scholarly journals Finite Control Set Model Predictive Control for an LCL-Filtered Grid-Tied Inverter with Full Status Estimations under Unbalanced Grid Voltage

Energies ◽  
2019 ◽  
Vol 12 (14) ◽  
pp. 2691 ◽  
Author(s):  
Xiaotao Chen ◽  
Weimin Wu ◽  
Ning Gao ◽  
Jiahao Liu ◽  
Henry Shu-Hung Chung ◽  
...  
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Reactive Power ◽  
Grid Voltage ◽  
Luenberger Observer ◽  
Reference Generator ◽  
Three Phase ◽  
Finite Control ◽  
Control Set ◽  
Unbalanced Grid

This paper proposes a novel finite control set model predictive control (FCS-MPC) strategy with merely grid-injected current sensors for an inductance-capacitance-inductance (LCL)-filtered grid-tied inverter, which can obtain a sinusoidal grid-injected current whether three-phase grid voltages are balanced or not. Compared with the conventional FCS-MPC method, four compositions are added in the proposed FCS-MPC algorithm, where the grid voltage observer (GVO) and Luenberger observer are combined together to achieve full status estimations (including grid voltage, capacitor voltage, inverter-side current, and grid-injected current), while the sequence extractor and the reference generator are applied to eliminate the double frequency ripples of the active or reactive power, or the negative sequence component (NSC) of the grid-injected current caused by the unbalanced grid voltage. Simulation model and experimental platform are established to verify the effectiveness of the proposed FCS-MPC strategy, with full status estimations under both balanced and unbalanced grid voltage conditions.

Finite Control Set Model Predictive Control for Dynamic Reactive Power Compensation With Hybrid Active Power Filters

2018 ◽  
Vol 65 (3) ◽  
pp. 2608-2617 ◽  
Author(s):  
Silvia Costa Ferreira ◽  
Robson Bauwlez Gonzatti ◽  
Rondineli Rodrigues Pereira ◽  
Carlos Henrique da Silva ◽  
L. E. Borges da Silva ◽  
...  
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Reactive Power ◽  
Reactive Power Compensation ◽  
Active Power ◽  
Active Power Filters ◽  
Power Filters ◽  
Finite Control ◽  
Control Set

scholarly journals Active damping method for voltage source inverter-based distributed generator using multivariable finite-control-set model predictive control

2021 ◽  
Vol 12 (1) ◽  
pp. 334
Author(s):  
Jonggrist Jongudomkarn ◽  
Warayut Kampeerawat
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Active Damping ◽  
Superior Performance ◽  
Voltage Source ◽  
Lcl Filter ◽  
Grid Voltage ◽  
Grid Current ◽  
Finite Control ◽  
Control Set

Despite its advantages, the LCL filter can significantly distort the grid current and constitute a substantially more complex control issue for the grid-connected distributed generators (DGs). This paper presents an active damping approach to deal with the LCL filter's oscillation for the finite-control-set model predictive control (FCS-MPC)-three-phase voltage source inverters (VSIs)-based DG. The new approaches use the multivariable control of the inverter side's filter current and capacitor voltage to suppress the LCL filter resonance. The proposed method has been tested in steady-state and under grid voltage disturbances. The comparative study was also conducted with the existing virtual resistance active damping approaches for an FCS-MPC algorithm. The study validates the developed control schemes' superior performance and shows its ability to eliminate lower-order grid current harmonics and decrease sensitivity to grid voltage distortion.

scholarly journals Performance Assessment of Grid Forming Converters Using Different Finite Control Set Model Predictive Control (FCS-MPC) Algorithms

2019 ◽  
Vol 9 (17) ◽  
pp. 3513 ◽  
Author(s):  
Mohammed Alhasheem ◽  
Frede Blaabjerg ◽  
Pooya Davari
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Point Of View ◽  
Voltage Source ◽  
Voltage Source Converter ◽  
Linear Load ◽  
Three Phase ◽  
Comparable Performance ◽  
Finite Control ◽  
Control Set

Finite control set model predictive control (FCS-MPC) methods in different power electronic applications are gaining considerable attention due to their simplicity and fast dynamics. This paper introduces an assessment of the two-level three-phase voltage source converter (2L-VSC) utilizing different MPC schemes with and without a modulation stage. In order to perform such a comparative evaluation, 2L-VSC efficiency and total harmonics distortion of the voltage (THDv) have been investigated, when considering a linear load. The results demonstrate the performance of different MPC algorithms through an experimental verification on a Danfoss converter, and a set of analyses have been studied using the PLECS and MATLAB/SIMULINK together. It can be concluded that a comparable performance is achieved by using conventional MPC (CMPC), improved MPC (IMPC), periodic MPC (PMPC), and MPC scheme with modulator (M 2 PC) controllers. The assessment is critical to classify the strategies as mentioned earlier according to their efficiency. Furthermore, it gives a thorough point of view on which algorithm is suitable for the grid-forming applications.

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

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Mohamed Azab
Keyword(s):  
Model Predictive Control ◽  
Cost Function ◽  
Predictive Control ◽  
High Performance ◽  
Reactive Power ◽  
Grid Voltage ◽  
Active And Reactive Power ◽  
Weight Factors ◽  
Three Phase ◽  
Control Scheme

AbstractFinite 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.

scholarly journals A Comparison of Finite Control Set and Continuous Control Set Model Predictive Control Schemes for Model Parameter Mismatch in Three-Phase APF

2021 ◽  
Vol 9 ◽  
Author(s):  
Jianfeng Yang ◽  
Yang Liu ◽  
Rui Yan
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Parameter Uncertainty ◽  
Prediction Error ◽  
Continuous Control ◽  
Power Electronic ◽  
Parameter Mismatch ◽  
Three Phase ◽  
Finite Control ◽  
Control Set

Model predictive control (MPC) methods are widely used in the power electronic control field, including finite control set model predictive control (FCS-MPC) and continuous control set model predictive control (CCS-MPC). The degree of parameter uncertainty influence on the two methods is the key to evaluate the feasibility of the two methods in power electronic application. This paper proposes a research method to analyze FCS-MPC and CCS-MPC’s influence on the current prediction error of three-phase active power filter (APF) under parameter uncertainty. It compares the performance of the two model predictive control methods under parameters uncertainty. In each sampling period of the prediction algorithm, different prediction error conditions will be produced when FCS-MPC cycles the candidate vectors. Different pulse width modulation (PWM) results will be produced when CCS-MPC solves the quadratic programming (QP) problem. This paper presents the simulation results and discusses the influence of inaccurate modeling of load resistance and inductance parameters on the control performance of the two MPC algorithms, the influence of reference value and state value on prediction error is also compared. The prediction error caused by resistance mismatch is lower than that caused by inductance mismatch, more errors are caused by underestimating inductance values than by overestimating inductance values. The CCS-MPC has a better control effect and dynamic performance in parameter mismatch, and the influence of parameter mismatch is relatively tiny.

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