| 引用本文: | 谭爱国,吴颖颖,王传启,李飞宇.基于保障低压穿越能力的风电机组撬棒自适应投切策略研究[J].电力系统保护与控制,2021,49(18):98-109.[点击复制] |
| TAN Aiguo,WU Yingying,WANG Chuanqi,LI Feiyu.Adaptive switching strategy for a wind turbine crowbar based on the guarantee of low voltage ride-through capability[J].Power System Protection and Control,2021,49(18):98-109[点击复制] |
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| 摘要: |
| 针对风电场低压穿越(Low Voltage Ride Through, LVRT)能力提升问题，以并网型中大规模风电场为研究对象，从整个风电场层面出发，分析了故障扰动场景下双馈风机(Doubly-fed Induction Generator, DFIG)的暂态特性及LVRT能力。利用RBF(Radial Basis Function)神经网络对切除后的DFIG转子电流暂态过程进行有效拟合，提出了一种撬棒保护自适应投切策略。算例仿真结果表明，RBF神经网络对故障后转子侧最大电流预测较为准确，能够有效避免撬棒的重复投切。该策略进一步提升了故障场景下风电场的无功支撑和LVRT能力，显著提高了风电场运行的安全稳定性水平。 |
| 关键词: 无功支撑 风电场 低电压穿越 撬棒保护 自适应投切 |
| DOI：DOI: 10.19783/j.cnki.pspc.201231 |
| 投稿时间：2020-10-13修订日期：2021-04-23 |
| 基金项目:国家自然科学基金面上项目(51877088)；恩施州科技局项目(RZ1900001902) |
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| Adaptive switching strategy for a wind turbine crowbar based on the guarantee of low voltage ride-through capability |
| TAN Aiguo1，2,WU Yingying1,WANG Chuanqi2,LI Feiyu3 |
| (1. Hubei Minzu University, Enshi 445000, China; 2. Tianjin Keyvia Company, Tianjin 300392, China;
3. State Key Laboratory of Advanced Electromagnetic Engineering and Technology,
Huazhong University of Science and Technology, Wuhan 430074, China) |
| Abstract: |
| To improve the low-voltage ride-through capability of wind farms, this paper takes grid-connected medium and large-scale wind farms as the research object. Starting from the entire wind farm level, it analyzes the transient characteristics and LVRT capabilities of doubly-fed wind turbines under fault disturbance scenarios. The RBF neural network is used to fit the transient process of the DFIG rotor current after removal, and a crowbar protection adaptive switching strategy is proposed. The simulation results of the calculation example show that the RBF neural network is more accurate in predicting the maximum current on the rotor side after a fault, and can effectively avoid repeated switching of the crowbar. This strategy further improves the reactive power support and LVRT capabilities of wind farms under fault scenarios, and significantly improves the safety and stability of wind farm operation.
This work is supported by the National Natural Science Foundation of China (No. 51877088) and Enshi Science and Technology Bureau (No. RZ1900001902). |
| Key words: reactive power support wind farm LVRT crowbar protection adaptive switch-in and switch-off scheme |
