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Research on AC Electronic Load with Energy Recovery Based on finite control set model predictive control

Energy Engineering 2023年第4期120卷 965-984页

作者： Jian Wang Jianzhong Zhu Xueyu Dong Chenxi Liu Jiazheng Shen School of Electric Power Engineering Nanjing Institute of TechnologyNanjing211167China School of Electrical Engineering Southeast UniversityNanjing210096China

Nowadays,AC electronic loads with energy recovery are widely used in the testing of uninterruptible power supplies and power supply equipment.To tackle the problems of control difficulty,strategy complexity,and poor dynamic performance of AC electronic load with energy recovery of the conventional control strategy,a control strategy of AC electronic load with energy recovery based on finite control set model predictive control(FCSMPC)is developed.To further reduce the computation burden of the FCS-MPC,a simplified FCS-MPC with transforming the predicted variables and using sector to select expected state is proposed.Through simplified model and equivalent approximation analysis,the transfer function of the system is obtained,and the stability and robustness of the system are analyzed.The performance of the simplified FCS-MPC is compared with space vector control(SVPWM)and conventional FCS-MPC.The results show that the FCS-MPC method performs better dynamic response and this advantage is more obvious when simulating high power loads.The simplified FCS-MPC shows similar control performance to conventional FCS-MPC at less computation burden.The control performance of the system also shows better simulation results.

关键词： AC electronic load energy recovery finite control set model predictive control computation burden

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Research on Mixed Logic Dynamic modeling and finite control set model predictive control of Multi-Inverter Parallel System

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Energy Engineering 2023年第3期120卷 649-664页

作者： Xiaojuan Lu Mengqiao Chen Qingbo Zhang Lanzhou Jiaotong University Lanzhou730070China

Parallel connection of multiple inverters is an important means to solve the expansion,reserve and protection of distributed power generation,such as photovoltaics.In view of the shortcomings of traditional droop control methods such as weak anti-interference ability,low tracking accuracy of inverter output voltage and serious circulation phenomenon,a finite control set model predictive control(FCS-MPC)strategy of microgrid multiinverter parallel system based on Mixed Logical Dynamical(MLD)modeling is proposed.Firstly,the MLD modeling method is introduced logical variables,combining discrete events and continuous events to form an overall differential equation,which makes the modeling more accurate.Then a predictive controller is designed based on the model,and constraints are added to the objective function,which can not only solve the real-time changes of the control system by online optimization,but also effectively obtain a higher tracking accuracy of the inverter output voltage and lower total harmonic distortion rate(Total Harmonics Distortion,THD);and suppress the circulating current between the inverters,to obtain a good dynamic response.Finally,the simulation is carried out onMATLAB/Simulink to verify the correctness of the model and the rationality of the proposed strategy.This paper aims to provide guidance for the design and optimal control of multi-inverter parallel systems.

关键词： Multiple inverters in parallel microgrid mixed logic dynamic model finite control set model predictive control circulation

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Adaptive finite control set model predictive control Scheme for Single-phase Inverters with LCL Filter

Adaptive Finite Control Set Model Predictive Control Scheme ...

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第三十九届中国控制会议

作者： Po Li Zihan Song Haodong Zhang Wentao Jin Department of Instrumental and Electrical Engineering School of Aerospace Engineering Xiamen University

Grid-connected inverter, as one of the core components of power system, plays an important role in renewable energy generation. Many control methods for inverters are widely studied. Among them, finite control set model predictive control（FCS MPC） has many advantages, such as fast transient response, simple implementation and convenience to consider nonlinear and constraints. However, FCS MPC also has some shortcomings, one of which is that the performance of predictive algorithm is easily affected by the system model. The performance of the traditional FCS MPC algorithm is susceptible to model errors and parameter variations. To solve this problem, an adaptive FCS MPC algorithm is designed in this paper. The single-phase inverter with LCL filter is selected as the control plant. Since the use of sensors will increase the cost of system, how to reduce the number of sensors is also researched. The traditional FCS MPC and proposed adaptive FCS MPC algorithm with fewer sensors are simulated respectively. The effectiveness of proposed method is confirmed by the results.

关键词： finite control set model predictive control LCL filter Inverters Adaptive control

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FCS-MPC Strategy for PV Grid-Connected Inverter Based on MLD model

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Energy Engineering 2021年第6期118卷 1729-1740页

作者： Xiaojuan Lu Qingbo Zhang Lanzhou Jiaotong University Lanzhou730070China

In the process of grid-connected photovoltaic power generation,there are high requirements for the quality of the power that the inverter breaks into the grid.In this work,to improve the power quality of the grid-connected inverter into the grid,and the output of the system can meet the grid-connected requirements more quickly and accurately,we exhibit an approach toward establishing a mixed logical dynamical(MLD)model where logic variables were introduced to switch dynamics of the single-phase photovoltaic inverters.Besides,based on the model,our recent efforts in studying the finite control set model predictive control(FCS-MPC)and devising the output current full state observer are exciting for several advantages,including effectively avoiding the problem of the mixed-integer quadratic programming(MIQP),lowering the THD value of the output current of the inverter circuit,improving the quality of the power that the inverter breaks into the grid,and realizing the current output and the grid voltage same frequency and phase to meet grid connection requirements.Finally,the effectiveness of the mentioned methods is verified by MATLAB/Simulink simulation.

关键词： Photovoltaic grid-connected inverter hybrid logic dynamic model finite control set model predictive control full state observer

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model predictive control-Based Direct Torque control for Matrix Converter-Fed Induction Motor with Reduced Torque Ripple

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CES Transactions on Electrical Machines and Systems 2021年第2期5卷 90-99页

作者： Hanbing Dan Peng Zeng Wenjing Xiong Meng Wen Mei Su Marco Rivera the Hunan Provincial Key Laboratory of Power Electronics Equipment and Gird School of AutomationCentral South UniversityChangsha410083 China the Yunnan Mobile Communication Company Limited Yunnan678000 China Department of Electrical Engineering Universidad de TalcaCuricoPB3341717 Chile

To reduce the torque ripple in motors resulting from the use of conventional direct torque control(DTC),a model predictive control(MPC)-based DTC strategy for a direct matrix converter-fed induction motor is proposed in this paper.Two new look-up tables are proposed,these are derived on the basis of the control of the electromagnetic torque and stator flux using all the feasible voltage vectors and their associated switching states.finite control set model predictive control(FCS-MPC)has then been adopted to select the optimal switching state that minimizes the cost function related to the electromagnetic torque.Finally,the experimental results are shown to verify the reduced torque ripple performance of the proposed MPC-based DTC method.

关键词： Direct torque control finite control set model predictive control induction motor matrix converter

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MPC based controller Design of Battery Integrated Modular Multilevel Converter

MPC based Controller Design of Battery Integrated Modular Mu...

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第40届中国控制会议

作者： Fang Xu Zhongyi Guo Qifang Liu Hong Chen Yali Qu State Key Laboratory of Automotive Simulation and control Jilin University College of Communication Engineering Jilin University Department of control science and engineering Tongji University Huawei Technologies Co. Ltd.

The control performance of converter directly affects the drive efficiency of electric vehicle（EV）.This paper studies on the model predictive control（MPC） based controller design of battery integrated modular multilevel converter（B-MMC）.Aiming at the goal of three-phase current tracking and battery balancing control of B-MMC,three-layer controllers are designed.The first controller is the finite control set model predictive control（FCS-MPC）,which realizes the motor drive by tracking the phase current.The second controller is the circulation controller for the active balance control of battery.It is composed of multiple proportional controllers to realize the battery balance between the bridge arms.The third controller is the battery sorting algorithm to achieve the passive balance control of the battery in the same bridge arm.At the same time,field programmable gate array（FPGA） is used to accelerate the controller to meet the real-time requirements of B-MMC.Finally,the simulation results of the B-MMC control system validates the effectiveness of the control algorithm.

关键词： Electric Vehicle Battery Integrated Modular Multilevel Converter finite control set model predictive control Field Programmable Gate Array

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