为提高双馈感应发电机(DFIG)直接功率控制的鲁棒性和抗干扰能力,提出一种改进型超螺旋滑模(STSMC)的直接功率控制(DPC)。首先,建立参数摄动下的DFIG最大功率捕获模型和定子磁场定向的双馈感应发电机模型;然后,将非奇异快速终端滑模面(NFTSM)与一种改进型超螺旋(Super-twisting)优化算法结合,设计DFIG直接功率控制器(IST-NFTSMC)。其中所设计的非奇异滑模面能有效避免传统滑模控制(SMC)的奇异现象,且改进超螺旋控制律能有效削弱NFTSMC抖振,提高功率控制精度;最后,通过仿真和实验,与PI控制和传统SMC控制相比,该控制能削弱DFIG功率与电流抖振问题,加快其收敛速度,提高DFIG直接功率控制稳态精度。
Abstract
A improved Super-twistingl sliding mode (STSMC) direct power control (DPC) is presented to improve the robustness and immunity to interference of the direct power control of a Doubly-fed induction generator (DFIG). Firstly, the Doubly-fed induction generator model with stator field orientation and the DFIG maximum power capture model under parametric regimes are created; Following that, the Non-singular fast terminal sliding mode surface (NFTSM) and an enhanced Super-twisting optimization method are combined to create the DFIG direct power controller (IST-NFTSMC). They include the developed Non-singular sliding mode surface, which can successfully avoid the singularity phenomena of conventional sliding mode control (SMC), and the improved Super-twisting control law, which can successfully reduce the jitter of the NFTSMC and increase the accuracy of the power control; Finally, through simulation and experiment, it is found that compared to the PI control and the conventional sliding mode control, the IST-NFTSMC may reduce the DFIG power and current jitter problem, speed up its convergence, and increase the steady state accuracy of the DFIG direct power management through simulation and experimentation.
关键词
双馈感应发电机 /
直接功率控制 /
超螺旋滑模控制 /
定子磁场定向
Key words
doubly-fed induction generator /
direct power control /
super twisting sliding mode control /
stator field oriented
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参考文献
[1] 邵昊舒, 王磊, 蔡旭. 提高双馈风电机组LVRT能力的改进直接功率控制[J]. 电力自动化设备, 2019, 39(7): 15-22.
SHAO H S, WANG L, CAI X.Modified direct power control for improving LVRT ability of doubly fed induction generator[J]. Electric power automation equipment, 2019, 39(7): 15-22.
[2] 于淼, 汤亚芳, 黄亦欣, 等. 双馈风机控制方式对继电保护影响的研究[J]. 电力系统保护与控制, 2020, 48(2): 180-187.
YU M, TANG Y F, HUANG Y X, et al.Research on the influence of control mode of DFIG on relay protection[J]. Power system protection and control, 2020, 48(2): 180-187.
[3] 凌禹. 改进的双馈风电机组故障穿越控制策略研究[J]. 太阳能学报, 2022, 43(12): 312-319.
LING Y.Research on an improved fault ride through control strategy of DFIG-based wind turbine[J]. Acta energiae solaris sinica, 2022, 43(12): 312-319.
[4] KADRI A, MARZOUGUI H, AOUITI A, et al.Energy management and control strategy for a DFIG wind turbine/fuel cell hybrid system with super capacitor storage system[J]. Energy, 2020, 192: 116518.
[5] TAMALOUZT S, BELKHIER Y, SAHRI Y, et al.Enhanced direct reactive power control-based multi-level inverter for DFIG wind system under variable speeds[J]. Sustainability, 2021, 13(16): 9060.
[6] GUI Y H, WANG X F, BLAABJERG F, et al.Control of grid-connected voltage-source converters: the relationship between direct-power control and vector-current control[J]. IEEE industrial electronics magazine, 2019, 13(2): 31-40.
[7] 管萍, 王一博. 双馈发电机的二阶滑模控制技术[J]. 电力电子技术, 2019, 53(6): 76-79.
GUAN P, WANG Y B.Second-order sliding mode control of doubly fed induction generator[J]. Power electronics, 2019, 53(6): 76-79.
[8] BENBOUHENNI H, BOUDJEMA Z, BELAIDI A.DPC based on ANFIS super-twisting sliding mode algorithm of a doubly-fed induction generator for wind energy system[J]. Journal Européen des systèmes automatisés, 2020, 53(1): 69-80.
[9] BENBOUHENNI H, BOUDJEMA Z, BELAIDI A.Direct power control with NSTSM algorithm for DFIG using SVPWM technique[J]. Iranian journal of electrical & electronic engineering, 2021, 17(1): 233623707.
[10] CHOJAA H, DEROUICH A, CHEHAIDIA S E, et al.Integral sliding mode control for DFIG based WECS with MPPT based on artificial neural network under a real wind profile[J]. Energy reports, 2021, 7: 4809-4824.
[11] YAICHI I, SEMMAH A, WIRA P, et al.Super-twisting sliding mode control of a doubly-fed induction generator based on the SVM strategy[J]. Periodica polytechnica electrical engineering and computer science, 2019, 63(3): 178-190.