Nonlinear Adaptive Control of Doubly-fed Induction Generator for Variable Speed Wind Turbine

变速风力机双馈感应发电机非线性自适应控制

• 批准号: EP/J014249/1
• 负责人: Lin Jiang
• 金额: $ 23.03万
• 依托单位: University of Liverpool
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2012
• 资助国家: 英国
• 起止时间: 2012 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FJ014249%2F1
• 关键词: Nonlinear; Adaptive; Control; Doubly; fed

Doubly-fed induction generator wind turbines (DFIG-WTs) have been widely adopted by the current wind power generation systems (WPGSs) due to their cost-effective provision of a high efficiency energy conversion via variable speed operation. Most of the installed DFIG-WTs utilise vector control (VC) for the power control of DFIG. To cope with the increasing demand of integrating the large capacity of wind power into the current power grid, grid operators require that the WPGSs should ride through grid faults and support grid stability. However, VCs are not capable of providing satisfied fault ride-through capability as they are mainly derived based on the steady-state operation of the DFIG. On the other hand, the time-varying nonlinearities and disturbances existing in the DFIG-WTs are needed to be tackled so as to improve the energy conversion efficiency. This proposal will investigate an advanced nonlinear adaptive control algorithm for the DFIG-WT to improve the energy conversion efficiency, the fault-ride through capability and the support of grid stability. The proposed controller will adaptively compensate unknown and time-varying disturbances such as intermittent wind power inputs, the nonlinear dynamics of the DFIG-WT and the power grid. Without relying on an accurate system model, the developed controller will have a relative simpler control algorithm compared to other advanced control methods and can be implemented based on the current hardware used by the vector control method. Due to the wide usage of the DFIG-WTs in the current WPGSs and in the fast growing offshore wind farms, designing a novel controller and upgrading the current used VCs will have great practical importances and help the integration of large capacity of wind power into power grid.

当前风力发电系统（WPGSS）广泛采用了双喂养的感应发电机风力涡轮机（DFIG-WTS），因为它们通过可变速度操作提供了高效率转化的成本效益。大多数已安装的DFIG-WTS都利用向量控制（VC）进行DFIG的功率控制。为了应对将大型风能集成到当前电网中的不断增长的需求，网格操作员要求WPGS应乘坐网格故障并支持网格稳定性。但是，VC无法提供满足的故障乘车能力，因为它们主要是根据DFIG的稳态操作得出的。另一方面，需要解决DFIG-WT中存在的时变非线性和干扰，以提高能量转换效率。该建议将研究DFIG-WT的高级非线性自适应控制算法，以提高能量转换效率，通过能力和网格稳定性的支持。所提出的控制器将适应补偿未知和随时间变化的干扰，例如间歇性风能输入，DFIG-WT的非线性动力学和功率网格。在不依赖精确的系统模型的情况下，开发的控制器将具有与其他高级控制方法相比的相对简单控制算法，并且可以根据矢量控制方法使用的当前硬件来实现。由于DFIG-WT在当前的WPGS中以及在快速增长的海上风电场中的广泛使用，设计新型控制器并升级当前使用的VC将具有很大的实际重要性，并有助于将大型风能的能力整合到电网中。

项目成果

Nonlinear PI control for variable pitch wind turbine

• DOI: 10.1016/j.conengprac.2016.02.004
• 发表时间: 2016-05
• 期刊: Control Engineering Practice
• 影响因子: 4.9
• 作者: Yaxing Ren;Liuying Li;J. Brindley;Lin Jiang

Perturbation Estimation Based Nonlinear Adaptive Control of a Full-Rated Converter Wind Turbine for Fault Ride-Through Capability Enhancement

• DOI: 10.1109/tpwrs.2014.2313813
• 发表时间: 2014-04
• 期刊: IEEE Transactions on Power Systems
• 影响因子: 6.6
• 作者: Jing Chen;L. Jiang;W. Yao;Q. Wu

Nonlinear adaptive power control for DFIG-based wind turbine under unbalanced network conditions

• DOI: 10.1109/ipemc.2016.7512513
• 发表时间: 2016-05
• 期刊: 2016 IEEE 8th International Power Electronics and Motion Control Conference (IPEMC-ECCE Asia)
• 作者: K. Shi;Chuan‐Ke Zhang;Xin Zhou;Lin Jiang

SSR analysis of DFIG based wind farm considering spatial distribution of wind speed

• DOI: 10.1109/pesgm.2016.7741740
• 发表时间: 2016-07
• 期刊: 2016 IEEE Power and Energy Society General Meeting (PESGM)
• 作者: J. Ma;L. Jiang;M. Wu;C. Zhang;F. Liu

A feedback linearization control strategy for maximum power point tracking of a PMSG based wind turbine

• DOI: 10.1109/icrera.2013.6749730
• 发表时间: 2013-10
• 期刊: 2013 International Conference on Renewable Energy Research and Applications (ICRERA)
• 作者: Jing Chen;L. Jiang;W. Yao;Q. Wu