In this paper, a simulation model of a solar cell is defined to allow estimation of the electrical behavior of the cell with respect changes on environmental parameter of temperature and irradiance. Maximum Power Point Trackers (MPPT) play an important role in photovoltaic (PV) power systems because they maximize the power output from a PV system for a given set of conditions, and therefore max...

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...

Interharmonic is an emerging issue in photovoltaic (PV) systems. It has been revealed previous studies that the maximum power point tracking (MPPT) control one potential source for interharmonics. In cascaded H-bridge (CHB) PV inverters, if MPPT perturbations of CHB cells are in-phase, sum voltages all will oscillate with a higher amplitude, leading to amplification interharmonics delivered gri...

This paper develops a PI-like interval type-2 (IT2) fuzzy maximum power point tracking (MPPT) control method for a class of wind power generation and battery charging systems with DC/DC buck converters. After the brief model descriptions of the wind power turbine, generator and DC/DC buck converter, the proposed MPPT controller is designed using IT2 fuzzy control logics and its asymptotical sta...

This paper deals with the design and analysis of standalone solar PV based boost converter with P& O (Perturb and Observe) MPPT (Maximum Power Point Tracking) Techniques. An intermediate converter can therefore increase efficiency by matching the PV system to the load and by operating the solar cell arrays at their maximum power point. MPPT (Maximum Power Point Tracking) controller is used for ...

This paper presents a maximum power point tracking (MPPT) algorithm of a PV system under real climatic conditions. The proposed MPPT is based on the perturbation and observation (P&O) strategy that control the load voltage to ensure optimal operating point of a PV system. The proposed MPPT algorithm has been implemented by a dSPACE DSP controller. The experimental results show that the PV power...

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, ...