Quasi-resonant DC-Link transformer-less structures for grid-connected PV systems

Fazlali, Behnam; Adib, Ehsan

doi:10.1016/j.ijepes.2018.06.011

Cited by 11 publications

(2 citation statements)

References 30 publications

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“…To analyze the switching pattern, switching frequency is drawn for 500 H Z. [24][25][26] To analyze the CMV, the switching pattern is categorized as follows. Switching pulse for S 8 is derived from Equation (2), which becomes…”

Section: Proposed Topologymentioning

confidence: 99%

CNN ‐based deep learning technique for improved H7 TLI with grid‐connected photovoltaic systems

Ramasamy¹,

Perumal²

2021

Int J Energy Res

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In this article, a three-phase transformerless inverter (TLI) for a solar photovoltaic (PV) system connected to a high-power grid are proposed, which has advantages of better performance and lower cost. The primary concern about the TLI is fluctuations in the common-mode voltage, which impacts switching frequency leakage current and grid interface system. An improved H7 common-mode voltage (CMV) clamped TLI with discontinuous pulse width modulation (DPWM) is designed using a conventional neural network (CNN)based deep learning approach. In this, a completely minimized leakage current is obtained to avoid CMV transients. The proposed PV-connected improved H7-TLI provides low-loss DC-side decoupling, which further reduces leakage current and isolation of the PV system during off-grid. In addition, the effects of several factors on CNN deep learning performance are explored, including training data size, image resolution, and network configuration. The proposed technique has the potential to be used in a test instrument for intelligent signal analysis or used in an artificial intelligence system. Switching loss is analyzed using proposed and existing H7 inverters under different load conditions. To verify the theoretical explanation, existing H7 inverters is analyzed by MATLAB/Simulink, and the outcomes are tested experimentally. The total harmonic distortion (THD) analysis of proposed and existing topology is analyzed and compared. The THD values of the existing and proposed topology are 3.74% and 3.23%, respectively.

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Section: Proposed Topologymentioning

confidence: 99%

CNN ‐based deep learning technique for improved H7 TLI with grid‐connected photovoltaic systems

Ramasamy¹,

Perumal²

2021

Int J Energy Res

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“…To increase the stability and reliability of the network, the frequency control of the network and the control of the active and reactive generation capacities have been published and addressed in this standard. So the main problems and concerns in a transformer-less PV inverter can be summarized in the efficiency, [23][24][25][26] cost, [27][28][29][30] and reliability [31][32][33][34] dimensions.…”

Section: Introductionmentioning

confidence: 99%

An FPGA‐based switching photovoltaic‐connected inverter topology for leakage current suppression in grid‐connected utilizations

Ghaderi

2020

Circuit Theory & Apps

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This study presents a symmetrical photovoltaic (PV)-connected inverter topology for eliminating the common-state leakage current in grid-connected inverters. A new inverter topology is introduced that minimizes the leakage current, increases efficiency, and is economically viable because it consists of six power switches and two power diodes that, compared with similar ones, consist of the same element numbers. In this inverter, power losses are lower than popular topologies such as H5, H6, and HERIC, and the voltage stresses of the switches are reduced. These features are due to the unique composition of the inverter branches and the location of the switches and diodes and the formation of a suitable freewheeling path for the current. The freewheeling path separates the alternating current (AC) side from the direct current side in the converter and cuts off the PV array leakage current to the AC grid. This will improve network reliability indices and maintain conservation standards. Finally, the content of this method is validated by comparing the proposed inverter with the existing conventional topologies. A prototype has been implemented for the performance analysis of the proposed inverter and results presented.

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Improved three phase H-7 transformerless inverter with DPWM to reduce leakage current using CNN based deep learning technique

Suganthi¹,

Pandi²

2022

Artif Intell Rev

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Quasi-resonant DC-Link transformer-less structures for grid-connected PV systems

Cited by 11 publications

References 30 publications

CNN ‐based deep learning technique for improved H7 TLI with grid‐connected photovoltaic systems

CNN ‐based deep learning technique for improved H7 TLI with grid‐connected photovoltaic systems

An FPGA‐based switching photovoltaic‐connected inverter topology for leakage current suppression in grid‐connected utilizations

Improved three phase H-7 transformerless inverter with DPWM to reduce leakage current using CNN based deep learning technique

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