HAIT Journal of Science and Engineering B
Volume 2, Issues 5-6, pp. 673-689
© 2005 Holon Academic Institute of Technology

 

ANFIS based HVDC control and fault identification of HVDC converter

Narendra Bawane1,*, Anil G. Kothari2, and Dwarkadas P. Kothari3

1Department of Electronics, Government Polytechnic Institute
Sadar, Nagpur 440001, India
2Department of Electrical Engineering
Visvesvaraya National Institute of Technology, Nagpur 440011, India
3Centre For Energy Studies, Indian Institute of Technology,
Hauz Khas, New Delhi 110016, India
*Corresponding author: nbawane_ngp@sancharnet.in
Received 1 March 2005, accepted 7 June 2005

 

This paper presents computationally simple and accurate expert system for fault identification of HVDC Converter and Control of HVDC system. Adaptive Neuro-Fuzzy Inference System (ANFIS) is applied and discussed in detail. Instead of using separate fault identifier for each valve, an integrated fault identifier is developed which is effective for complete bridge Converter. Fault identifiers are tested for HVDC with strong and weak ac sides. Fault identification methods are applicable in both inversion and rectification mode. ANFIS based current control is also developed for a HVDC system. Several digital simulation results are presented to validate the procedure outlined in the paper. ANFIS based control can be easily combined with the fault identifier to form integrated system, which can improve dynamic response of HVDC systems.

 

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