive NFC Based Dynamic Analysis of Integrated Offshore Wind Farm with HVDC Link
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Abstract
In this paper, an adaptive NFC based dynamic analysis of integrated offshore wind farm with HVDC Link is proposed. In the proposed technique, the Artificial Neural Network (ANN) is trained with the damping control signals for appropriate power. The ANN output is optimized by using the Evolutionary Programming (EP) algorithm, because the ANN should not minimize the back propagation error entirely. Here, EP evaluates the error between target and the exact damping control signals. From the evaluation, it optimizes the minimized error damping control signals. Then the Fuzzy logic Controller (FLC) generates the accurate damping control signals for the damping controller of the Rectifier Current Regulator (RCR). The proposed method is implemented in the MATLAB/simulink platform. The proposed method’s effectiveness is analyzed with ANN and FLC.
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References
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