Improvements to MPPT for PV generation based on Mamdani and Takagi-Sugeno fuzzy techniques

The positive impact of solar generation in the current power systems is growing rapidly due to energy increasing demands, depletion of fossil fuel sources and the environmental requirements of pollution reduction. Maximum Power Point Tracking (MPPT) methods are integrated with Photo Voltaic (PV) systems in order to maximise the energy obtained under every weather conditions and deal with the associated current - voltage nonlinearities. Two of the most applied and studied MPPT methods are the well known Perturb and Observe (P&O) and Incremental Conductance (IC). In this document, the design of a Mandani and Takagi - Sugeno (T-S) Fuzzy Logic Controllers (FLC) for the enhancement of these MPP trackers are presented. The basics of P&O and IC methods are shown and compared with the given approaches under a simulation basis. The energy extracted performance index and the speed up of convergence show significant achievements of the fuzzy controllers proposed.

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