Journal of System Simulation ›› 2022, Vol. 34 ›› Issue (8): 1741-1749.doi: 10.16182/j.issn1004731x.joss.22-0284
• Modeling Theory and Methodology • Previous Articles Next Articles
Yue Xu1(
), Li Jia1(
), Xuanyi Fu2
Received:2022-03-29
Revised:2022-05-07
Online:2022-08-30
Published:2022-08-15
Contact:
Li Jia
E-mail:xu_yue0813@163.com;jiali@staff.shu.edu.cn
CLC Number:
Yue Xu, Li Jia, Xuanyi Fu. Variable Pitch Control of Wind Power Generation System Based on Wiener Model[J]. Journal of System Simulation, 2022, 34(8): 1741-1749.
Table 1
NREL offshore 5MW benchmark wind turbine model parameters
| 主要参数 | 量值 |
|---|---|
| 额定功率/MW | 5 |
| 切入、额定、切出风速/(m/s) | 3、 11.4、 25 |
| 切入、额定转子速度/(r/min) | 6.9、 12.1 |
| 固有频率 | 0.88 |
| 桨距角机构阻尼系数 | 0.1 |
| 齿轮箱传动比 | 97 |
| 风机转动惯量 | 38 768 000 |
| 发电机转动惯量 | 534.116 |
| 刚度系数 | 867 636 000 |
| 传动系统阻尼系数 | 6 215 000 |
| 发电机时间常数 | 0.1 |
| 空气密度 | 1.225 |
| 风轮半径 | 63 |
| 发电机效率 | 94.4 |
| 1 | 苑晨阳, 李静, 陈健云, 等. 大型风电机组变桨距ABC-PID控制研究[J]. 太阳能学报, 2019, 40(10): 3002-3008. |
| Yuan Chenyang, Li Jing, Chen Jianyun, et al. Research on ABC-PID Pitch Control of Large-Scale Wind Turbines[J]. Acta Energiae Solaris Sinica, 2019, 40(10): 3002-3008. | |
| 2 | 崔天依, 褚孝国. 大转动惯量风电机组变桨控制技术研究[J]. 热力发电, 2020, 49(1): 55-62. |
| Cui Tianyi, Chu Xiaoguo. Research on Pitch Control Technology of Large Moment of Inertia Wind Turbines [J]. Thermal Power Generation, 2020, 49(1): 55-62. | |
| 3 | 田猛, 张波文, 周腊吾, 等. 基于RBF神经网络滑模变结构独立变桨控制研究[J]. 电力系统保护与控制, 2019, 47(4): 107-114. |
| Tian Meng, Zhang Bowen, Zhou Lawu, et al. Research on Independent Pitch Control of Sliding Mode Variable Structure Based on RBF Neural Network[J]. Power System Protection and Control, 2019, 47(4): 107-114. | |
| 4 | 张真源, 刘国荣, 杨小亮, 等. 基于RBF神经网络的参数自适应PID变桨控制器的设计[J]. 电力系统及其自动化学报, 2020, 32(5): 16-23. |
| Zhang Zhenyuan, Liu Guorong, Yang Xiaoliang, et al. Design of RBF Neural Network Based Parameter Adaptive PID Pitch Controller[J]. Proceedings of the CSU-EPSA, 2020, 32(5): 16-23. | |
| 5 | 殷绪强, 赵彬, 孟宏. 基于迭代自适应方法的风机变桨系统优化控制[J]. 节能, 2021, 40(6): 28-30. |
| Yin Xuqiang, Zhao Bin, Meng Hong. Optimal Control of Wind Turbine Pitch System Based on Iterative Adaptive Method[J]. Energy Conservation, 2021, 40(6): 28-30. | |
| 6 | 王乐, 蔺红. 减载风电机组协调控制策略及PI参数优化[J]. 控制工程, 2021, 28(4): 744-750. |
| Wang Le, Lin Hong. Coordinated Control Strategy and PI Parameter Optimization of Load Shedding Wind Turbines[J]. Control Engineering of China, 2021, 28(4): 744-750. | |
| 7 | 于国强, 谢振华, 张天海, 等. 参与电网调频的风电机组线性变参数变桨控制策略[J]. 热能动力工程, 2021, 36(5): 119-125. |
| Yu Guoqiang, Xie Zhenhua, Zhang Tianhai, et al. Linear Parameter Varying-based Pitch Control Strategy for Wind Turbines Participating in Power Grid Frequency Regulation [J]. Journal of Engineering for Thermal Energy and Power, 2021, 36(5): 119-125. | |
| 8 | 郭鹏. 模糊前馈与模糊PID结合的风力发电机组变桨距控制[J]. 中国电机工程学报, 2010, 30(8): 123-128. |
| Guo Peng. Variable Pitch Control of Wind Turbine Generator Combined with Fuzzy Feed Forward and Fuzzy PID Controller [J]. Proceedings of the CSEE, 2010, 30(8): 123-128. | |
| 9 | 李飞飞. 基于双模糊PID控制策略的风力发电机组变桨系统研究[J]. 模糊系统与数学, 2019, 33(3): 29-34. |
| Li Feifei. Pitch System of the Wind Turbines Based on the Double Fuzzy PID Control Strategy[J]. Fuzzy Systems and Mathematics, 2019, 33(3): 29-34. | |
| 10 | Liu W, Na W, Zhu L, et al. A Wiener-Type Dynamic Neural Network Approach to the Modeling of Nonlinear Microwave Devices[J]. IEEE Transactions on Microwave Theory and Techniques (S0018-9480), 2017, 65(6): 2043-2062. |
| 11 | 吴倩. 风电场的分布式经济模型预测控制[D]. 北京: 华北电力大学, 2020. |
| Wu Qian. Distributed Economic Model Predictive Control of Wind Farms [D]. Beijing: North China Electric Power University, 2020. | |
| 12 | 周志超, 王成山, 郭力, 等. 变速变桨距风电机组的全风速限功率优化控制[J]. 中国电机工程学报, 2015, 35(8): 1837-1844. |
| Zhou Zhichao, Wang Chengshan, Guo Li, et al. Output Power Curtailment Control of Variable-Speed Variable-Pitch Wind Turbine Generator at All Wind Speed Regions[J]. Proceedings of the CSEE, 2015, 35(8): 1837-1844. | |
| 13 | Jonkman J, Butterfield S, Musial W, et al. Definition of a 5-MW Reference Wind Turbine for Offshore System Development[R]. Golden, CO (United States): National Renewable Energy Laboratory, 2009. |
| 14 | Xu Y, Jia L, Yang W. Correlation Based Neuro-Fuzzy Wiener Type Wind Power Forecasting Model by Using Special Separate Signals[J]. Energy Conversion and Management (S0196-8904), 2022, 253: 115173. |
| 15 | Jia Li, Xiong Qi, Li Feng. Correlation Analysis Method Based Siso Neuro-Fuzzy Wiener Model[J]. Journal of Process Control (S0959-1524), 2017, 58: 73-89. |
| 16 | 贾立, 杨爱华, 邱铭森. 含过程噪声的Hammerstein- Wiener神经模糊模型多信号源辨识[J]. 上海交通大学学报, 2016, 50(6): 884-890. |
| Jia Li, Yang Aihua, Qiu Mingsen. Multi-Signal Identification of Hammerstein-Wiener Models Based on Bias Compensation Recursive Least Squares[J]. Journal of Shanghai Jiaotong University, 2016, 50(6): 884-890. |
| [1] | Yin Shi, Hou Guolian, Chi Yan, Gong Linjuan, Hu Xiaodong. Prediction Method for Health Degree of Front Bearing of Wind Turbine Generator and Implementation [J]. Journal of System Simulation, 2021, 33(6): 1323-1333. |
| [2] | Wu Dinghui, Zhu Zhichao, Han Xinhong. Fault Detection of Wind Turbine Bearing Based on BO-SDAE Multi-source Signal [J]. Journal of System Simulation, 2021, 33(5): 1148-1156. |
| [3] | Zhang Kunping, Hao Lin. Frequency Coordinated Control Strategy of Microgrid Based on Fuzzy Prediction [J]. Journal of System Simulation, 2021, 33(3): 581-590. |
| [4] | Wei Le, Hu Xiaodong, Yin Shi. Optimized-XGBoost Early Warning of Wind Turbine Generator Front Bearing Fault [J]. Journal of System Simulation, 2021, 33(10): 2335-2343. |
| [5] | Zheng Yang, Wu Dinghui, Ji Zhicheng. LPV Controller Design of Wind Turbine with Maximum Power Point Tracking [J]. Journal of System Simulation, 2019, 31(5): 955-962. |
| [6] | Dong Xinghui, Ma Xiaoshuang, Cheng Youxing, Wang Shuai. Modeling and Simulation of Health Degradation Trend for Wind Turbine Bearing [J]. Journal of System Simulation, 2019, 31(1): 151-158. |
| [7] | Li Dazhong, Wu Feng. A MPPT Control Method of Wind Turbines with Nonsingular and Fast Terminal Sliding Mode [J]. Journal of System Simulation, 2018, 30(3): 1109-1117. |
| [8] | Song Zhongyue, Zhen Dong, Zhang Hao, Shi Zhanqun, Ma Jiaojiao. Research on Wind Turbine Test System Based on JointSimulation [J]. Journal of System Simulation, 2018, 30(2): 740-746. |
| [9] | Li Dazhong, Chang Cheng, Xu Bingkun. Wind Turbine Gearing Temperature Prediction Based on Sample Optimization [J]. Journal of System Simulation, 2017, 29(2): 374-380. |
| [10] | Zhang Xiaolin, Wu Dinghui, Song Jin, Ji Zhicheng. LPV Controller Design of Wind Turbine Based on Double-Layer Convex Polyhedron [J]. Journal of System Simulation, 2017, 29(1): 218-225. |
| [11] | Gao Feng, Wang Wei, Ling Xinmei. Parameters Optimization for Variable Speed and Pitch Controller of Wind Turbine Based on Bladed [J]. Journal of System Simulation, 2016, 28(7): 1644-1651. |
| [12] | Wang Dan, Liu Chongru, Li Gengyin. Simulation Study of Grid-side Improved Control Strategy for Direct-driven Wind Turbine Under Unbalanced Faults [J]. Journal of System Simulation, 2016, 28(5): 1131-1139. |
| [13] | Fu Xiucong, Liang Xiaoting, Ou Baoxing, Wu Chili, Zhao Ruheng, Li Yuepeng, Pi Kaihong, Xiao Shuai. Numerical Simulation Study of Impact of Stagger Angle and Radius Ratio on Performance of Combined Type VAWT [J]. Journal of System Simulation, 2016, 28(12): 2951-2958. |
| [14] | Gao Feng, Yang Xiyun, Wang Wei, Zhang Lei. Nacelle Wind Speed Correction of Wind Turbine Generation Units Based on Wind Speed Measured by Anemometer Tower [J]. Journal of System Simulation, 2016, 28(11): 2790-2797. |
| [15] | Xu Xiaoping, Bai Bo, Qian Fucai. Identification of Wiener Model Based on Improved Differential Evolution (SADE) Algorithm [J]. Journal of System Simulation, 2016, 28(1): 147-153. |
| Viewed | ||||||
|
Full text |
|
|||||
|
Abstract |
|
|||||