The performance of intelligent maximum power point tracking (MPPT) such as Fuzzy logic controller (FLC) and artificial neural network (ANN) are investigated, and compared with traditional constant voltage (CVC), Perturb & observed (P&O) and Incremental conductance (IC) MPPT methods to achieve maximum power point (MPP) through PV system, in this paper. For transient analysis of MPPT assisted pho...

This paper presents a wide range maximum power point tracker (MPPT) using fuzzy logic controller for PV sizing and efficiency improvement. The MPPT consists of a buck boost converter, controlled by a fuzzy logic. The fuzzy has two inputs and single output. Inputs are voltage and current of the PV, while the output is duty cycle for the buck boost. The MPPT effectively tracks at average 97.3% of...

Among all the renewable resources, wind and solar are the most popular resources due to its ease of availability and its ease conversion into electricity. Each renewable resource uses DC/DC boost converter separately with MPPT control to generate power. To increase the efficiency of photovoltaic (PV) system and wind energy system, the maximum power point tracking (MPPT) technology is employed. ...

This paper proposes a novel optimal current given (OCG) maximum power point tracking (MPPT) control strategy based on the theory of power feedback and hill climb searching (HCS) for a permanent magnet direct drive wind energy conversion system (WECS). The presented strategy not only has the advantages of not needing the wind speed and wind turbine characteristics of the traditional HCS method, ...

This paper presents an efficient maximum power point tracking (MPPT) controller for a standalone photovoltaic (PV) generation system. To achieve an efficient MPPT controller, a new boost converter design and an improved MPPT algorithm are incorporated. In the proposed boost converter design, a passive regenerative snubber circuit is included to absorb the energy of stray inductance so as to red...