WITHDRAWN: A brief overview of maximum power point tracking algorithm for solar PV system

Pavithra, C.; Singh, Pooja; Sundramurthy, Venkatesa Prabhu; Karthik, T.; Karthikeyan, P.; Abraham, John; Venkatesan, Karunakaran; Devaru, Susheela Devi B.; Manjunath, T. C.

doi:10.1016/j.matpr.2021.01.220

Cited by 8 publications

(5 citation statements)

References 8 publications

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“…All the MPPT techniques, as described in Table 7, are expensive It is important to note that the MPPT technologies, as described in Table 7, can be called the MPPT algorithm 106 . Furthermore, these can be categorised into three principal aspects: conventional structure, advanced soft computing approach, and hybrid strategies [107][108][109] . Therefore, several optimal control strategies can be developed to meticulously handle the PV system's dynamic behaviour to operate at MPP with significant efficiency.…”

Section: Maximum Power Point Trackingmentioning

confidence: 99%

A systematic review of grid-connected photovoltaic and photovoltaic/thermal systems: Benefits, challenges and mitigation

Hamid

Mbungu

Elnady

et al. 2022

Energy & Environment

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Solar energy is the powerhouse where all potential and classified renewable energies lug their sources. The energy transformation from the Sun to electricity requires an adequate control scheme to maximise the generated power and enhance the system efficiency. Besides, more than half of solar irradiation on conventional PV panels is lost. The PV/T modules have been introduced to convert the lost irradiation to heat. Thus, a systematic review of system components, development, and strategies for grid-connected solar Photovoltaics (PVs) plants is presented. Two solar PVs, traditional PV and thermal (PV/T), are evaluated. Each grid-tied PV component is considered a subsystem to analyse the potential improvement of grid-connected PVs. This is from solar resources to grid-tied PV inverter techniques. An intensive assessment of the system improvements is presented to evaluate PV plants’ benefits, challenges, and potential solutions. The improvement trends for the novel generation of grid-connected PV systems consist of applying innovative approaches. It is also found that intelligent strategies optimally ensure the overall efficiency of grid-tied PVs using real-time control and measurement under innovative applications and technologies. These methods effectively assist in enhancing grid-tied diverse solar power approaches. Therefore, this paper would offer a significant foundation for advanced research into the subject of grid-tied PV and PV/T and their innovation and/or technology development.

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Section: Maximum Power Point Trackingmentioning

confidence: 99%

A systematic review of grid-connected photovoltaic and photovoltaic/thermal systems: Benefits, challenges and mitigation

Hamid

Mbungu

Elnady

et al. 2022

Energy & Environment

View full text Add to dashboard Cite

show abstract

“…The basic equivalent-circuit model of a solar PV cell is depicted in Figure 2. The exclusive goal of modeling PV cell using a onediode represented here is to mimic the characteristics and performance of PV cells under irregular climate conditions (Pavithra et al, 2021).…”

Section: Mathematical Modeling Of Pv Cellmentioning

confidence: 99%

“…These MPPT techniques can be divided into three types: conventional, artificial-intelligence (AI), and hybrid-based techniques. Constant voltage control (CVC) (Kumar et al, 2014;Derbeli et al, 2021), Hill-Climbing (Jordehi, 2016;Amir et al, 2017;Pavithra et al, 2021), Perturb & Observe (P&O) (Esram and Chapman, 2007;Yilmaz et al, 2019;Mousa et al, 2021), Sliding Mode Control (SMC) based MPPT technique (Ahmed and Salam, 2016), Incremental Conductance (IC) (Li and Wang, 2009;Kumar et al, 2014;Mamarelis et al, 2014;Bendib et al, 2015), incremental resistance (IR) based MPPT (Chauhan et al, 2020), and fractional voltage/current (Elbaset et al, 2015) are conventional techniques having less complex behavior and are easy to implement. Among these, P&O and IC algorithms are more prevalent.…”

Section: Introductionmentioning

confidence: 99%

Comparative Analysis of MPPT Control Techniques to Enhance Solar Energy Utilization and Convergence Time Under Varying Meteorological Conditions and Loads

Singh¹,

Singh²,

Verma

et al. 2022

Front. Energy Res.

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The electrical energy generated from solar energy photovoltaic (PV) technology is intermittent, varying, and irregular. With PV technology’s limited energy conversion efficiency, it is imperative to extract the maximum of converted energy. The zero slopes of the power versus voltage curve are utilized to determine the maximum power point. Conventional algorithms provide lower convergence time along with low power oscillations. This paper proposes an adaptive perturb and observe (A-P&O) maximum power point tracking (MPPT) technique for the energy conversion system. The primary objectives of the proposed technique are to obtain a more robust, better tracking capability, improved efficiency, and fast response lesser oscillations under steady-state with a simple structure to implement. Maximum power point (MPP) tracking under varying meteorological conditions and load variations is still a challenge. The proposed P&O technique has been tested under realistic meteorological variations and load variations. The comparative evaluation of the proposed adaptive-step size A-P&O MPPT technique and other conventional techniques such as perturb and observe (P&O), incremental conductance (IC), modified P&O and fuzzy logic control (FLC) have also been performed. The performance of the proposed control technique is evaluated using a MATLAB/Simulink environment. The obtained results confirm that the proposed control technique is superior in performance as compared to the other four conventional techniques.

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“…There are many solar MPPT methods available, among which the P&O algorithm is conventionally available. The ANN-based MPPT method is developed which has many advantages like decreased oscillation and improved tracking efficiency [6] [7]. In this paper, the uniform irradiance is considered to be 1000 W/m2.…”

Section: Introductionmentioning

confidence: 99%

A Novel Comparative Analysis of Solar P&O, ANN-based MPPT Controller under Different Irradiance Condition

et al. 2024

EAI Endorsed Trans Energy Web

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The depletion of fossil fuels and rising energy demand have increased the use of renewable energy. Among all Solar PVs, system-based electricity production is increased due to multiple advantages. In this paper a Solar PV system with an Artificial Neural Network (ANN)-based Maximum Power Point Tracking (MPPT) controller is developed. ANN has multiple advantages like stability, improved dynamic response, and fast and precise output. The System is modelled with a DC-DC boost converter with Perturb and Observe (P&O)-based MPPT controller which is operated in MATLAB-based Simulink model. Both the controller output is analyzed and compared, among these two controllers ANN has very fast and more precise output under dynamic conditions.

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WITHDRAWN: A brief overview of maximum power point tracking algorithm for solar PV system

Cited by 8 publications

References 8 publications

A systematic review of grid-connected photovoltaic and photovoltaic/thermal systems: Benefits, challenges and mitigation

A systematic review of grid-connected photovoltaic and photovoltaic/thermal systems: Benefits, challenges and mitigation

Comparative Analysis of MPPT Control Techniques to Enhance Solar Energy Utilization and Convergence Time Under Varying Meteorological Conditions and Loads

A Novel Comparative Analysis of Solar P&O, ANN-based MPPT Controller under Different Irradiance Condition

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