Revista: | Journal of applied research and technology |
Base de datos: | PERIÓDICA |
Número de sistema: | 000394052 |
ISSN: | 1665-6423 |
Autores: | Yu, Kuo Nan1 Liao, Chih Kang1 |
Instituciones: | 1National Chin-Yi University of Technology, Department of Electrical Engineering, Taichung. Taiwán |
Año: | 2015 |
Periodo: | Abr |
Volumen: | 13 |
Número: | 2 |
Paginación: | 238-244 |
País: | México |
Idioma: | Inglés |
Tipo de documento: | Artículo |
Enfoque: | Aplicado, descriptivo |
Resumen en inglés | The maximum power point tracking is a very important scheme of many renewable energy. It can increase the power efficiency. However, many traditional methods has defects for the applications. This study proposed a novel fractional order incremental conductance algorithm (FOINC) for the maximum power point tracking design of small wind power systems. The proposed method is prompt in the transient of maximum power point tracking and has good steady-state response. Moreover, it can increase the maximum power tracking efficiency of system without changing the wind power system equipments. The comparison between the traditional incremental conductance method (INC) and Perturbation and Observation (P & O) proved the reliability and effectiveness of the proposed method |
Disciplinas: | Ciencias de la computación, Ingeniería |
Palabras clave: | Ingeniería eléctrica, Energía eólica, Generación de energía, Algoritmos, Conductancia, Orden fraccionario |
Keyword: | Computer science, Engineering, Electrical engineering, Wind power, Power generation, Algorithms, Conductance, Fractional order |
Texto completo: | Texto completo (Ver HTML) |