MPPT of a standalone wind energy conversion system using magnetostrictive amorphous wire speed sensor and fuzzy logic
| dc.contributor.author | Ndirangu, J. G. | |
| dc.contributor.author | Nderu, J. N. | |
| dc.contributor.author | Muriithi, Christopher M. | |
| dc.contributor.author | Muhia, A. M. | |
| dc.date.accessioned | 2017-09-11T10:29:02Z | |
| dc.date.available | 2017-09-11T10:29:02Z | |
| dc.date.issued | 2014 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/2830 | |
| dc.description.abstract | This paper details the design and implementation of a Fuzzy Logic based controller for Maximum Power Point Tracking (MPPT) of a case study standalone wind energy conversion system(WECS). A magnetostrictive amorphous wire speed sensor is used for rotational speed measurement to provide an inexpensive, fast and robust solution to speed measurement.The designed MPPT algorithm includes a peak detection feature and a self-tuning capability which makes it intelligent and generic. The designed fuzzy logic controller determines the appropriate duty cycle D that yields optimum speed for maximum power extraction from the WECS for various wind speeds. It then applies this D to the DC-DC boost converter to control the speed of rotation of the PMSG to track maximum power point curve. The designed system was implemented on a real case study wind turbine under controlled conditions. Experimental results show that the designed system was able to significantly increase the maximum electrical power extracted for varying wind speeds. | en_US |
| dc.language.iso | en | en_US |
| dc.subject | WECS, | en_US |
| dc.subject | Magnetostrictive Amorphous wire speed sensor, | en_US |
| dc.subject | PMSG, | en_US |
| dc.subject | Fuzzy Logic Controller, | en_US |
| dc.subject | MPPT. | en_US |
| dc.title | MPPT of a standalone wind energy conversion system using magnetostrictive amorphous wire speed sensor and fuzzy logic | en_US |
| dc.type | Technical Report | en_US |
