A novel approach on MPPT algorithm for solar panel using buck boost converter

Vivek, P.; Ayshwarya, R.; Amali, S. Jessiba; Sree, Anjana

doi:10.1109/iceets.2016.7583787

Cited by 16 publications

(2 citation statements)

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“…In the literature, many algorithms have been proposed, most often as upgrades of basic P&O and IC algorithms [42,43,[45][46][47]. These algorithms offer improved efficiency via faster tracking speeds and variable step sizes.…”

Section: Solar Cell Characteristics and Maximum Power Point Trackingmentioning

confidence: 99%

Exploiting Solar Energy during an Aerial Mapping Mission on a Lightweight UAV

Hrovatin¹,

Žemva²

2021

Electronics

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In this study, we present options for extending the endurance of a lightweight unmanned aerial vehicle (UAV), along with their advantages and disadvantages. We present a developed solution based on the use of gallium–arsenide (GaAs) solar modules installed on a UAV and connected to a custom-made maximum power point tracker (MPPT) with an integrated perturb and observe (P&O) algorithm. The mathematical behavior required to calculate the electrical energy production from solar energy on the UAV from known UAV angles of rotation, the position of the sun in the sky, solar irradiance measurements, the solar module area and the solar modules efficiency is presented. A comparison of the calculated and actual measured electrical energy production results during an aerial mapping mission is presented. We perform a number of aerial mapping mission flights and the experimental results confirm an energy efficiency value of more than 96.27% for the MPPT and extended flight endurance by up to 21.25%. In addition, onboard measurements and other data captured during flights confirm the proposed electrical energy production calculation.

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Section: Solar Cell Characteristics and Maximum Power Point Trackingmentioning

confidence: 99%

Exploiting Solar Energy during an Aerial Mapping Mission on a Lightweight UAV

Hrovatin¹,

Žemva²

2021

Electronics

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“…(Mahalakshmi, Archana & Komathi 2016) has been a proposed algorithm which is simulated in MATLAB TM / SIMULINK TM environment, the simulation of active and reactive power which is control and analyzed using a Proportional Integral Derivative (PID) controller for maintain the stability of the system. 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).…”

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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