大型风电机组机组层AGC控制策略研究
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(1.河海大学能源与电气学院,江苏 南京 211100;2.河南省电力勘测设计院,河南 郑州 450007; 3.丹麦科技大学风能系,Lyngby DK-2800;4.南京南瑞集团公司,江苏 南京 210003)

作者简介:

许 昌(1972-),男,通信作者,教授,从事风电场空气动力学和优化控制方面的教学与研究;E-mail:zhuifengxu @163.com
魏 媛(1990-),女,硕士研究生,研究方向为风功率预测与风电机组控制。E-mail:weiyuan3656@163.com

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基金项目:

中丹国际科技合作专项项目(2014DFG62530);国网南瑞科技项目(SGTYHT/14-JS-188);南通市科技项目(BK 2014028)


Research on automatic generation turbine control strategy of large wind turbine
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(1. College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China;2. Henan Electric Power Survey and Design Institute, Zhengzhou 450007, China;3. Department of Wind Energy, Technical University of Denmark, Lyngby DK-2800, Denmark;4. Nanjing Nari Group Corporation, Nanjing 210003, China)

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    摘要:

    针对传统控制策略下的风电机组输出波动性大、随机性强,需其他设备协调风电场出力的缺点,提出一种机组层WT-AGC控制策略,并对该控制策略的工作原理进行了详细的分析。在考虑风电机组运行状态及风电场调度要求的基础上,将WT-AGC策略下机组运行方式分为2种:调度指令高于机组最大出力能力的常规运行和调度指令低于机组最大出力能力的限功率运行。通过风电机组转速调节和变桨距机构动作配合,实现风电机组输出稳定,满足风电场调度要求,并对某实际双馈风电机组进行了仿真。结果表明该控制策略不但可以实现风电机组的可调度输出,而且提高风电机组并网后的功率稳定性,验证了所提策略的正确性。

    Abstract:

    Wind turbine output has characters of large volatility and strong randomness, and needs other equipment to coordinate under the traditional control strategies. The paper proposes and analyzes the working principle of a unit layer WT-AGC control strategy in detail. Considering operating state of wind turbine and requirements of wind farms, unit operating modes are divided into two ones under WT-AGC control strategy, which include the traditional operation of order higher than the maximum capacity and limited power operation of order below the maximum capacity of the unit. Through controlling the rotating speed of wind turbine and pitch-regulated mechanism, the steady output of wind turbine is achieved to meet the scheduling requirements of wind farms, which has been simulated by a real double-fed wind turbine. The results show the WT-AGC control strategy not only achieves output scheduleability of wind turbine, but also improves stability of wind power integration, which verify the validity of proposed strategy. This work is supported by the International Cooperation of Science and Technology Special Project (No. 2014DFG62530), State Grid NARI Technology Projects (the Wind Generator Intelligent Control) (No. SGTYHT/14-JS-188), and Science and Technology Project of Nantong City (No. BK2014028).

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许昌,魏媛,李涛,等.大型风电机组机组层AGC控制策略研究[J].电力系统保护与控制,2017,45(2):69-74.[XU Chang, WEI Yuan, LI Tao, et al. Research on automatic generation turbine control strategy of large wind turbine[J]. Power System Protection and Control,2017,V45(2):69-74]

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  • 收稿日期:2016-01-27
  • 最后修改日期:2016-07-18
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  • 在线发布日期: 2017-01-20
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