Optimal Current Balance Control of Three-Level Inverter under Grid Voltage Unbalance: An Adaptive Dynamic Programming Approach

Yu, Yunjun; Wang, Zhongyang; Wan, Xiaofeng

doi:10.3390/en12152864

Cited by 6 publications

(3 citation statements)

References 33 publications

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“…The robust optimal performances are demonstrated through various simulations, but they are still not theoretically proven. In Yunjun et al’s study (2019), the ADP-based controller is performed for grid-connected VSI to balance the current under the unbalanced grid voltage. The optimal control problems of the current control loop are solved by ADP with the value iteration method.…”

Section: Introductionmentioning

confidence: 99%

Adaptive optimal sliding mode control for three-phase voltage source inverter: Reinforcement learning approach

Thi-Thuy Vu,

Xuan Nguyen,

Quang Bui

2023

Transactions of the Institute of Measurement and Control

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The operation of the three-phase standalone inverter is affected by many factors, such as heavy changes in load, unbalanced loads, nonlinear loads, system uncertainties and external disturbances. These are critical weaknesses for the control system of the three-phase inverter to reach robust optimal performance. This paper proposes an adaptive optimal sliding mode control (AOSMC) scheme for a three-phase nonlinear uncertain inverter. This AOSMC strategy solves the problems of nonlinear optimization by adaptive dynamic programming, one of the techniques of reinforcement learning, and overcomes the uncertainties and disturbance effects by a disturbance observer–based sliding mode controller. This algorithm uses only one neural network to approximate the critic; therefore, the burden of computation is significantly reduced. Both the weight matrix of the critic network and the disturbance observer are asymptotically stable. The overall system is guaranteed to be ultimately uniformly bounded stable via Lyapunov stable theory. The simulation is conducted to validate the insensitivity of the proposed AOSMC algorithm to working conditions. Also, the competitive results are presented to demonstrate the improvement of the proposed AOSMC scheme in comparison to some other existing controllers.

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Section: Introductionmentioning

confidence: 99%

Adaptive optimal sliding mode control for three-phase voltage source inverter: Reinforcement learning approach

Thi-Thuy Vu,

Xuan Nguyen,

Quang Bui

2023

Transactions of the Institute of Measurement and Control

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“…Several control techniques have been suggested under unbalanced grid voltage conditions [9][10][11][12][13][14][15]. Some approaches have extracted the symmetrical components of the unbalanced grid voltages ( positive-and negative-phase sequences) and then have tried to balance currents under unbalanced grid voltage conditions.…”

Section: Introductionmentioning

confidence: 99%

Three-Phase Grid-Connected Inverter Power Control under Unbalanced Grid Conditions Using a Time-Domain Symmetrical Components Extraction Method

et al. 2022

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Presented in this paper is a method of bidirectional real and reactive power control of a three-phase grid-connected inverter under unbalanced grid situations. Unbalanced three-phase load and unbalanced grid impedance are illustrations of unbalanced grid issues that have been investigated. As a result, both grid currents and point-of-common-coupling (PCC) voltages will be unbalanced. The real and reactive power that is delivered to the grid oscillates by a significant amount in these unbalanced conditions. A time-domain symmetrical components extraction approach is used to calculate the inverter’s reference currents from the negative- and zero-sequence components of the measured currents. The suggested approach corrects unbalanced grid currents and unbalanced PCC voltages, and provides the desired real and reactive power to the grid when unbalanced situations exist. As a consequence, power oscillations will be eliminated, and power control will be possible. The suggested method’s performance is supported by simulation, and various experimental results are obtained utilizing the dSPACE DS1202 real-time interface platform.

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“…The concept of dynamic programming of inverters, aimed at limiting voltage asymmetry, has been presented in publications [14][15][16], and the use of STATCOM systems is presented in publications [17,18].…”

Section: Introductionmentioning

confidence: 99%

Electric Arc Furnaces as a Cause of Current and Voltage Asymmetry

Olczykowski

2021

Energies

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In the case of three-phase arc furnaces, two types of asymmetry can be distinguished: constructional and operational. The structural asymmetry is related to the construction of high-current circuits supplying the arc furnace. The knowledge of the parameters of the high-current circuit allows to determine the operating characteristics of the arc device. The author proposed a method for calculating the real values of the resistance and reactance of the high-current circuit. For this purpose, tests were made to short-circuit the electrodes with the charge. During the short-circuit, with the use of a power quality analyzer, measurements of electrical indicators were carried out, which allow to determine the parameters of the high-current circuit. A new method for determining voltage operational unbalance is also presented in this paper. The theoretical considerations presented in the article were verified in industrial conditions.

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Optimal Current Balance Control of Three-Level Inverter under Grid Voltage Unbalance: An Adaptive Dynamic Programming Approach

Cited by 6 publications

References 33 publications

Adaptive optimal sliding mode control for three-phase voltage source inverter: Reinforcement learning approach

Adaptive optimal sliding mode control for three-phase voltage source inverter: Reinforcement learning approach

Three-Phase Grid-Connected Inverter Power Control under Unbalanced Grid Conditions Using a Time-Domain Symmetrical Components Extraction Method

Electric Arc Furnaces as a Cause of Current and Voltage Asymmetry

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