Predictive control based on analytic model for PV grid-connected inverters

Wu, Jian; Jing, Zhong; Li, Longfei; Cong, Tang; Yu, Lu

doi:10.1109/ccdc.2012.6244003

Cited by 4 publications

(5 citation statements)

References 5 publications

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“…For critically controlling the dc voltage of an on-grid PV inverter, a predictive control strategy was proposed in Reference [25] based on the relationship of the energy balance during the control period. For ameliorating the on-grid PV current, the exact transient analytic model was proposed in Reference [26]. For an on-grid inverter utilizing a PV source, a model predictive direct power control technique was designed in Reference [27] which can efficiently track the insolation change and the output power with an improved steady-state and dynamic response.…”

Section: Controllers Advantages Disadvantagesmentioning

confidence: 99%

“…Waveforms of the instantaneous conduction and switching losses in MPC using Equations(22) and(26) respectively. Waveforms of the instantaneous conduction and switching losses in MPC using Equations(22) and(26) respectively.…”

mentioning

confidence: 99%

“…Waveforms of the instantaneous conduction and switching losses in MPC using Equations(22) and(26) respectively. (a) Conduction, (b) switching, and (c) harmonic loss in the conventional FCS-MPC and the proposed FCS-MPC based controller.…”

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confidence: 99%

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Power Loss Analysis of Solar Photovoltaic Integrated Model Predictive Control Based On-Grid Inverter

et al. 2020

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This paper presents a finite control-set model predictive control (FCS-MPC) based technique to reduce the switching loss and frequency of the on-grid PV inverter by incorporating a switching frequency term in the cost function of the model predictive control (MPC). In the proposed MPC, the control objectives (current and switching frequency) select an optimal switching state for the inverter by minimizing a predefined cost function. The two control objectives are combined with a weighting factor. A trade-off between the switching frequency (average) and total harmonic distortion (THD) of the current was utilized to determine the value of the weighting factor. The switching, conduction, and harmonic losses were determined at the selected value of the weighting factor for both the proposed and conventional FCS-MPC and compared. The system was simulated in MATLAB/Simulink, and a small-scale hardware prototype was built to realize the system and verify the proposal. Considering only 0.25% more current THD, the switching frequency and loss per phase were reduced by 20.62% and 19.78%, respectively. The instantaneous overall power loss was also reduced by 2% due to the addition of a switching frequency term in the cost function which ensures a satisfactory empirical result for an on-grid PV inverter.

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Section: Controllers Advantages Disadvantagesmentioning

confidence: 99%

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confidence: 99%

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Power Loss Analysis of Solar Photovoltaic Integrated Model Predictive Control Based On-Grid Inverter

et al. 2020

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“…To achieve this, an inverter control strategy is essential to ensure the maximum power transfer and best power quality along with active and reactive power management [11]. The filters are also required for mitigating harmonics, but the harmonics can be reduced to decent allowable levels as per standards with the help of an inverter control strategy [12,13].…”

Section: Inverter Controlmentioning

confidence: 99%

Power Quality Improvement in a Grid-Tied SPV System Using Fractional-Order Proportional Integral Controller

Gakhar

Gupta

2020

Algorithms for Intelligent Systems

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“…In the inverter control strategy, the inverter converts the dc power to ac power using a control mechanism [12][13]. Majorly the control mechanism for the inverter is based on the combination of certain cascaded loops.…”

Section: Inverter Control Strategymentioning

confidence: 99%

A novel control strategy for power quality improvement in grid-connected solar photovoltaic system

Gakhar

Gupta

2019

IJEECS

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<p>In this paper, a novel and dynamic, current control based inverter control strategy has been used for energy optimization and power quality improvement in a grid-connected solar photovoltaic plant using a PI controller. The output of the plant is delivered to the grid passing through a boost converter controlled by an MPPT controller and an inverter. The control strategy proposed offers the flexibility to keep control of active as well as reactive power being injected straight into the grid and also helps in mitigating the total harmonic distortion levels. Also, the effect of the conventional PI controller and PI controller optimized through Genetic Algorithm has been compared. The GA-PI controller has been found effective in reducing the Total Harmonic Distortion in the current injected in the grid. The effectiveness of the work has been observed by using a MATLAB/SIMULINK environment.</p>

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Predictive control based on analytic model for PV grid-connected inverters

Cited by 4 publications

References 5 publications

Power Loss Analysis of Solar Photovoltaic Integrated Model Predictive Control Based On-Grid Inverter

Power Loss Analysis of Solar Photovoltaic Integrated Model Predictive Control Based On-Grid Inverter

Power Quality Improvement in a Grid-Tied SPV System Using Fractional-Order Proportional Integral Controller

A novel control strategy for power quality improvement in grid-connected solar photovoltaic system

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