A new maximum power point method based on a sliding mode approach for solar energy harvesting

2017 ◽  
Vol 185 ◽  
pp. 1185-1198 ◽  
Author(s):  
Maissa Farhat ◽  
Oscar Barambones ◽  
Lassaad Sbita
Keyword(s):  
Energy Harvesting ◽  
Solar Energy ◽  
Sliding Mode ◽  
Point Method ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Solar Energy Harvesting ◽  
Power Point

A Highly Efficient and Adaptable Solar-Energy Harvesting Circuit for Batteryless IoT Devices

2018 ◽  
Author(s):  
Ching-Cheng Yang ◽  
Paul C.-P. Chao ◽  
Rajeev Kumar Pandey
Keyword(s):  
Energy Harvesting ◽  
Solar Energy ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Transfer Efficiency ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Solar Energy Harvesting ◽  
Power Point

In this paper a new on-chip 2nd generation solar energy harvesting DC-DC converter has been proposed for a battery-less Internet of Things (IoTs) Devices. The propose circuit is design to maximize the transfer efficiency and stability as well as enough high power supply to the back-end loads. Altogether the proposed circuit consists of a cross-coupled charge pump, a maximum power point tracking (MPPT) circuit, a timing control circuit and regulator. The range of input voltage is from 0.5V to 3V. Required boosted output voltage is in the range of 1V to 3.3V. The maximum transfer efficiency is more than 60% and the maximum throughout power is 200μW. A gated clock frequency modulation circuit has been designed and employed in the maximum power point tracking (MPPT) unit to lock the input resistance of the charge pump. In addition, to provide a stable voltage to the load a low dropout (LDO) regulator circuit is used. The experimental results show that the maximum power conversion efficiency (PCE) is 78% at 52μW input power condition.

scholarly journals Fuzzy Logic Approach for Maximum Power Point Tracking Implemented in a Real Time Photovoltaic System

2021 ◽  
Vol 11 (13) ◽  
pp. 5927
Author(s):  
Cristian Napole ◽  
Mohamed Derbeli ◽  
Oscar Barambones
Keyword(s):  
Fuzzy Logic ◽  
Solar Energy ◽  
Sliding Mode ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Pv Panel ◽  
Power Point Tracking ◽  
Power Point

Photovoltaic (PV) panels are devices capable of converting solar energy to electrical without emissions generation, and can last for several years as there are no moving parts involved. The best performance can be achieved through maximum power point tracking (MPPT), which is challenging because it requires a sophisticated design, since the solar energy fluctuates throughout the day. The PV used in this research provided a low output voltage and, therefore, a boost-converter with a non-linear control law was implemented to reach a suitable end-used voltage. The main contribution of this research is a novel MPPT method based on a voltage reference estimator (VRE) combined with a fuzzy logic controller (FLC) in order to obtain the maximum power from the PV panel. This structure was implemented in a dSpace 1104 board for a commercial PV panel, PEIMAR SG340P. The scheme was compared with a conventional perturbation and observation (P&O) and with a sliding mode controller (SMC), where the outcomes demonstrated the superiority of the proposed advanced method.

Maximum Power Point Tracking (MPPT) for a Solar Photovoltaic System: A Review

2015 ◽  
Vol 787 ◽  
pp. 227-232 ◽  
Author(s):  
L.A. Arun Shravan ◽  
D. Ebenezer
Keyword(s):  
Solar Energy ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Nonlinear Behaviour ◽  
Pv System ◽  
Maximum Power Point ◽  
Pv Systems ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

In recent years there has been a growing attention towards use of solar energy. Advantages of photovoltaic (PV) systems employed for harnessing solar energy are reduction of greenhouse gas emission, low maintenance costs, fewer limitations with regard to site of installation and absence of mechanical noise arising from moving parts. However, PV systems suffer from relatively low conversion efficiency. Therefore, maximum power point tracking (MPPT) for the solar array is essential in a PV system. The nonlinear behaviour of PV systems as well as variations of the maximum power point with solar irradiance level and temperature complicates the tracking of the maximum power point. This paper reviews various MPPT methods based on three categories: offline, online and hybrid methods. Design of a PV system in a encoding environment has also been reviewed here. Furthermore, different MPPT methods are discussed in terms of the dynamic response of the PV system to variations in temperature and irradiance, attainable efficiency, and implementation considerations.

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