International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 44 - Number 22 |
Year of Publication: 2012 |
Authors: Hafedh Abid, Fernando Tadeo, Mansour Souissi |
10.5120/6444-8565 |
Hafedh Abid, Fernando Tadeo, Mansour Souissi . Maximum Power Point Tracking for Photovoltaic Panel based on T-S Fuzzy Systems. International Journal of Computer Applications. 44, 22 ( April 2012), 52-58. DOI=10.5120/6444-8565
In this paper we are interested in Maximum Power Point Tracking (MPPT) for Photovoltaic (PV) Panels Based on T-S type Fuzzy Systems. The PV panel model structure is represented by the Takagi-Sugeno (T-S) type fuzzy system. It is described by four local models. Each of them is characterized by an optimal operating point. The power generated by the PV panel depends on the temperature and irradiation. An algorithm based on T-S fuzzy systems is proposed to extract the maximum power generated by the PV panel. The optimal operating point for the PV panel is computed based on the optimal operating point for each local model. A Boost dc-dc converter has been connected between the PV panel and the load to allow the operating point to be varied. The duty cycle for the converter is computed based on the coordinates of all the local models of the PV panel. The operating point is thus optimally tracked based on the MPPT algorithm. Some simulations have been done to check the performance of the proposed algorithm.