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Volumn , Issue , 2012, Pages 330-335

A novel method of maximum power point tracking for a SRG based wind power generation system using AI

Author keywords

Artificial Neural Network; Genetic Algorithm; Maximum Power Point Tracking; Switched Reluctance Generator; Wind Power Generation

Indexed keywords

EXCITATION CURRENTS; MAXIMUM POWER POINT TRACKING; MAXIMUM POWER POINT TRACKING TECHNIQUES; ROTOR SPEED; SWITCHED RELUCTANCE GENERATORS; WIND POWER GENERATION SYSTEMS; WIND SPEED;

EID: 84860895294     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PEDSTC.2012.6183350     Document Type: Conference Paper
Times cited : (10)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.