T型三电平并网逆变器有限集模型预测控制快速寻优方法

doi:10.19595/j.cnki.1000-6753.tces.200083

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (5887 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract Rolling optimization of Finite Control Set model predictive control (Finite Control Set-MPC, FCS-MPC) needs to traverse all the switch states in the three-level converter control system, which will cause the problems of increased processor calculation and long processing time. For this reason, this paper proposes a FCS-MPC method with optimized calculation amount of T-type three-level grid-connected inverter. By constructing a single objective cost function based on voltage prediction, the design of weighting factor is avoided and the steps of single optimization are reduced. For improving the efficiency of optimization, the redundant small vector is selected according to the DC bus potential distribution to balance the neutral-point potential and reduce the number of predictions per control cycle to 3 times. The finite control set is divided according to the minimum weighted error square of the included vectors in the prediction process, and the vector angle is used to compensate the system delay, thereby improving the prediction accuracy and the grid-connected current quality. A power hardware-in-the-loop simulation system based on RT-Lab and a physical device are established to verify the proposed control strategy. The results show that the proposed theoretical analysis is correct and the control strategy is effective.

Key words： Finite control set model predictive control T-type three-level balance of neutral-point potential fast optimization

Received: 20 January 2020

PACS:

TM464

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Xin Yechun
	Wang Yanxu
	Li Guoqing
	Wang Chaobin
	Wang Wei

Cite this article:

Xin Yechun,Wang Yanxu,Li Guoqing等. Finite Control Set Model Predictive Control Method with Fast Optimization Based on T-Type Three-Level Grid-Connected Inverter[J]. Transactions of China Electrotechnical Society, 2021, 36(8): 1681-1692.

URL:

https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.200083 OR https://dgjsxb.ces-transaction.com/EN/Y2021/V36/I8/1681

[1] Geyer T.大功率变换器及工业传动模型预测控制[M]. 张永昌, 宋文祥, 徐伟, 译. 北京: 机械工业出版社, 2019.
[2] 杨勇, 谢门喜, 樊明迪, 等. T 型三电平单相逆变器有限开关状态模型预测控制方法[J]. 电机与控制学报, 2019, 23(3): 120-126.
Yang Yong, Xie Menxi, Fan Mingdi, et al.Finite switching state model predictive control for T-type three-level single-phase inverters[J]. Electric Machines and Control, 2019, 23(3): 120-126.
[3] 张晓, 谭力, 鲜嘉恒, 等. LCL并网逆变器预测电流控制算法[J]. 电工技术学报, 2019, 34(增刊1) : 189-201.
Zhang Xiao, Tan Li, Xian Jiaheng, et al.Predictive current control algorithm for grid-connected inverter with LCL filter[J]. Transactions of China Electro- technical Society, 2019, 34(S1): 189-201.
[4] Shen Kun, Feng Jianghua, Zhang Jing.Finite control set model predictive control with feedback correction for power converters[J]. CES Transactions on Elec- trical Machines and Systems, 2018, 2(3): 312-319.
[5] Li Yu, Zhang Zhenbin, Li Kejun, et al.Predictive current control for voltage source inverters con- sidering dead-time effect[J]. CES Transactions on Electrical Machines and Systems, 2020, 4(1): 35-42.
[6] Rodriguez J, Kazmierkowski M, Espinoza J, et al.State of the art of finite control set model predictive control in power electronics[J]. IEEE Transactions on Industrial Informatics, 2013, 9(2): 1003-1016.
[7] 柳志飞, 杜贵平, 杜发达. 有限集模型预测控制在电力电子系统中的研究现状和发展趋势[J]. 电工技术学报, 2017, 32(22): 58-69.
Liu Zhifei, Du Guiping, Du Fada.Research status and development trend of finite control set model predi- ctive control in power electronics[J]. Transactions of China Electrotechnical Society, 2017, 32(22): 58-69.
[8] 金涛, 沈学宇, 苏泰新, 等. 不平衡电网下并网逆变器的模型预测电流限幅灵活控制[J]. 电工技术学报, 2019, 34(11): 2342-2353.
Jin Tao, Shen Xueyu, Su Taixin, et al.Flexible model predictive control with peak current limitation for grid-connected inverter under unbalanced grid voltage[J]. Transactions of China Electrotechnical Society, 2019, 34(11): 2342-2353.
[9] 谢之光, 侯世英, 唐治德, 等. NPC三电平逆变器最优化虚拟电压矢量控制[J]. 电力系统自动化, 2017, 41(8): 95-102.
Xie Zhiguang, Hou Shiying, Tang Zhide, et al.Optimized virtual voltage vector control of NPC three-level inverter[J]. Automation of Electric Power Systems, 2017, 41(8): 95-102.
[10] Geyer T, Quevedo D E.Multistep finite control set model predictive control for power electronics[J]. IEEE Transactions on Power Electronics, 2015, 30(3): 1633-1644.
[11] Tarisciotti L, Zanchetta P, Watson A, et al.Modulated model predictive control for a three-phase active rectifier[J]. IEEE Transactions on Industry Appli- cations, 2015, 51(2): 1610-1620.
[12] Tarisciotti L, Formentini A, Gaeta A, et al.Model predictive control for shunt active filters with fixed switching frequency[J]. IEEE Transactions on Industry Applications, 2017, 53(1): 296-304.
[13] Donoso F, Mora A, Cárdenas R, et al.Finite-set model predictive control strategies for a 3L-NPC inverter operating with fixed switching frequency[J]. IEEE Transactions on Industrial Electronics, 2018, 65(5): 3954-3965.
[14] Yang Guoliang, Hao Shuai, Fu Chuntian, et al.Model predictive direct power control based on improved T-type grid-connected inverter[J]. IEEE Journal of Emerging and Selected Topics in Power Electronics, 2019, 7(1): 252-260.
[15] Bonala A K, Sandepudi S S, Muddineni V P.Selective finite-states model predictive control of grid interfaced 3L-NPC PV inverter for inherent capacitor voltage balancing[J]. IET Power Electronics, 2018, 11(13): 2072-2080.
[16] Barros J Dionísio, Silva J F A, Jesus Élvio G A. Fast-predictive optimal control of NPC multilevel converters[J]. IEEE Transactions on Industrial Elec- tronics, 2013, 60(2): 619-627.
[17] 张永昌, 杨海涛, 魏香龙. 基于快速矢量选择的永磁同步电机模型预测控制[J]. 电工技术学报, 2016, 31(6): 66-72.
Zhang Yongchang, Yang Haitao, Wei Xianglong.Model control of permanent magnet synchronous motors based on fast vector selection[J]. Transactions of China Electrotechnical Society, 2016, 31(6): 66-72.
[18] 杨勇, 樊明迪, 谢门喜, 等. 三电平三相逆变器快速有限控制集模型预测控制方法[J]. 电机与控制学报, 2016, 20(8): 83-91.
Yang Yong, Fan Mingdi, Xie Menxi, et al.Fast finite control set model predictive control method for three-level three-phase inverters[J]. Electric Machines and Control, 2016, 20(8): 83-91.
[19] 王洋, 程志江, 李永东. 三电平并网变换器的模型预测控制[J]. 电力系统及其自动化学报, 2018, 30(10): 34-41.
Wang Yang, Cheng Zhijiang, Li Yongdong, et al.Model predictive control of three-level grid- connected converter[J]. Proceedings of the CSU- EPSA, 2018, 30(10): 34-41.
[20] Yang Yong, Wen Huiqing, Fan Mingdi, et al.A fast finite-switching-state model predictive control method without weighting factors for T-type three-level three- phase inverters[J]. IEEE Transactions on Industrial Informatics, 2019, 15(3): 1298-1310.
[21] 任碧莹, 孙向东, 余马晶, 等. T型三电平逆变器的并网电流D-<inline-graphic xlink:href="-36-8-1681/img_1.wmf"/>数字控制算法[J]. 电工技术学报, 2019, 34(8): 1708-1717.