A systematic design methodology for DC-link voltage control of single phase grid-tied PV systems

Merai, Meriem; Naouar, Mohamed Wissem; Slama‐Belkhodja, Ilhem

doi:10.1016/j.matcom.2020.05.007

Cited by 14 publications

(6 citation statements)

References 20 publications

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“…signi cant factor to improve the e ciency, quality, and stability of grid-connected PV systems (Merai et al, 2021). To regulate the DC link voltage, rst, the measured DC link voltage that depends on and D is compared to the reference DC link voltage (800 V), and the error is given to the PI controller that produces the reference d-axis current for the inverter current controller.…”

Section: Resultsmentioning

confidence: 99%

Deep Learning LSTM-based MPPT Control of 100kW Dual Stage Grid Tied Solar PV System

Younas

Kulaksız

2023

Preprint

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The simultaneous rise in energy demand brought on by urbanization, industrialization, population growth, and the significant increase in greenhouse gas emissions from conventional energy sources pushes the energy market to divert towards sustainable energy. Among renewables, Solar photovoltaic (PV) technology has been identified as an abundant, clean, environmentally friendly, noiseless, and economically sustainable energy source to fulfill the future energy demand. However, the output power of a solar PV panel is unpredictable due to temperature (T) and irradiance (G) fluctuations, as well as the relatively low efficiency of solar cells (15 to 25%) limits its applications in grid-connected mode. To work for the PV panel at its maximum power, this paper presents the deep learning associated with Long Short Term Memory (LSTM) network-based Maximum Power Point Tracking (MPPT) controller for a 100 kW grid-connected PV array. The performance of the proposed LSTM-based MPPT is contrasted with that of the Feed Forward Neural Network (FFNN) and the traditional Perturb and Optimization (P&O) MPPT controller using the Simulink MATLAB environment. Over one million datasets, the LSTM and FFNN are trained for two inputs (T, G) and a single output (Vmp). The Mean Square Error (MSE), Root Mean Square Error (RMSE), Mean Average Error (MAE), and Prediction error between the actual power and the extracted power by the respective MPPT are used as performance indices in the comparison of LSTM and FFNN. The trained models are exported to Simulink, where an MPPT comparison is accomplished among the LSTM, FFNN, and P&O controllers. LSTM-based MPPT controller extracted more power in kilo watt (99.14) from the PV panel than FFNN (96.75) and P&O (95.11) controllers. The LSTM comprised of least RMSE value (0.20) than FFNN (2.62), and P&O (4.22) respectively. Hence, the proposed LSTM MPPT controller proceeded to establish the control of active power between the PV array and grid, Direct Current (DC) bus voltage control, and grid-tied inverter control

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Section: Resultsmentioning

confidence: 99%

Deep Learning LSTM-based MPPT Control of 100kW Dual Stage Grid Tied Solar PV System

Younas

Kulaksız

2023

Preprint

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“…Typical PFCRs employ dual-loop controller structure, shown in Fig. 2 [17], with outer (voltage) loop regulating the DC link voltage to the set point value * via using a PI controller (2) may be assumed for frequencies up to ωG [18]. PFCR grid-side voltage and current are given by…”

Section: Power Factor Correction Rectifier Essentialsmentioning

confidence: 99%

Analytical Expressions for Voltage Controller Coefficients to Attain Desired Values of Total Harmonic Distortion and DC Link Voltage Undershoot in Power Factor Correction Rectifiers

Kuperman¹

2021

Preprint

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The paper reveals analytical expressions linking the coefficients of PI controller, typically employed as voltage loop compensator of power factor correction rectifiers (PFCR), with two major performance merits (namely, total harmonic distortion (THD) of grid-side current and DC-link voltage deviation upon sudden load increase) and DC link capacitance to rated power ratio. The proposed methodology allows to concretize the commonly used "8–10Hz crossover frequency, 45 degree–70 degree phase margin" rule-of-thumb, typically utilized in application notes of commercial PFC controllers. Relations between voltage loop gain crossover frequency and phase margin as well as settling time of DC-link voltage response to a step load increase to the above mentioned performance merits are also derived in the paper. Provided design guidelines allow to precisely achieve desired values of the two mentioned performance merits and indicate the feasible range of possible DC link capacitance values. Proposed quantitative design guidelines are well-supported by experiments.

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“…For this reason, the aim of the present study is to develop a new backstepping controller based on DC link voltage control as in [24], to meet the control objectives of ensuring maximum power extraction and controlling the active and reactive power flow between the PV system and the grid, as well as improving power quality by injecting sinusoidal current with low harmonic distortion, even in the presence of parameter variation and external disturbances. This method can eliminate the limitations of the existing controllers by optimizing the PV system dynamic responses, controller robustness, and stability performance.…”

Section: Introductionmentioning

confidence: 99%

Power quality optimization using a novel backstepping control of a three-phase grid-connected photovoltaic systems

Naddami¹,

Ababssi²

2023

IJECE

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<span lang="EN-US">A novel nonlinear backstepping controller based on direct current (DC) link voltage control is proposed in three-phase grid-connected solar photovoltaic (PV) systems to control the active and reactive power flow between the PV system and the grid with improved power quality in terms of pure sinusoidal current injection with lower total harmonic distortion (THD), as well as to ensure unity power factor, or to compensate for reactive power required by the load, i.e., the electrical grid. The output power of the PV array is supplied to the grid through a boost converter with maximum power point tracking (MPPT) control and an inverter. Simulation results of the proposed controller show good robustness under nominal conditions, parameter variations, and load disturbances, which presents the main advantage of this controller as compared to an existing controller. The performance of this work was evaluated using a MATLAB/Simulink environment.</span>

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A systematic design methodology for DC-link voltage control of single phase grid-tied PV systems

Cited by 14 publications

References 20 publications

Deep Learning LSTM-based MPPT Control of 100kW Dual Stage Grid Tied Solar PV System

Deep Learning LSTM-based MPPT Control of 100kW Dual Stage Grid Tied Solar PV System

Analytical Expressions for Voltage Controller Coefficients to Attain Desired Values of Total Harmonic Distortion and DC Link Voltage Undershoot in Power Factor Correction Rectifiers

Power quality optimization using a novel backstepping control of a three-phase grid-connected photovoltaic systems

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