Radial basis function neural network based maximum power point tracking for photovoltaic brushless DC motor connected water pumping system

Chandra, Surabhi; Gaur, Prerna; Pathak, Diwaker

doi:10.1016/j.compeleceng.2020.106730

Cited by 37 publications

(18 citation statements)

References 21 publications

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“…Therefore, the top 4 displacement, CAL1, DT and bottom hole pressure are the four parameters as the main control factors. The following uses these 4 main control factors as input and gas production as output to build a radial basis function network model [8] .…”

Section: Fig2 Results Of Correlation Analysis Of All Variablesmentioning

confidence: 99%

Research on prediction of coalbed methane production based on Radial Basis Function Network

Huang¹,

Huang

Cheng³

et al. 2020

E3S Web Conf.

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My country’s coal seam permeability is generally low, and it is difficult to carry out large-scale development and utilization. For different coal seam blocks, the use of abundant field data to predict gas production can not only provide effective guidance for on-site construction, but also significantly save development costs. This paper presents a prediction model of coalbed methane production based on radial basis function network. According to the field data of X area, the correlation analysis of the factors affecting the gas production is carried out, and the main control factors with significant correlation are selected. Then, taking these main control factors as input and gas production as output, a series of radial basis function networks with different precisions were constructed through trial calculation of different expansion coefficients. Finally, with the goal of maximizing precision, a highly accurate fitting was obtained. The optimal network with good prediction effect.

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Section: Fig2 Results Of Correlation Analysis Of All Variablesmentioning

confidence: 99%

Research on prediction of coalbed methane production based on Radial Basis Function Network

Huang¹,

Huang

Cheng³

et al. 2020

E3S Web Conf.

View full text Add to dashboard Cite

show abstract

“…The P&O MPPT control is used for governing the maximum power voltage in each configuration. 19,[32][33][34] The P&O MPPT technique is a simple and most commonly used method to attain maximum power position of the PV system. [35][36][37] The solar PV voltage ripple (V pvr ), current ripple (I pvr ), MPPT efficiency (η pv ), maximum power point (MPP) settling time (t sMPP ), and voltage stress (V sw ) across the semiconductor switch are investigated.…”

Section: Simulation Analysis Of the Proposed Hgs Connected To Pv Arraymentioning

confidence: 99%

“…The exponential PV array characteristics is shown in Figure 11. A detailed modeling of solar PV modeling and design is discussed by Chandra et al 19 The operation of the proposed system is tested with P&O MPPT implementation. The duty ratio obtained from P&O algorithm implementation is applied to SEPIC (figs.…”

Section: Simulation Analysis Of the Proposed Hgs Connected To Pv Arraymentioning

confidence: 99%

“…18 The SEPIC configuration has been widely used in solar PV applications as it delivers non-inverting voltage and can optimize a PV array's operating point over a wide variety of operating points, as well as provide substantial duty cycle adaptability at any voltage level. 19 Hence, meticulous research is done on SEPIC to improve the voltage gain, lowering the voltage stress and losses. [20][21][22][23][24][25][26][27][28][29][30] Despite this, it is identified that the voltage gain of these non-coupled inductor converters is minimal and can be improved by further improvements in the SEPIC topology.…”

Section: Introductionmentioning

confidence: 99%

“…The operation characteristics of the DC–DC converter is enhanced with VMC and thus offers high static gain 18 . The SEPIC configuration has been widely used in solar PV applications as it delivers non‐inverting voltage and can optimize a PV array's operating point over a wide variety of operating points, as well as provide substantial duty cycle adaptability at any voltage level 19 . Hence, meticulous research is done on SEPIC to improve the voltage gain, lowering the voltage stress and losses 20–30 .…”

Section: Introductionmentioning

confidence: 99%

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Gaur

2022

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The solar photovoltaic (PV) sources have low voltage output and hence cannot be used directly in micro‐grid applications. Therefore, to boost the low voltage output, a novel high gain single‐ended primary inductor converter (SEPIC) is proposed in this manuscript. The proposed high gain SEPIC (HGS) has an advantage of obtaining high voltage gain at a low duty ratio and continuous input current, which makes it viable for PV applications. The proposed converter offers simple control, and the high gain is obtained without the use of any transformer or coupled inductor so the semiconductor switch will not experience a voltage overshoot during the turn‐off operation. Hence, the conduction losses of the converter switch are reduced, and the performance of the converter is enhanced. Additionally, this manuscript also investigates the effectiveness of the proposed HGS in integration with the PV array. An extensive performance evaluation of the proposed HGS is investigated and compared with different SEPIC topologies in irradiance change conditions. Experimental implementation of the proposed HGS confirms the theoretical analysis and verifies the performance. Also, the real time (RT) analysis of the proposed HGS with PV array is conducted to show the validation of high gain operation for the PV application.

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ANN Model-Based Performance Simulation of a Solar PV Operated Helical Rotor Water Pump

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2021

Smart Structures in Energy Infrastructure

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Radial basis function neural network based maximum power point tracking for photovoltaic brushless DC motor connected water pumping system

Cited by 37 publications

References 21 publications

Research on prediction of coalbed methane production based on Radial Basis Function Network

Research on prediction of coalbed methane production based on Radial Basis Function Network

An efficient switched inductor–capacitor‐based novel non‐isolated high gain SEPIC for solar energy applications

ANN Model-Based Performance Simulation of a Solar PV Operated Helical Rotor Water Pump

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