A novel neuro-fuzzy control scheme for wind-driven DFIG with ANN-controlled solar PV array

Author:

Singh Arunesh Kumar,Saxena Abhinav

Publisher

Springer Science and Business Media LLC

Subject

Management, Monitoring, Policy and Law,Economics and Econometrics,Geography, Planning and Development

Reference23 articles.

1. Babouri, R., Aouzellag, D., & Ghedamsi, K. (2013). Introduction of doubly fed induction machine in an electric vehicle. Energy Procedia, 36, 1076–1084.

2. Behera, R. K., & Gao, W. (2010). A novel controller design for grid-side converter of doubly fed induction generator for wind power interface: An experimental investigation. Electric Power Components and Systems, 38, 1531–1545.

3. Bezza, M., Moussaoui, B. E. L., & Fakkar, A. (2012). Sensor less MPPT fuzzy controller for DFIG wind turbine. Science Direct, 18, 339–348.

4. Cortajarena, J. A., & de Marcos, J. (2013). Neural network model reference adaptive system speed estimation for sensorless control of a doubly fed induction generator’. Electric Power Components And Systems, 41(1146–1158), 2013.

5. Demirbas, S. (2017). Self-tuning fuzzy-PI-based current control algorithm for doubly fed induction generator. IET Renewable Power Generation, 11(13), 1714–1722.

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