The maximum power point tracking (MPPT) is used in photovoltaic system to maximize the photovoltaic array output power , irrespective of temperature , IR radiation, conditions and electrical characteristics of the load. A new MPPT system is developed consisting of DC to DC converter, which is controlled by microcontroller based unit. There are two charging stages for the proposed PV charger. At...

The power converter is one of the essential elements for effective use of renewable power sources. This paper focuses on the development of a circuit simulation model for maximum power point tracking (MPPT) evaluation of solar power that involves using different buck-boost power converter topologies; including SEPIC, Zeta, and four-switch type buck-boost DC/DC converters. The circuit simulation...

This paper presents the modeling of a photovoltaic (PV) module at varying atmospheric conditions such as irradiation and temperature. It also includes the maximum power point tracking (MPPT) of the PV module using conventional perturb and observe (P&O) method and fuzzy logic controller. For the performance analysis, the simulation of the PV module along with MPPT controller is done by using MAT...

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...

Consideration of the Current-voltage (I-V) characteristics variations of solar modules with temperature and irradiations variations is basic for maximum power point tracking (MPPT). Having a simple and accurate mathematical model for the optimize utilization of the solar modules is essential. In this paper, a novel modeling of photovoltaic systems with novel coefficients is proposed for mathema...

Consideration of the Current-voltage (I-V) characteristics variations of solar modules with temperature and irradiations variations is basic for maximum power point tracking (MPPT). Having a simple and accurate mathematical model for the optimize utilization of the solar modules is essential. In this paper, a novel modeling of photovoltaic systems with novel coefficients is proposed for mathema...

The maximum power point tracking (MPPT) controller in the Photovoltaic system is the key to verify all kinds of MPPT control algorithms. But the development of actual controller has the defects of needing long periods, artificial code writing and so on. RT-LAB real-time simulation platform is an advanced model-based engineering design and test application platform. The outstanding real-time per...

Maximum power point tracking (MPPT) is one of the key functions of the solar power management system in solar energy deployment. This paper investigates the design of fuzzy-logic-based solar power MPPT algorithms using different fuzzy input variables. Six fuzzy MPPT algorithms, based on different input variables, were considered in this study, namely (i) slope (of solar power-versus-solar volta...

Variations of marine current speed can lead to strong fluctuations in the power extracted by a marine current turbine (MCT). During short-time period, swell effect is the main cause for the current speed variations. Conventional tip speed ratio Maximum Power Point Tracking (MPPT) algorithm will require the MCT to accelerate or to decelerate frequently under swell effect, which can cause severe ...

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...