Receding-Horizon Model-Predictive Control for a Three-Phase VSI With an LCL Filter

Abstract

This paper presents a Continuous Control Set Model Predictive Control with a receding horizon for a three-phase voltage source inverter with an LCL filter. In this proposal, a reduced model of the converter with an embedded integrator and a Kalman filter are used to obtain the inverter-side currents without oscillation. Then, a cost function makes use of these currents to generate the optimum duty cycles for the space vector modulator. With the proposed method, active damping performances, a zero state error and a reduction of the computational burden are achieved. Compared to the Finite Control Set Model Predictive Control, the proposed method operates with a fixed switching frequency. Simulations and experimental results show that this proposal works correctly even in the case of grid harmonics and voltage sags.

Model Predictive Control Method Based on Deterministic Reference Voltage for Single-Phase Three-Level NPC Converters

“…Additionally, capacitor voltage variations during one sampling period, ∆v cx (k) (3) and (6), is determined by the switching states, S a and S b , and the source current. The variance among the upper capacitor voltage and the lower capacitor voltage at the kth instant is described as:…”

“…Recently, single-phase three-level neutral point clamped (NPC) converters have been addressed for various applications, especially in the interface of renewable energy sources and storage system because of its reduced total harmonic distortion (THD), lower device power losses, and lower electromagnetic interference (EMI) compared with two-level converters [1][2][3][4][5][6][7][8]. Three-level NPC converters operated with model predictive control (MPC) methods, aided by fast and inexpensive microprocessors, are currently used to generate sinusoidal voltage and current [9][10][11][12].…”

A Comprehensive Double-Vector Approach to Alleviate Common-Mode Voltage in Three-Phase Voltage-Source Inverters with a Predictive Control Algorithm

“…Therefore, methods for reducing the CM voltage without deteriorating the inverter performance have been studied extensively [9][10][11][12][13][14][15][16]. Recently, a model predictive control (MPC) method was studied for VSIs owing to its flexibility and simplicity of control [17][18][19][20][21][22][23][24][25][26][27][28][29]. Utilizing the basic principle that VSIs can apply two zero vectors and six different non-zero active voltage vectors to the load, seven different future current behaviors, which change according to the voltage vectors, can be predicted by the MPC method.…”

“…Finally, the VSI using the MPC method applies the optimal voltage vector during each sampling period. Because of its simplicity, the MPC method has been used extensively to control the line current of many non-VSI converters, which are matrix converters, multiphase inverters, and multilevel inverters [19][20][21][22][23][24][25][26][27][28][29][30].…”

A Novel Adaptive Model Predictive Control Based Three-Phase Inverter Current Control Method

“…In recent years, MPC has been successfully used in grid-tie converters for renewable energy systems, where it delivers improved dynamic performances, robustness and system stability [3][4][5][6][7][8]. In most of existing applications of MPC for power converters, the control command of next period is directly selected from a finite set of switching states according to the cost function, namely finite-control-set MPC (FCS-MPC) [9][10][11][12].…”