Multi-Objective Optimal Model Predictive Control for Three-Level ANPC Grid-Connected Inverter

Xia, Zhenglong; Zhan, Liu; Guerrero, Josep M.

doi:10.1109/access.2020.2981996

Cited by 22 publications

(5 citation statements)

References 23 publications

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“…A modern control technique that has been utilised in recent years to control the operation of gridtied inverters is the FCS-MPC [39][40][41][42][43][44][45][46][47][48][49][50][51][52][53][54][55]. Successful utilisation of the FCS-MPC algorithm has been reported in many studies [56][57][58][59][60][61][62][63][64][65][66][67][68][69]. Most of the existing FCS-MPC schemes for grid-connected inverters are either current controlled [51,61,63,66,70,71] or voltage controlled [72][73][74][75].…”

Section: Literature Reviewmentioning

confidence: 99%

High performance decoupled active and reactive power control for three-phase grid-tied inverters using model predictive control

Azab

2021

Prot Control Mod Power Syst

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Finite control set-model predictive control (FCS-MPC) is employed in this paper to control the operation of a three-phase grid-connected string inverter based on a direct PQ control scheme. The main objective is to achieve high-performance decoupled control of the active and reactive powers injected to the grid from distributed energy resources (DER).The FCS-MPC scheme instantaneously searches for and applies the optimum inverter switching state that can achieve certain goals, such as minimum deviation between reference and actual power; so that both power components (P and Q) are well controlled to their reference values.In addition, an effective method to attenuate undesired cross coupling between the P and Q control loops, which occurs only during transient operation, is investigated. The proposed method is based on the variation of the weight factors of the terms of the FCS-MPC cost function, so a higher weight factor is assigned to the cost function term that is exposed to greater disturbance. Empirical formulae of optimum weight factors as functions of the reference active and reactive power signals are proposed and mathematically derived. The investigated FCS-MPC control scheme is incorporated with the LVRT function to support the grid voltage in fulfilling and accomplishing the up-to-date grid codes. The LVRT algorithm is based on a modification of the references of active and reactive powers as functions of the instantaneous grid voltage such that suitable values of P and Q are injected to the grid during voltage sag.The performance of the elaborated FCS-MPC PQ scheme is studied under various operating scenarios, including steady-state and transient conditions. Results demonstrate the validity and effectiveness of the proposed scheme with regard to the achievement of high-performance operation and quick response of grid-tied inverters during normal and fault modes.

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Section: Literature Reviewmentioning

confidence: 99%

High performance decoupled active and reactive power control for three-phase grid-tied inverters using model predictive control

Azab

2021

Prot Control Mod Power Syst

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“…Multi-objective optimization in electrical drives is widely used during machine design (see detailed literature reviews [72][73][74]). For drive control, multi-objective optimization is partially utilized for model predictive controller design (e.g., [75][76][77]) or (conventional) controller parameter tuning (e.g., [78,79]).…”

Section: Introductionmentioning

confidence: 99%

Multiobjective Hyperparameter Optimization of Artificial Neural Networks for Optimal Feedforward Torque Control of Synchronous Machines

Monzen,

Stroebl,

Palm

et al. 2024

IEEE Open J. Ind. Electron. Soc.

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Multi-objective hyperparameter optimization (MO-HPO) is applied to find optimal artificial neural network (ANN) architectures used for optimal feedforward torque control (OFTC) of synchronous machines. The proposed framework allows to systematically identify Pareto optimal ANNs with respect to multiple (partly) contradictory objectives such as approximation accuracy and computational burden of the considered ANNs. The obtained Pareto optimal ANNs are trained and implemented on a realtime system and tested experimentally for a nonlinear reluctance synchronous machine (RSM) against non-Pareto optimal ANN designs and a state-of-the-art OFTC approach. Finally, based on the most recent results from ANN approximation theory, guidelines for Pareto optimal ANN-based OFTC design and implementation are provided.

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“…In [24], the set of candidate voltage vectors is selected in four cases according to the torque variation and the flux variation, but the switching restriction is not taken into account and results in uneven output voltage and high harmonics. In [25], the number of candidate voltages is reduced to 15 by eliminating the inverter switching states that violate the principle of voltage level change, but the calculation amount also remains large. In [26], the authors constructed a vector preselection table that forbids the voltage level from changing from high to low directly, but it is still necessary to explore 12 voltage vectors.…”

Section: Introductionmentioning

confidence: 99%

A Low Switching Frequency Model Predictive Control Method for an Induction Motor Fed by a 3-Level Inverter

Huang,

Jiang,

Zhang

et al. 2023

Electronics

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Traditional model predictive control (MPC) for the induction motor fed by a three-level inverter needs to explore 27 voltage vectors to obtain the optimal one, which leads to high switching frequency and requires too much computation. To solve this issue, a low switching frequency model predictive control with partition optimization is proposed. First, the reference voltage vector can be gained from the prediction model at the next time, and the space voltage vector plane is divided into 12 sectors for further vector choice. Furthermore, considering inverter constraints, the candidate voltage vectors are determined according to the sector location of the reference voltage vector. In this way, the candidate vectors can be reduced to 3 at most. Then, a boundary circle limit is designed to avoid unnecessary switch changes. If the reference voltage vector is within the boundary limit, the switches do not act, which can reduce the system switching frequency without introducing the extra weight coefficient into the cost function. These selected voltage vectors are substituted into the cost function to determine the optimal one. Finally, the neutral point voltage deviation is controlled by the positive and negative redundant small vectors to realize the multi-objective constraint without weighting coefficients. The simulation results show that the proposed control method can significantly reduce the switching frequency; at the same time, both the dynamic and steady performances can be maintained well, and the cost function has no weight coefficients.

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Multi-Objective Optimal Model Predictive Control for Three-Level ANPC Grid-Connected Inverter

Cited by 22 publications

References 23 publications

High performance decoupled active and reactive power control for three-phase grid-tied inverters using model predictive control

High performance decoupled active and reactive power control for three-phase grid-tied inverters using model predictive control

Multiobjective Hyperparameter Optimization of Artificial Neural Networks for Optimal Feedforward Torque Control of Synchronous Machines

A Low Switching Frequency Model Predictive Control Method for an Induction Motor Fed by a 3-Level Inverter

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