A New Variable-Frequency Optimal Direct Power Control Algorithm

Alonso-Martínez, Jaime; Eloy-García, Joaquin; Santos-Martín, David; Arnaltes, Santiago

doi:10.1109/tie.2011.2167732

Cited by 32 publications

(8 citation statements)

References 27 publications

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“…The current THD is about 5.33% when calculated up to 500th harmonics. Because only one voltage vector is applied during one control period, there is a broad harmonic spectrum, as shown in [33], [19], and [18].…”

Section: A Simulation Resultsmentioning

confidence: 99%

Low Complexity Model Predictive Control—Single Vector-Based Approach

Zhang

Xie

2014

IEEE Trans. Power Electron.

136

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Finite control set model predictive control (FCS-MPC) is emerging as a powerful control scheme in the control of power converters, because it takes the discrete nature of power converters into account and offers a flexible way to consider various constraints. However, conventional FCS-MPC requires to evaluate a cost function for each discrete switching states, which poses high computational burden. This paper proposes a low-complexity MPC (LC-MPC), which only requires one prediction to find the best voltage vector. The principle of LC-MPC is inherited from prior direct current control (DCC), but has been generalized by identifying its advantages, limitations, and potential application areas. Furthermore, the relationship between LC-MPC and FCS-MPC is studied and it is found that in some cases, the LC-MPC is completely equivalent to FCS-MPC. This paper presents the application example of LC-MPC in power control of three-phase ac/dc converter. To make it a success, the negative conjugate of complex power in synchronous frame is selected as the control variable. Detailed principle of vector selection is introduced and the reason for requiring only one prediction in the proposed LC-MPC is strictly proven using mathematical tools. The proposed LC-MPC is compared with conventional FCS-MPC and its effectiveness is verified by both simulation and experimental results from a two-level ac/dc converter.Index Terms-AC/DC converter, low complexity, model predictive control (MPC), power control.

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Section: A Simulation Resultsmentioning

confidence: 99%

Low Complexity Model Predictive Control—Single Vector-Based Approach

Zhang

Xie

2014

IEEE Trans. Power Electron.

136

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“…The algorithms based on the supply voltage and the virtual flux of the supply voltage are regarded as VOC and VFOC, respectively. Likewise, the DPC methods can be classified as Voltage based Direct Power Control (V-DPC) [14], [15] and Virtual Flux based Direct Power Control (VF-DPC) [16]. Hysteresis controllers and switching tables have been used to control the PWM rectifiers in the conventional oriented control and DPC methods [9], [14].…”

Section: Introductionmentioning

confidence: 99%

A Kalman Filter based Predictive Direct Power Control Scheme to Mitigate Source Voltage Distortions in PWM Rectifiers

Moon¹,

Kim²,

Roh³

et al. 2017

Journal of Power Electronics

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In this paper, a predictive direct power control (DPC) method based on a Kalman filter is presented for three-phase pulse-width modulation (PWM) rectifiers to improve the performance of rectifiers with source voltages that are distorted with harmonic components. This method can eliminate the most significant harmonic components of the source voltage using a Kalman filter algorithm. In the process of predicting the future real and reactive power to select an optimal voltage vector in the predictive DPC, the proposed method utilizes source voltages filtered by a Kalman filter, which can mitigate the adverse effects of distorted source voltages on control performance. As a result, the quality of the source currents synthesized using the PWM rectifier is improved, and the total harmonic distortion (THD) values are reduced, even under distorted source voltages.

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“…As an alternative to the voltage-oriented control (VOC) [1], the most commonly used control strategy for three-phase PWM converters, that is, the direct power control (DPC) [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19], has emerged in this field for two decades. Recent investigations on DPC mainly originated from the look-up-table DPC (LUTDPC) proposed in [2] (also called as the conventional LUTDPC).…”

Section: Introductionmentioning

confidence: 99%

“…Hence, multifarious improved DPC schemes have been proposed to overcome the aforementioned disadvantages, for example, [8,9] developed optimised switching tables for DPC, and as a result, less power ripples were generated; in [10,11], DPC was combined with fuzzy logic rules, then a predefined switching table was omitted, and the instantaneous power was controlled smoothly; predictive direct power control (PDPC) schemes were presented in [12][13][14][15][16]. To summary, PDPC proposed in recent works can be classified into two main categories: PDPC based on system model [12,13] and PDPC based on instantaneous power variation rates [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Voltage sensorless predictive direct power control of three‐phase PWM converters

Tao

Wang

Tang

2016

IET Power Electronics

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This study develops a voltage sensorless predictive direct power control (PDPC) strategy for three-phase pulsewidth modulation (PWM) converters using accurate virtual flux (VF) estimation. This proposed PDPC can realise simultaneous control of the instantaneous active and reactive power, and achieve a constant switching frequency operation by adopting an on-line corrective space vector modulation modulator. AC voltage sensors are removed by using the following two techniques. One is that an accurate VF observer is employed to compensate the magnitude and phase errors introduced by the first-order low pass filter. The other is that grid voltages are estimated using the VF based estimation of instantaneous active and reactive power as intermediate variables. In addition, the time delay existing in a real system is taken into account in the proposed control model. Comparative results demonstrate the excellent performance of the proposed approach compared with the conventional look-up-table DPC and the conventional PDPC.

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A New Variable-Frequency Optimal Direct Power Control Algorithm

Cited by 32 publications

References 27 publications

Low Complexity Model Predictive Control—Single Vector-Based Approach

Low Complexity Model Predictive Control—Single Vector-Based Approach

A Kalman Filter based Predictive Direct Power Control Scheme to Mitigate Source Voltage Distortions in PWM Rectifiers

Voltage sensorless predictive direct power control of three‐phase PWM converters

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