In this paper a new maximum power point tracking algorithm for photovoltaic arrays is proposed. The algorithm detects the maximum power point of the PV. The computed maximum power is used as a reference value (set point) of the control system. ON/OFF power controller with hysteresis band is used to control the operation of a Buck chopper such that the PV module always operates at its maximum po...

In this paper, we analyse and demonstrate an energy-harvesting generator powered by continuous rotation, using gravitational torque to enable a single point of attachment. The electro-mechanical behaviour of the generator is presented, alongside experimental results from an implementation based on a conventional dc motor. The off-axis performance is also modelled. The design and experimental re...

The performance of direct methanol fuel cell (DMFC) is closely related to its operating conditions, and there exists a specific combination of operating conditions at which the DMFC output maximum power to the driven load. Working at maximum power point (MPP) can lower the methanol crossover and ancillary power consumption so as to improve the global efficiency of the system. The fuzzy controll...

In this paper, using artificial neural network ANN for tracking of maximum power point is discussed. Error back propagation method is used in order to train neural network. Neural network has advantages of fast and precisely tracking of maximum power point. In this method neural network is used to specify the reference voltage of maximum power point under different atmospheric conditions. By pr...

In this paper the state of the art of distributed maximum power point techniques for photovoltaic systems is discussed. Modern applications of photovoltaic systems in urban context and to sustainable mobility require the proper facing of drawbacks due to partial shading and different orientations of the cells the photovoltaic source is made of. The latest architectures proposed in literature ar...

The performance of solar photovoltaic (PV) array is affected in conditions like Array tilt (optimum = latitude), Array tracking (1-axis, 2axis), Array azimuth/orientation (optimum = 180o or South), Array temperature, Array “soiling” (dust/dirt, snow, foreign matter etc.), Array shading (trees, clouds, buildings, chimneys, dormers, utility and telephone poles etc.), Array configuration, Array ag...

This thesis proposes a new maximum power point tracking (MPPT) method for photovoltaic (PV) systems using Kalman filter. The Perturbation & Observation (P&O) method is widely used due to its easy implementation and simplicity. The P&O usually requires a dithering scheme to reduce noise effects, but the dithering scheme slows the tracking response time. Tracking speed is the most important facto...

In this paper utilization of a boost converter for control of photovoltaic power using Maximum Power Point Tracking (MPPT) control mechanism is presented. First the photovoltaic module is analyzed using SIMULINK software. For the main aim of this work the buck converter is to be used along with a Maximum Power Point Tracking control mechanism. The MPPT is responsible for extracting the maximum ...

This paper presents a new methodology for controlling wind farms in a decentralized framework, where the wind turbines exchange information with their neighbours, and update their own control parameters in order to optimize the total power produced by the wind farm in a time-efficient manner, taking into account effects of wake interaction. The method can be characterized as being model-free si...

There has been a growing interest in using energy harvesting techniques for powering wireless sensor networks. The reason for utilizing this technology can be explained by the sensors limited amount of operation time which results from the finite capacity of batteries and the need for having a stable power supply in some applications. Energy can be harvested from the sun, wind, vibration, heat,...