Simplified Predictive Direct Power Control of Three-Phase Three-Level Four-Leg Grid Connected NPC Converter

Abstract

Model Predictive Control (MPC) provides various advantages over traditional controllers in power electronics applications. However, reducing the complexity and computational burden of the Finitecontrol set-model predictive control (FCS-MPC) in multi-leg multilevel inverters is still a challenging task. In this paper, a simplified model predictive direct power control (MPDPC) for a three-level, four-leg gridconnected converter (4L-GCC) is proposed. The main idea of the proposed strategy is to reduce the computational burden of the control algorithm by using only the switching vectors of the first sector to optimize the cost function. The proposed control method can ensure accurate control of active and reactive powers, control of zero-sequence current, as well as DC capacitor voltages balancing without using any weighting factors. Simulation and experimental results are provided to prove the effectiveness and simplicity of the proposed MPC algorithm compared with most-recently proposed solutions.

Reconfigurable Model Predictive Control for Grid Connected PV Systems Using Thirteen-Level Packed E-Cell Inverter

“…classical control schemes [6]. In this section, FCS-MPC for 258 the proposed PEC13 inverter is designed according to the 259 conventional MPC presented in [26] in order to achieve the 260 following objectives: The dynamic model of the grid tied PEC13 inverter is necessary to design the FCS-MPC. According to Fig.…”

“…By using Euler forward method to discretize the continuous model presented in (1), the discrete model of grid current in terms of the sampling time T s , is described as [26] i…”

“…Recently, finite-control set model predictive control 115 (FCS-MPC) has been intensively used for power converters 116 control [24], [25]. FCS-MPC gets rid of the PI regulators 117 and modulation stage; meanwhile it has the capability to 118 include system nonlinearities and constraints in the control 119 objective [26]. Due to its simplicity, FCS-MPC has been 120 employed to control MLIs for numerous applications such 121 as AC motor drives, high-voltage direct current (HVDC), 122 flexible AC transmission systems (FACTS), medium and high 123 voltage power applications [8], [9].…”

Predictive discrete‐time sliding mode based direct power control for grid‐connected energy conversion systems

“…In this method, control switching sequence is calculated based on the power ripple minimization principle in every sampling period. Although the constant switching frequency and reduced power ripples are obtained, despite the significant advantages of model predictive control (MPC) based DPC, they suffer from a large computational complexity especially for ML-VSCs [25][26][27][28]. This restriction has encouraged the researchers to develop new MPC based DPC approach.…”

Low Computational Burden Predictive Direct Power Control of Quasi Z-Source Inverter for Grid-Tied PV Applications

“…To overcome the mentioned issues with the traditional MPC, the combination of MPC and instantaneous power theory results in a new DPC family known as predictive direct power control (PDPC). Compared to the DPC, the PDPC assures optimal vector selection depending on the power ripple minimization concept using cost function minimization [32]. Furthermore, the predictive power control with space vector modulation (PDPC-SVM) is applied to alleviate the variable frequency of PDPC, as described in [33].…”