History of Maximum Power Point Tracking

Abdel‐Salam, M.; EL-Mohandes, Mohamed-Tharwat; Goda, Mohamed

doi:10.1007/978-3-030-05578-3_1

Cited by 8 publications

(3 citation statements)

References 92 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Later, in 1985, the full SMC descriptions for use with all fundamental 2nd-order DC-DC converter topologies were given. Additionally, they illustrated the idea of linking duty ratio control techniques of the pulse width modulation PWM technology to analogous SMC control methods for maintaining constant frequency [28].…”

Section: Sliding Mode Control (Smc)mentioning

confidence: 99%

MPPT Control Method of Photovoltaic System under Complex Lighting Conditions

2023

IRJMETS

View full text Add to dashboard Cite

Due to the depletion of fossil fuels and the effects of global warming, the globe is shifting toward renewable energy sources. The sun is the most potent source of energy among these renewable ones. A popular renewable energy source is solar energy. Due to the non-linear behavior of the solar photovoltaic PV system under actual environmental settings, the output power changes for dynamic environmental conditions, reducing the systems efficiency. A control strategy is necessary for maximum power extraction under all circumstances in order to obtain the most power. The maximum power has been extracted using a variety of maximum power point tracking MPPT methods. Sliding mode control SMC, one of these MPPT strategies, is a popular method for nonlinear systems to manage uncertainty. This thesis focuses on comparing and analyzing SMC methods for MPPT. Moreover, we sought to deal with the behavior of a PV system using a non-linear higher-order sliding mode control HOSMC approach known as the super-twisting algorithm STA.

show abstract

Section: Sliding Mode Control (Smc)mentioning

confidence: 99%

MPPT Control Method of Photovoltaic System under Complex Lighting Conditions

2023

IRJMETS

View full text Add to dashboard Cite

show abstract

“…However, the mechanical tracking system has been abandoned because it requires much energy to control the solar panels to follow the sun's movement direction. At the 2 same time, the electric tracking system is being developed actively to produce optimal output from the photovoltaic system (Abdel-Salam et al, 2019). The electrical tracking system tracks the maximum power of the solar modules electronically.…”

Section: Introductionmentioning

confidence: 99%

Improvement of Rooftop Solar Panels Efficiency using Maximum Power Point Tracking Based on an Adaptive Neural Network Fuzzy Inference System

Nrartha¹,

Ginarsa²,

Muljono³

et al. 2023

American Journal of Engineering and Applied Sciences

View full text Add to dashboard Cite

Rooftop solar panels are a strategy for achieving Indonesia's renewable energy goals, but their non-linear characteristics make them difficult to control, especially in the face of extreme weather changes. An effective controller is needed to optimize the power output of solar panels. This study proposes a Maximum Power Point Tracking (MPPT) controller based on an Adaptive Neural network Fuzzy Inference System (ANFIS) to address this control problem. The capacity of the rooftop solar panels is 3,430-Watt peak (Wp) and they are connected to a 220-Volt (V) grid system. The system is designed, simulated, and analyzed using the Simulink model. The proposed ANFIS MPPT control for rooftop solar panels is compared to Perturb and Observe (P&O) MPPT and no MPPT systems. The simulation results show that in rapid changes in irradiation and extreme temperature, the efficiency of MPPT based on ANFIS is better than P&O MPPT and no MPPT by 0.4523 and 0.1115%, respectively.

show abstract

“…The electricity current produced by the PV system varies depending on the daylight illumination and environmental temperature [60], and this is the main challenge to implement MPPT on a PV system [61]. There are two types of MPPT tracker being widely used nowadays, based on mechanical design and electrical design, respectively [62]. The mechanical MPPT tracker is also known as a solar tracker, which increases energy production by up to 40% [63].…”

Section: Introductionmentioning

confidence: 99%

Design of Control System for Multistage Distillation Seawater Desalination Device Driven by Photovoltaic-Thermal

Yan

Qiu

Yuan-gan

et al. 2023

JMSE

View full text Add to dashboard Cite

This research proposes a seawater desalination system driven by photovoltaic and solar thermal energy for remote regions such as islands and seaside villages where fresh water is not accessible. The performance of this system is demonstrated through experiments, and the main concerns are the output of the photovoltaic power generation system, power quantity, water yield, and the loads under different solar irradiance and temperature. In this system, a PLC is used as the controller to adjust the water pump by the collection and processing of sensor data. A load switching time system is designed to select different operating schemes under different environments in order to save energy. The control method of this system is developed to ensure that the photovoltaic power generation system does not undervoltage while maintaining the normal operation of the desalination system. An improved Perturbation and Observation (P&O) algorithm is also proposed as a new Maximum Point Power Tracking (MPPT) method to solve the problem of misjudgment and oscillation after tracking the maximum power point (MPP) in the traditional P&O algorithm. The simulation test in the MATLAB/Simulink environment shows that when external irradiance changes, the improved P&O algorithm can track the MPP faster than the traditional P&O algorithm, and the amplitude of oscillation on the MPP is smaller. The hardware experiments show that this system can operate stably and flexibly, and it is capable of producing 5.18 kWh of electric energy and 335.81 kg of freshwater per day. The maximum yield of the unit can reach 565.75 kg per day and the maximum daily power generation is 8.12 kWh.

show abstract

History of Maximum Power Point Tracking

Cited by 8 publications

References 92 publications

MPPT Control Method of Photovoltaic System under Complex Lighting Conditions

MPPT Control Method of Photovoltaic System under Complex Lighting Conditions

Improvement of Rooftop Solar Panels Efficiency using Maximum Power Point Tracking Based on an Adaptive Neural Network Fuzzy Inference System

Design of Control System for Multistage Distillation Seawater Desalination Device Driven by Photovoltaic-Thermal

Contact Info

Product

Resources

About