Implementation in arm microcontroller to maximize the power output of solar panel using Hill Climbing Algorithm

Ravindran, Vineetha; Sutaria, Jil

doi:10.1109/iceeot.2016.7754880

Cited by 11 publications

(4 citation statements)

References 5 publications

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“…This study proposes low-cost, easier coding to make handling controls and support configurable hardware solutions. The 32-bit ARM Cortex M4 (STM32F407VGT6) was utilised with the Waijung block set in MATLAB [31].…”

Section: Stm 32 Arm Cortex M4 Microcontrollermentioning

confidence: 99%

An Experimental Study of Drift Caused by Partial Shading Using a Modified DC-(P&O) Technique for a Stand-Alone PV System

Singhal

Beniwal

et al. 2022

Energies

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There is tremendous potential in solar energy to meet future electricity demands. Partial shading (PS) and drift are two major problems that must be addressed simultaneously to achieve the maximum power point (MPP) of a stand-alone PV system, which are discussed in this paper. Both of these factors contribute to the voltage drop due to heavy steady-state oscillation. The partial shading and drift problem are associated with severe rapid changes in the insolation. A modified drift-control perturbation and observation DC-(P&O) approach was investigated using a low-cost programmable hardware solution, i.e., the ARM Cortex M4 32-bit Microcontroller (MC) (STM32F407VGT6), with efficient embedded programming and Waijung block sets for real-time solutions. The experimental setup was accomplished on a 40-watt solar panel. It was found that the proposed method had a significant impact on drift control during abrupt changes in current and voltage caused by shading effects, with the controller conversion efficiency of 80.39% and 94.48% with percentage absolute errors of 7.3 and 7.2 for cases with and without PS and drift, respectively.

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Section: Stm 32 Arm Cortex M4 Microcontrollermentioning

confidence: 99%

An Experimental Study of Drift Caused by Partial Shading Using a Modified DC-(P&O) Technique for a Stand-Alone PV System

Singhal

Beniwal

et al. 2022

Energies

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“…Ravindran implemented the microcontroller arm to maximize solar panel power output using the Hill-Climbing Algorithm. The microcontroller controlled the solar panel current with the help of a 12bit ADC sampling frequency of 200 kHz and adjusted the duty cycle of the PWM signal given to the converter gate drive circuit [4]. Xu and Kang designed the PWM speed DC motor drive.…”

Section: Introductionmentioning

confidence: 99%

Control System for Adjusting the Brightness Level with PWM Technique Using Visual Net Microcontroller-Based

Setiawan¹,

Ishak²,

Sembiring³

2020

jrc

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A lamp is an artificial source of light produced by channeling electric current through the filament, which then heats up and produces light. Eye health experts believe that the ideal brightness of a lamp depends on ambient light. The rule must ensure that the brightness of the lights must be equivalent to the light around because, in that way, the light from the lights and surroundings will blend, and the eyes do not need to work harder. To overcome the problem, a control system was created by implementing the pulse width modulation (PWM) technique to control the brightness of the lights manually using a visual net application. Utilization of a microcontroller as a control center in controlling the brightness level of the lamp using the type of microcontroller AVR16, by displaying the PWM value on a form, designed on the visual net. Thus, it needed to set the level of light brightness to be ideal in the desired conditions.

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“…PO based MPPT is used with micro-controller to control the duty-cycle of a dc-dc power converter for achieving the MP from PV module (Vivek, Ayshwarya, Amali & Sree, 2016). Implementation of hardware using ARM Cortex-M3 32 bit microcontroller has been developed for 10W PV array (Ravindran & Sutaria, 2016). The proposed MPPT technique had provided fast and accurate tracking for every atmospheric condition and results validated by simulation in MATLAB TM / SIMULINK TM (Shahana & Linus, 2016).…”

Section: Introductionmentioning

confidence: 99%

A Novel Artificial Intelligence based Hybrid Maximum Power Point Tracking Technique for Solar Photovoltaic System

Khan¹

2020

Preprint

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Backgrounds: Solar photo-voltaic (PV) arrays have non-linear characteristics with distinctive maximum power point (MPP) which relies on ecological conditions such as solar radiation and ambient temperature. In order to obtain continuous maximum power (MP) from PV arrays under varying ecological conditions, maximum power point tracking (MPPT) control methods are employed. MPPT is utilized to extract MP from the solar PV array, high-performance soft computing techniques can be used as an MPPT technique. Results: In order to show the feasibility and performance of the proposed Artificial Intelligence based Perturbe and Observe (AIAPO) MPPT controller, a simulation analysis has been carried out using the PV system. Combined results with different MPPT systems for power, voltage and current waveforms are the output values increase to 272.4W, 157V and 1.74A respectively. Using proposed AIAPO MPPT provides more accurate and stable result as compared to Perturbe and Observe (PO), Fuzzy Logic (FL) and Artificial Neural Network (ANN) based MPPT Technique. As per the experimentation performed by various MPPT techniques are carried out for PV system which are clearly indicating that the comparative analysis of power, voltage and current performance of PV system (i.e. have been recorded 272.4W, 157V and 1.74A) using proposed MPPT method which is better than the PO based MPPT (i.e. 169.1W, 127V, 1.43A), FL based MPPT technique (i.e. 256.9W, 152V, 1.69A) and ANN based MPPT technique (i.e. 265W, 154V, 1.71A) correspondingly. Conclusions: The aim of this paper is to track MPP from the solar PV array by the proposed hybrid controller for irradiation changes and comparing results with PO, FL and ANN based MPPT controllers. Different MPPT techniques have been used to compute MPP and improved efficiency of the PV panel. AIAPO, ANN, FL and PO MPPT methods have been chosen to obtain this objective. Simulation results showing that the system in which proposed control method has been used gives better performance and reduce fluctuations of the MPP as compared to PO, FL and ANN based MPPT technique at rapid changes of irradiation. In order to fabricate a reliable and real time hybrid system, there is a massive scope of research to develop multi-input renewable energy systems.

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Implementation in arm microcontroller to maximize the power output of solar panel using Hill Climbing Algorithm

Cited by 11 publications

References 5 publications

An Experimental Study of Drift Caused by Partial Shading Using a Modified DC-(P&O) Technique for a Stand-Alone PV System

An Experimental Study of Drift Caused by Partial Shading Using a Modified DC-(P&O) Technique for a Stand-Alone PV System

Control System for Adjusting the Brightness Level with PWM Technique Using Visual Net Microcontroller-Based

A Novel Artificial Intelligence based Hybrid Maximum Power Point Tracking Technique for Solar Photovoltaic System

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