Fuzzy Logic Control for Low-Voltage Ride-Through Single-Phase Grid-Connected PV Inverter

Radwan, Eyad; Nour, Mutasim; Awada, Emad; Baniyounes, Ali M.

doi:10.3390/en12244796

Cited by 15 publications

(10 citation statements)

References 18 publications

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“…Furthermore, the PV panel can be connected directly to the inverter to reduce costs and simplify the system, eliminating the DC-DC converter. [13].…”

Section: Introductionmentioning

confidence: 99%

“…The previous work also presents techniques illustrating the high-quality transit performance required in grid-connected scenarios with more than two PI controllers [13]. Thus, it is mandatory to fine-tune PI gains during the transient regime to achieve better efficiency.…”

Section: Introductionmentioning

confidence: 99%

“…Thus, it is mandatory to fine-tune PI gains during the transient regime to achieve better efficiency. One of the most robust methods applied for PI gain setting is fuzzy logic control (FLC) [13]. Due to the simplicity and flexibility of FLC, it is used to control intelligent nonlinear systems and other complex applications.…”

Section: Introductionmentioning

confidence: 99%

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Benefits of Fuzzy Logic on MPPT and PI Controllers in the Chain of Photovoltaic Control Systems

2022

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This paper presents a comparative study between two maximum power point tracking (MPPT) algorithms, the incremental conductance algorithm (InC) and the fuzzy logic controller (FLC). The two algorithms were applied to a low photovoltaic power conversion system, and they both use different PI controllers and grid synchronization techniques. Moreover, both InC and FLC methods have Clarke and Park Transformation. To some extent, the incremental conductance and fuzzy logic controller approaches are similar, but their control loops are different. Therefore, the InC has classic Proportional Integrative (PI) controllers with simple phase-locked loops (PLL). At the same time, the FLC works with fuzzy logic PI controllers linked with the Second Order Generalized Integrator (SOGI). The proposed techniques examine the solar energy conversion performance of the photovoltaic (PV) system under possible irradiance changes and constant temperature conditions. Finally, a performance comparison has been made between InC and FLC, which demonstrates the effectiveness of the fuzzy controller over the incremental conductance algorithm. FLC turns to convert photovoltaic power easily, decreasing fluctuations, and it offers a quick response to the variation of solar irradiance (shading effect). The simulation results show a superior performance of the controller with fuzzy logic, which helps the inverter convert over 99% of the power generated by the photovoltaic panels. In comparison, the incremental conductance algorithm converts around 80%.

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“…Furthermore, the PV panel can be connected directly to the inverter to reduce costs and simplify the system, eliminating the DC-DC converter. [13].…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Benefits of Fuzzy Logic on MPPT and PI Controllers in the Chain of Photovoltaic Control Systems

2022

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“…1913 systems with the grid [6][7][8], various control methods to improve power quality such as: reduction of total harmonic distortion [3,9], and reactive power injection strategies [4,10] including low voltage ride through capabilities [11][12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Design of type-1 servo controller for grid voltage modulated direct-power control of single-phase grid-connected PV inverter

Radwan

Nour²,

Baniyounes

et al. 2021

IJECE

Self Cite

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This paper presents direct control of active and reactive power using grid voltage modulation for single-phase grid-connected photovoltaic inverter. A design of type-1 servo system based on pole-placement method is proposed to control the power flow using a simplified multiple-input multiple-output (MIMO) model of the system. Phase-locked loop (PLL) with a quarter cycle time delay is used to estimate the grid phase angle for the purpose of performing the stationary and synchronous reference frame transformation. Unipolar pulse width modulation (PWM) technique is used to control a single-phase inverter with 2.7 KVA capacity connected to the photovoltaic system. The proposed controller can simply be tuned using minimum number of controller gains to achieve the transient and steady-state performance requirements. The proposed system, was capable of operating for a wide range of solar irradiance levels with a power factor in the range of 0.95 (leading/lagging), for the reactive power compensation purposes.

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“…Many studies have researched the MPPT control issue of the PV system in recent years [3][4][5][6][7][8][9][10][11][12]. The MPPT methods for the PV system are summarized and compared in [13].…”

Section: Introductionmentioning

confidence: 99%

Maximum Power Point Tracking and Voltage Regulation of Two-Stage Grid-Tied PV System Based on Model Predictive Control

Liu

Lee

2020

Energies

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This paper proposes a maximum power point tracking (MPPT) and voltage regulation method based on model predictive control (MPC) for the two-stage grid-tied photovoltaic (PV) system, which can achieve MPPT and output voltage regulation of a PV system simultaneously. The MPPT algorithm based on MPC is implemented in a DC-DC boost converter. The reference voltage at maximum power point is obtained by dual step Incremental Conductance (I&C) algorithm under the rapidly varying illumination intensity, and the MPPT controller only needs to minimize one cost function of PV current, without pulse width modulation (PWM) module. To inject the generated PV power into the grid with high quality, this paper designs voltage regulation controller based on MPC to maintain the output voltage of the PV system at the desired value. The MPC controller outputs the optimal duty signal with the input and state constraints in the inner loop, and the PI controller in the outer loop is designed to improve the dynamic performance. The proposed method based on MPC was demonstrated using the SimPower systems tool in MATLAB/Simulink. Analysis and simulation results for the PV system show possible improvements on the closed-loop performance such as fast response and low overshoot.

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Fuzzy Logic Control for Low-Voltage Ride-Through Single-Phase Grid-Connected PV Inverter

Cited by 15 publications

References 18 publications

Benefits of Fuzzy Logic on MPPT and PI Controllers in the Chain of Photovoltaic Control Systems

Benefits of Fuzzy Logic on MPPT and PI Controllers in the Chain of Photovoltaic Control Systems

Design of type-1 servo controller for grid voltage modulated direct-power control of single-phase grid-connected PV inverter

Maximum Power Point Tracking and Voltage Regulation of Two-Stage Grid-Tied PV System Based on Model Predictive Control

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