Neuro-Fuzzy Systems for Intelligent Reactive Power Control
نویسندگان
چکیده
In this paper, we present a neuro-fuzzy model for intelligent reactive power control and efficient utilization of power. The proposed neuro-fuzzy model will assist the conventional power control systems with added intelligence. For on-line control, voltage and current are fed into the network after preprocessing and standardization. The model was trained with a 24-hour load demand pattern and performance of the proposed method is evaluated by comparing the test results with the actual expected values. For performance comparison purposes, we also used an artificial neural network trained by a backpropagation algorithm. Test results reveal that the proposed neuro-fuzzy model performed better than the neural network.
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