| 引用本文: | 郭庆奎,张洪阳,张志锋,等.风机并网变流器温升分析与控制参数优化[J].电力系统保护与控制,2018,46(24):173-179.[点击复制] |
| GUO Qingkui,ZHANG Hongyang,ZHANG Zhifeng,et al.Temperature rise evaluation and control parameter optimization of wind power grid converter[J].Power System Protection and Control,2018,46(24):173-179[点击复制] |
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| 摘要: |
| 并网变流器作为风电机组的核心部件之一，其故障时间直接影响机组的发电量和度电成本。特别是在风机并网可靠性要求高和工况恶劣环境下，变流器可靠性显得更重要。其中，因变流器温升问题导致的停机故障已经成为影响可靠性的重要因素之一。分析了影响风机并网变流器温升的主要因素，通过优化温升相关的开关频率、发波方式及影响PWM电压波形的吸收电容值大小等主要控制参数，给出了风机并网变流器过温问题的保护与治理措施以及相关参数优化方案，并对选用的1.5 MW双馈风机并网变流器进行了实验对比分析。通过实验数据可以看到，同等条件下变流器的温升会明显降低，实验结果证明了所提方案的有效性。 |
| 关键词: 变流器 风电机组 温升分析 参数优化 实验验证 |
| DOI：10.7667/PSPC171857 |
| 投稿时间：2017-12-22修订日期：2018-03-28 |
| 基金项目:中国石化集团公司资助项目(317018);国家自然科学基金项目资助(61603263) |
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| Temperature rise evaluation and control parameter optimization of wind power grid converter |
| GUO Qingkui,ZHANG Hongyang,ZHANG Zhifeng,SHEN Hui |
| (SINOPEC Tianjin Branch, Tianjin 300271, China;SINOPEC Fushun Research Institute of Petroleum and Petrochemicals, Fushun 113001, China;College of Electrical Engineering, Shenyang University of Technology, Shenyang 110023, China;Overhaul Corporation, State Grid Henan Electric Power Co., Ltd., Zhengzhou 450000, China) |
| Abstract: |
| Converter is one of the core components of the wind turbine and its fault time will directly affect the power generation and the cost. Its reliability will be more important in higher wind turbine reliability and critical conditions. The shutdown fault caused by the increased temperature has become one of the important factors that influence the reliability. The main factors of converter temperature increasing are analyzed in this paper, and the main control parameters, such as switching frequency, wave mode, and absorption capacitance, are designed optimally, and the protection and treatment measures and optimization process of over temperature are given. Comparison analysis based on 1.5 MW doubly fed wind turbine converter is carried out. Finally, the experimental data shows that the temperature of the converter would be significantly decreased under the same conditions, and the experimental results prove the effectiveness of the process. This work is supported by Sinopec Group Funded Projects (No. 317018) and National Natural Science Foundation of China (No. 61603263). |
| Key words: converter wind turbine temperature analysis parameter optimization test verification |
