| 引用本文: | 王清,薛安成,毕天姝,霍建东.基于分解降阶模型的双馈异步发电机模态估计方法[J].电力系统保护与控制,2016,44(6):1-7.[点击复制] |
| WANG Qing,XUE Ancheng,BI Tianshu,HUO Ji,ong.A decomposed-reduced model based modes estimation method of DFIG[J].Power System Protection and Control,2016,44(6):1-7[点击复制] |
|
| 摘要: |
| 了解双馈异步发电机的本征特性对于揭示其对电力系统稳定性影响的机理具有重要意义。传统本征特性研究方法基于双馈异步发电机详细模型分析模态，方程阶数高、计算量大，且分析结果缺乏有效验证手段。根据状态变量特征及其耦合特性，提出基于分解降阶模型的重要模态估计方法。首先基于机械传动链模型和异步发电机模型方程，分析了机械传动链和异步发电机状态变量与双馈异步发电机系统其他状态变量的多时间尺度和耦合特性。在此基础上，提出了基于分解降阶模型的轴系扭振和定转子磁链振荡模态的估计方法，并利用奇异摄动理论揭示了该降阶模态估计方法的内在本质。最后，通过对比分析分解降阶模态估计、详细模型模态分析结果，验证了分解降阶模态估计方法的正确性。 |
| 关键词: 双馈异步发电机 本征特性 模态分类 模态降阶估计 奇异摄动理论 |
| DOI：10.7667/PSPC150995 |
| 投稿时间：2015-06-14修订日期：2015-11-05 |
| 基金项目:国家重点基础研究发展计划项目(973计划) (2012CB215206)；国家自然科学基金(51477050, 51190103) |
|
| A decomposed-reduced model based modes estimation method of DFIG |
| WANG Qing,XUE Ancheng,BI Tianshu,HUO Jiandong |
| (State Key Laboratory of Alternate Electrical Power System with Renewable Energy Source, North China Electric Power University, Beijing 102206, China;State Grid Tianjin Electric Power Corporation, Tianjin 300399, China) |
| Abstract: |
| Understanding the intrinsic characteristics of DFIG is of great importance to reveal the influencing mechanism of DFIGs on power system stability. The conventional analysis of intrinsic characteristics is based on the modal analysis for the detail model of DFIG and characterized by high-order equation and heavy computation. Besides, the results of the analysis lack effective validation. A method of reduced-order model based modes estimation is proposed according to the characteristics of state variables and their coupling property. The multi-time scale and coupling properties of the state variables of DFIG system is analyzed. And then, the reduced-order model based modes estimation of mechanical and rotor electrical oscillatory modes is proposed, and the essence of the method is analyzed using singular perturbation theory. In the end, the correctness of the reduced-order model based modes estimation is verified by comparing the mode results from decomposed-reduced model and detail model. |
| Key words: DFIG intrinsic characteristics modes classification reduced-order model based modes estimation singular perturbation theory |
