Improved Reference Generation of Active and Reactive Power for Matrix Converter With Model Predictive Control Under Input Disturbances

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.

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Active and reactive power coordinated optimal dispatch in active distribution network based on model predictive control

Journal of Physics Conference Series ◽

10.1088/1742-6596/2113/1/012056 ◽

2021 ◽

Vol 2113 (1) ◽

pp. 012056

Author(s):

Hanbing Qu ◽

Zheng Xu ◽

Bo Wang ◽

Pu Zhao

Keyword(s):

Model Predictive Control ◽

Predictive Control ◽

Reactive Power ◽

Distribution Network ◽

Storage Capacitor ◽

Forecast Errors ◽

Optimal Dispatch ◽

Active Distribution Network ◽

Active And Reactive Power ◽

The Impact

Abstract With the proliferation of the distributed energy resources (DERs), the scheduling and control of the distribution network have become more complicated. To cope with the uncertainty nature of distributed generation, a multi-timescale optimal dispatch method in active distribution network (ADN) based on the model predictive control (MPC) is proposed in this paper. First, based on MPC, a hierarchical scheduling framework for ADN is established, including long-timescale stage, and short-timescale stage. Then, via coordinated control of various resources in the ADN, i.e., distributed generators, energy storage, capacitor banks and OLTC transformer, the impact of intermittent renewable energy and load forecast errors can be reduced. Finally, considering the coupling characteristics of active and reactive power in the ADN, a joint active and reactive power optimization model is proposed to further reduce the network loss. Numerical simulation on a modified IEEE-33 distribution network system verifies the correctness and superiority of the proposed scheduling approach.

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Current control and reactive power minimization of a direct matrix converter induction motor drive with Modulated Model Predictive Control

2015 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE) ◽

10.1109/precede.2015.7395591 ◽

2015 ◽

Cited By ~ 14

Author(s):

Manjusha Vijayagopal ◽

Lee Empringham ◽

Liliana de Lillo ◽

Luca Tarisciotti ◽

Pericle Zanchetta ◽

...

Keyword(s):

Model Predictive Control ◽

Induction Motor ◽

Predictive Control ◽

Reactive Power ◽

Matrix Converter ◽

Current Control ◽

Motor Drive ◽

Induction Motor Drive ◽

Power Minimization

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Reactive power compensation for grid byPacked-U-Cell inverter using model predictive control strategy with intelligent multi-objective scheme

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-189749 ◽

2021 ◽

pp. 1-14

Author(s):

Mohd. Anas Anees ◽

Mohammad ◽

Kaif Ahmed Lodi ◽

Mahetab Alam ◽

Ripon K. Chakrabortty ◽

...

Keyword(s):

Model Predictive Control ◽

Real Time ◽

Predictive Control ◽

Control Strategy ◽

Reactive Power ◽

Harmonic Distortion ◽

Hardware In The Loop ◽

Power Demand ◽

Active And Reactive Power ◽

Capacitor Voltage

This paper proposes a model predictive control strategy for 15 level Packed-U-Cell inverter that satisfies multiple-objectives of low current total harmonic distortion (THD), capacitor voltage balances, supply of desired active and reactive power, as well as lower switching and lower voltage stresses on the switching devices. The proposed device performs well under dynamic conditions and can successfully track the current command during step changes in the power demand. A detailed modeling is presented and discussed. MATLAB/Simulink is used for obtaining the simulation results, and the results are validated in the real time by using a hardware-in-the-loop (HIL) Typhoon 402 real-time emulator.

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