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Improvement of Power System Stability using Artificial Neural Network based HVDC Controls | ||
Majlesi Journal of Electrical Engineering | ||
مقاله 2، دوره 7، شماره 2، شهریور 2013، صفحه 12-20 اصل مقاله (439.13 K) | ||
نوع مقاله: Review Article | ||
نویسندگان | ||
Nagu Bhookya* 1؛ RamanaRao P. V2؛ M. Sydulu2 | ||
1National Institute of Technology- Warangal (Deemed University) Andhra Pradesh, India - 506004 | ||
2National Institute of Technology-Warangal/Dept. of Electrical Engineering, Warangal, India | ||
چکیده | ||
In this paper, investigation is carried out for the improvement of power system stability by utilizing auxiliary controls for controlling HVDC power flow. The current controller model and the line dynamics are considered in the stability analysis. Transient stability analysis is done on a multi-machine system, where, a neural network controller is developed to improve the stability of the power system and to improve the response time of the controller to the changing conditions in power system. The results show the application of the neural network controller in AC-DC power systems. | ||
کلیدواژهها | ||
Department of Electrical Engineering؛ en؛ NIT-Warangal | ||
مراجع | ||
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[11] V. K. Sood, N. Kandil, R. V. Patel and K. Khorasani, “Comparative Evaluation of Neural-Network-Basedand PI Current Controllers for HVDC Transmission”, IEEE Transactions on Power Electronics, VOL. 9, NO. 3, May 1994. | ||
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