Model Predictive Control of PV Sources in a Smart DC Distribution System: Maximum Power Point Tracking and Droop Control

Shadmand, Mohammad B.; Balog, Robert S.; Abu‐Rub, Haitham

doi:10.1109/tec.2014.2362934

Cited by 202 publications

(72 citation statements)

References 33 publications

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“…inverters) and storage facilities (e.g. energy storage converters) are equipped [22] [23], and this is the situation that will be discussed in this paper. References [24] and [25] have indicated that if (1) is satisfied in an island condition, the frequency at the point of common coupling (PCC) will continuously change.…”

Section: A Usable Formula For Frequency Shift Methodsmentioning

confidence: 99%

Problems in the Classic Frequency Shift Islanding Detection Methods Applied to Energy Storage Converters and a Coping Strategy

Liu

Zhao

Huang

et al. 2018

IEEE Trans. Energy Convers.

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(2018) 'Problems in the classic frequency shift islanding detection methods applied to energy storage converters and a coping strategy.', IEEE transactions on energy conversion., 33 (2). pp. 496-505. Further information on publisher's website: Additional information: Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details.

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Section: A Usable Formula For Frequency Shift Methodsmentioning

confidence: 99%

Problems in the Classic Frequency Shift Islanding Detection Methods Applied to Energy Storage Converters and a Coping Strategy

Liu

Zhao

Huang

et al. 2018

IEEE Trans. Energy Convers.

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“…While, the model-based relations add great perfomance improvements as discussed in [23][24][25][26], previous work has suggested the addition of a second stage of predictive control for even better system perfomance and model accuracy [27]. In order to predict the control variables at time k+2, the estimated value of the PV current, PV voltage and output voltage at time k+1 are used.…”

Section: Maximum Power Point Tracking Using Model Predictive Controlmentioning

confidence: 99%

Sensitivity analysis to model parameter errors of MPPT by model predictive control for photovoltaic applications

Metry

Shadmand

Balog

et al. 2015

2015 First Workshop on Smart Grid and Renewable Energy (SGRE)

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Due to variability of solar energy resources, maximum power point tracking (MPPT) of photovoltaic (PV) is required to ensure continuous operation at the maximum power point (MPP) and maximize the energy harvest. This paper presents a digital model predictive control technique to employ the MPPT for flyback converter for photovoltaic applications. The MPP operating point is determined by using perturb and observe (P&O) technique. The proposed two-steps predictive model based MPPT presents significant advantages in dynamic response and power ripple at steady state. A characteristic of MPC is the use of system models for selecting optimal actuations, thus evaluating the effect of model parameter mismatch on control effectiveness is of interest. In this paper the load model is eliminated from the proposed MPC formulation by using an observer based technique. The sensitivity analysis results indicate a more robust controller to uncertainty and disturbances in the resistive load.I.

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“…With the rapid development of power electronic devices, power density has become increasingly important [16]. One effective method to improve the power density is to increase the switching frequency of power converters.…”

Section: Introductionmentioning

confidence: 99%

A parabolic current control based digital current control strategy for high switching frequency voltage source inverters

Zhang

Born

Zhao

et al. 2016

2016 IEEE Applied Power Electronics Conference and Exposition (APEC)

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Since parabolic current control has fast transient response and high control precision with constant switching frequency, it is an attractive current control strategy for voltage source inverters. The employment of parabolic current control delivers great performance on current waveform control or voltage waveform control. The implementation of parabolic current control usually requires high speed digital-to-analog converters (DACs) to generate a pair of parabolic carriers as the control band. With increases in switching frequency, this requirement becomes more critical because the speed of DAC limits the update rates of the parabolic carriers. This impacts the smoothness and punctuality of the parabolic control band. To solve this issue, a parabolic current control based digital current control strategy is proposed in this paper. The proposed method uses the sensed current of the output inductor to calculate the next duty-cycle. To improve the transient response speed, a duty-cycle adjustment is presented. The performance of the proposed digital control method is verified in simulation.

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Model Predictive Control of PV Sources in a Smart DC Distribution System: Maximum Power Point Tracking and Droop Control

Cited by 202 publications

References 33 publications

Problems in the Classic Frequency Shift Islanding Detection Methods Applied to Energy Storage Converters and a Coping Strategy

Problems in the Classic Frequency Shift Islanding Detection Methods Applied to Energy Storage Converters and a Coping Strategy

Sensitivity analysis to model parameter errors of MPPT by model predictive control for photovoltaic applications

A parabolic current control based digital current control strategy for high switching frequency voltage source inverters

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