Takagi-Sugeno fuzzy approach for power optimization in standalone photovoltaic systems

This paper presents Takagi-Sugeno (T-S) Fuzzy based approach for operating the solar panel in Standalone Photovoltaic (SPV) system at Maximum Power Point (MPP). The SPV system incorporated with T-S Fuzzy algorithm can be represented by four local models and each model in turn is characterized by an optimal operating point. This optimal operating point of local models pave a way to compute the optimal operating point of PV panel. The duty cycle of the boost converter placed between the panel and load has to be appropriately varied based on the computed value, allowing the panel to provide optimal power. The performance of T-S Fuzzy algorithm applied to the boost converter present in SPV system is tested in simulation for various operating conditions and compared with the performance obtained using Incremental Conductance Algorithm. The results indicate the effectiveness of the proposed T-S Fuzzy algorithm in tracking maximum power than the Incremental Conductance Algorithm.