大风电机组变桨用超级电容模组健康状态在线监测方法研究
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(1.湖南大学电气与信息工程学院,湖南 长沙 410082;2.湖南世优电气股份有限公司,湖南 湘潭 411133)

作者简介:

石 建(1991-),男,硕士,主要研究方向为检测技术与自动化装置;E-mail:120631468@qq.com
周腊吾(1964-),男,教授,博士生导师,主要从事电机及其控制方向的研究。

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国家自然科学基金青年科学基金项目(51207048)


Online monitoring method of health state of ultracapacitor for wind turbine pitching
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(1. College of Electrical and Information Engineering, Hunan University, Changsha 410082, China;
;2. Hunan Shiyou Electric Public Co., Ltd., Xiangtan 411133, China)

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    摘要:

    随着风电机组安全运行问题日益受到重视,风电机组变桨用超级电容模组的可靠性变的越来越重要。为了实时监测超级电容模组健康状态保证模组可靠性,提出了一种在线监测模组健康状态的方法。该方法在主控系统中编程测量在开路电压法与电流积分法两种测量方法下风电机组掉电低电压穿越和顺桨时超级电容模组放电电荷量,然后根据两种方法估算的电荷量差值与模组失效阈值之比判断其健康状态。实验结果表明,通过上述方法主控系统能实时监测到超级电容模组健康状态,特别是当超级电容老化失效发生时,可进行实时报警。该方法有效地实时监测了风电机组变桨用超级电容模组健康状态,从而极大地提高了风电机组安全运行的可靠性。

    Abstract:

    With the safe operation of the whole wind turbine generator to be paid more attention, the reliability of the ultracapacitor modules for wind turbine pitching has become more and more important. For continuously monitoring to the health status of the ultracapacitor modules and ensuring the reliability, this paper presents an on-line monitoring method of the health state of the module. When wind turbines LVRT and feathering after power down, it can measure the electronic quantity that the ultracapacitor discharges respectively by open circuit voltage measurement methods and current integral measurement methods in the master system. The ratio of the difference of the calculated electronic quantity to the failure thresholds of the ultracapacitor module determines the health state of the ultracapacitor module. Experimental results show that the master-controlled system can monitor the ultracapacitor module health status by the above methods, particularly when the ultracapacitor aging failure occurs, this method can continuously effectively monitor the health status of the ultracapacitor for wind turbine pitching, thus improve the reliability of wind turbines for safe operation. This work is supported by National Natural Science Foundation of China (No. 51207048).

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石建,周腊吾,葛召炎,等.大风电机组变桨用超级电容模组健康状态在线监测方法研究[J].电力系统保护与控制,2016,44(12):108-113.[SHI Jian, ZHOU Lawu, GE Zhaoyan, et al. Online monitoring method of health state of ultracapacitor for wind turbine pitching[J]. Power System Protection and Control,2016,V44(12):108-113]

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  • 收稿日期:2015-07-20
  • 最后修改日期:2015-09-10
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  • 在线发布日期: 2016-06-16
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