Optimal Control Strategy of Quick Response of Large Direct-Drive Wind Turbine

doi:10.11930/j.issn.1004-9649.201606039

Electric Power ›› 2017, Vol. 50 ›› Issue (9): 165-170.DOI: 10.11930/j.issn.1004-9649.201606039

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Optimal Control Strategy of Quick Response of Large Direct-Drive Wind Turbine

MENG Jie¹, PAN Qiaobo^{1, 2}, GAO Qingshui², DENG Xiaowen²

1. School of Automation Engineering, Northeast Electric Power University, Jilin 132012, China;
2. Electric Power Research Institute of Guangdong Power Grid Co., Ltd., Guangzhou 510080, China

Received:2016-09-23 Online:2017-09-25 Published:2017-09-11
Supported by:
This work is supported by the National Key Technology Support Program (No.2015BAA06B02) and the PHD Research Launch Funds Project of Northeast Electric Power University (No.BSJXM-11292)

Abstract

Abstract: Because of large system inertia in high capacity wind power turbines, it is difficult to respond quickly to controls. Based on wind turbine characteristics and PMSM mathematical model, a non-linear affine model is established for wind power system. A system speed control strategy is proposed by using differential geometry principle and feedback linearization theory. A load torque forward compensation method is introduced to form a rapid response control strategy with easy physical implementation. Compared with traditional vector control stagey and voltage decoupled forward compensation strategy, the simulation results show the effectiveness of proposed method in large capacity wind turbine quick control response.

Key words: large scale direct drive wind turbine, feedback linearization, MPPT, large inertia load, torque feedforward

CLC Number:

TM614

MENG Jie, PAN Qiaobo, GAO Qingshui, DENG Xiaowen. Optimal Control Strategy of Quick Response of Large Direct-Drive Wind Turbine[J]. Electric Power, 2017, 50(9): 165-170.

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References

[1] 王长路,王伟功,张立勇,等. 中国风电产业发展分析[J]. 重庆大学学报,2015,38（1）：148-154.
WANG Changlu, WANG Weigong, ZHANG Liyong, et al . The analysis of China wind power industry[J]. Journal of Chongqing University, 2015, 38(1): 148-154.
[2] 崔杨,严干贵,李鸿博. 联网运行风力发电系统的动态建模方法综述[J]. 东北电力大学学报,2012,32（6）：1-9.
CUI Yang, YAN Gangui, LI Hongbo. Review of interconnected wind power system dynamic modeling[J]. Journal of Northeast Dianli University, 2012, 32(6): 1-9.
[3] 廖志刚,何世恩,董新洲,等. 提高大规模风电接纳及送出的系统保护研究[J]. 电力系统保护与控制,2015,43（22）：41-46.
LIAO Zhigang, HE Shien, DONG Xinzhou, et al . Research on the system protection for enhancing the accommodation and transmission of large scale wind power[J]. Power System Protection and Control, 2015, 43(22): 41-46.
[4] 蒋文韬,付立军,王刚,等. 提高大规模风电接纳及送出的系统保护研究[J]. 电力系统保护与控制,2015,43（11）：34-40.
JIANG Wentao, FU Lijun, WANG Gang, et al . Impact of direct- drive permanent magnet wind turbines virtual inertia control on power system small signal stability analysis[J]. Power System Protection and Control, 2015, 43(11): 34-40.
[5] 梁立哲,姚兴佳,郭庆鼎. 基于负载观测的最大风能跟踪控制[J]. 计算机仿真,2013,30（6）：316-319.
LIANG Lizhe, YAO Xingjia, GUO Qingding. Maximal wind energy tracing control based on load observation[J]. Computer Simulation, 2013, 30(6): 316-319.
[6] 刘波,潘巧波. 大型直驱风电机组快速响应控制策略[J]. 电机与控制应用,2015,42（11）：62-66.
LIU Bo, PAN Qiaobo. Large direct-drive wind power system to quickly respond to control strategy[J]. Electric Machines & Control Application, 2015, 42(11): 62-66.
[7] 宋晓晶. 永磁同步电动机反馈线性化控制系统研究[D]. 天津：天津大学,2008.
SONG Xiaojing. Investigation of feedback linearization control system for permanent magnet synchronous motor[D]. Tianjin: Tianjin University, 2008.
[8] 席云,李啸骢,鹿建成,等. 直驱永磁风力发电系统非线性控制策略[J]. 电气开关,2015,53（3）：15-20.
XI Yun, LI Xiaocong, LU Jiancheng, et al . Nonlinear control strategy of direct-drive permanent magnet wind power system [J]. Electric Switchgear, 2015, 53(3): 15-20.
[9] 刘其辉,贺益康,赵仁德. 基于直流电动机的风力机特性模拟[J]. 中国电机工程学报,2006,26（7）：134-139.
LIU Qihui, HE Yikang, ZHAO Rende. Imitation of the characteristic of wind turbine based on DC motor [J]. Proceedings of the CSEE, 2006, 26(7): 134-139.
[10] 耿华,杨耕,周伟松. 考虑风机动态的最大风能捕获策略[J]. 电力自动化设备,2009,29（10）：107-111.
GENG Hua, YANG Geng, ZHOU Weisong. MPPT strategy considering wind turbine dynamics [J]. Electric Power Automation Equipment, 2009, 29(10): 107-111.
[11] 管维亚,吴峰,鞠平. 直驱永磁风力发电系统仿真与优化控制[J]. 电力系统保护与控制,2014,42（9）：54-60.
GUAN Weiya, WU Feng, JU Ping. Simulation and optimized control of direct-drive permanent magnet wind power system [J]. Power System Protection and Control, 2014, 42(9): 54-60.
[12] NGUYEN H M, NAIDU D S. Fuzzy adaptive output feedback control strategy for standalone wind energy conversion systems [C]// 11th IEEE International Conference on Control & Automation(ICCA). Taichung, Taiwan: IEEE, 2014: 1007-1012.

Optimal Control Strategy of Quick Response of Large Direct-Drive Wind Turbine

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