Comparative study of maximum power point tracking techniques for hybrid renewable energy system

Khan, Mohammad Junaid; Mathew, Lini

doi:10.1080/00207217.2019.1584917

Cited by 20 publications

(6 citation statements)

References 42 publications

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“…In addition, the proposed PV interfacing system is modular as extra units can be integrated by adding windings with proper turns to the core of the HFT to increase their maximum extracted power. Based on PV voltage and current, the P&O adjusts the duty cycle D x of unit 'x' to perform MPPT, as shown in Table 1 [30,31].…”

Section: The Proposed Hfmp Dc-dc Convertermentioning

confidence: 99%

Analysis and Design of a Multi-Port DC-DC Converter for Interfacing PV Systems

Alajmi¹,

Marei

Abdelsalam

et al. 2021

Energies

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A high-frequency multi-port (HFMP) direct current (DC) to DC converter is presented. The proposed HFMP is utilized to interface a photovoltaic (PV) system. The presented HFMP is compact and can perform maximum power point tracking. It consists of a high-frequency transformer with many identical input windings and one output winding. Each input winding is connected to a PV module through an H-bridge inverter, and the maximum PV power is tracked using the perturb and observe (P&O) technique. The output winding is connected to a DC bus through a rectifier. The detailed analysis and operation of the proposed HFMP DC-DC converter are presented. Extensive numerical simulations are conducted, using power system computer aided design (PSCAD)/electromagnetic transients including DC (EMTDC) software, to evaluate the operation and dynamic behavior of the proposed PV interfacing scheme. In addition, an experimental setup is built to verify the performance of the HFMP DC-DC converter.

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Section: The Proposed Hfmp Dc-dc Convertermentioning

confidence: 99%

Analysis and Design of a Multi-Port DC-DC Converter for Interfacing PV Systems

Alajmi¹,

Marei

Abdelsalam

et al. 2021

Energies

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“…An extensive amount of research has been conducted, and many MPPT methods have been proposed so far [16][17][18][19][20]. Among the numerous MPPT techniques described in the literature, P&O [21][22][23][24][25][26] is the most popular one, and it is widely installed in commercial PVS using low-cost microprocessors [27].…”

Section: Introductionmentioning

confidence: 99%

System-Independent Irradiance Sensorless ANN-Based MPPT for Photovoltaic Systems in Electric Vehicles

2021

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The integration of photovoltaic systems (PVS) in electric vehicles (EV) increases the vehicle’s autonomy by providing an additional energy source other than the battery. However, current solar cell technology generates around 200 W for a 1.4 m2 panel (to be installed on the roof of the EV) at stable irradiance conditions. This limitation in production and the sudden changes in irradiance produced by shadows of clouds, buildings, and other structures make developing a fast and efficient maximum power point tracking (MPPT) technique in this area necessary. This article proposes an artificial neural network (ANN)-based MPPT, called DS-ANN, that uses manufacturer datasheet parameters as inputs to the network to address this problem. The Bayesian backpropagation-regularization performs the training, ensuring that the MPPT technique operates satisfactorily on different PVS without retraining. We simulated the response of 20 commercial modules against actual irradiance data to validate the proposed method. The results show that our method achieves an average tracking efficiency of 99.66%, improving by 1.21% over an enhanced P&O method.

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“…In case of a fixed voltage tracking, the observed PV voltage is compared with a reference level and the duty cycle is continuously varied to make the PV module to hover around the maximum power point, that is already predetermined. [5]. The fixed voltage tracking method has a drawback of providing inaccurate values due to the thermal variations.…”

Section: Introductionmentioning

confidence: 99%

AI based MPPT Controller for Solar PV System

2019

IJITEE

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This article discusses Artificial intelligence based Maximum Power Point Tracking (MPPT) for solar Photo-voltaics based system. MPPT is used to improve the efficiency as well as to raise the output through the photovoltaic system through continuous tracking of MPP. The work demands the use of fuzzy logic control technology; hence the PV-cell is interfaced with a DC step-up converter connected with a dc load. Boost converters convert the output of low voltage DC to output of high voltage DC. Following taken through the solar panel are thermal factor like temperature and isolation. The validation of the proposed controller is also discussed.

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Comparative study of maximum power point tracking techniques for hybrid renewable energy system

Cited by 20 publications

References 42 publications

Analysis and Design of a Multi-Port DC-DC Converter for Interfacing PV Systems

Analysis and Design of a Multi-Port DC-DC Converter for Interfacing PV Systems

System-Independent Irradiance Sensorless ANN-Based MPPT for Photovoltaic Systems in Electric Vehicles

AI based MPPT Controller for Solar PV System

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