基于实测数据的双馈风电机电暂态仿真模型参数识别方法

doi:10.3969/j.issn.1000-7229.2015.12.008

摘要/Abstract

摘要：

双馈风电的机电暂态仿真模型具有比较复杂的结构和较多的控制参数，根据实测数据建立实际机组的模型参数是实际应用的重要前提和基础。根据双馈风电模型的基本结构特点以及不同模型参数对输出特性的影响程度，提出了基于参数影响程度的分类确定方法。首先根据双馈风电的基本原理和模型结构，分析不同部分参数变化对风电机组输出有功、无功特性的影响程度，指出正常控制方式、低电压穿越期间控制方式及参数具有较大影响；之后基于实际数据条件，针对不同参数提出了分别采用厂家获取、典型参数、实测拟合的分类处理方法；最后采用实际双馈风电机组介绍了方法的流程、参数拟合的结果和效果。实践证明该文提出的参数识别方法能够反映实际风电的关键特性，具有较好的实际应用价值。

关键词: 双馈风电, 机电暂态, 实测数据, 参数识别

Abstract:

The electromechanical transient simulation model of double-fed wind power has complex structure and more control parameters. It is important prerequisite and basis for the actual application to obtain units model parameters based on the measured data. According to the basic structure characteristic of double-fed wind power model and the influence degree of different model parameters on output characteristics, this paper proposed classification determination method based on the influence degree of parameters. Firstly, based on the basic theory and model structure of double-fed wind power, this paper analyzed the influence of different model parameters on the active power and reactive power output characteristics of wind turbines. The results show that the control mode in normal status and the control mode, parameters in low voltage ride through status have great influences. Then, based on the actual data, this paper put forward classification processing method for different types of parameters including acquired from manufacturer, using typical parameters and parameter fitting from measured data. Finally, a double-fed wind power unit was used as the example to introduce the method process, as well as the result and effect of parameter fitting. The practice proves that the proposed parameter identification method can reflect the key characteristics of the actual wind power and has good practical application value.

Key words: double-fed wind power, electromechanical transient, measured data, parameter identification

中图分类号:

TM 743

侯俊贤，王小海，陶向宇，齐军，张石，张红光. 基于实测数据的双馈风电机电暂态仿真模型参数识别方法[J]. 电力建设, 2015, 36(12): 48-56.

HOU Junxian, WANG Xiaohai, TAO Xiangyu, QI Jun, ZHANG Shi, ZHANG Hongguang. Parameter Identification Method of Double-Fed Wind Power Electromechanical Transient Simulation Model Based on Measured Data[J]. ELECTRIC POWER CONSTRUCTION, 2015, 36(12): 48-56.

参考文献

［1］刘光德，姚兴佳，赵杨.变速风电机组仿真用数学模型研究［J］.可再生能源，2006（2）：52-54.
Liu Guangde，Yao Xingjia，Zhao Yang，et al. Research of mathematical model in simulation of variable speed wind turbine［J］.Renewable Energy， 2006，（2）：52-54.
［2］孙国霞，李啸骢，蔡叉明.大型变速恒频风电系统的建模与仿真［J］.电力自动化设备，2007，27（10）:69-72.
Sun Guoxia，Li Xiaocong，Cai Chaoming.Modeling and simulation of variable-speed wind generator system with large capacity［J］.Electric Power Automation Equipment，2007，27（10）：69-72.
［3］许寅，陈颖，梅生伟.风力发电机组暂态仿真模型［J］.电力系统自动化，2011，35（9）：100-107.
Xu Yin，Chen Ying，Mei Shengwei.Review on wind turbine models for power system transient simulations［J］.Automation of Electric Power System，2011，35（9）：100-107.
［4］刘涛，叶小晖，吴国旸，等.适用于电力系统中长期动态仿真的风电机组有功控制模型［J］.电网技术，2014，38（5）：1210-1215.
Liu Tao，Ye Xiaohui，Wu Guoyang，et al. An active power control model of wind power generating unit suitable for medium-and long-term dynamic simulation of power grid［J］.Power System Technology，2014，38（5）：1210-1215.
［5］魏林君，迟永宁，赵建国，等.双馈变速风电机组低电压穿越控制［J］.电网与清洁能源，2009，25（2）：41-45.
Wei Linjun，Chi Yongning，Zhao Jianguo，et al. Control of low voltage ride-through in doubly fed induction generators［J］.Power System and Clean Energy，2009，25（2）：41-45.
［6］Clark K，Miller N W，Sanchez-Gasca J J.Modeling of GE wind turbine-generators for grid studies［R］.2009.
［7］Proposed Changes to the WECC WT3 Generic Model for Type 3 Wind Turbine Generators ［R］.2012.
［8］内蒙古电网典型风电机电暂态仿真模型研究及PSD-BPA程序开发［R］. 北京：中国电力科学研究院，2015.
［9］DL/T 1167—2012.同步发电机励磁系统建模导则［S］.2012.
［10］王官宏, 濮钧, 陶向宇，等. 电力系统稳定计算用国产700 MW水轮机调节系统建模及参数测试［J］. 电网技术, 2010, 34（3）: 101-105.
Wang Guanhong, Pu Jun, Tao Xiangyu，et al. Modeling and parameter testing of governing system for domestic-manufactured 700 MW hydraulic turbine suitable to power system stability calculation［J］. Power System Technology, 2010, 34（3）: 101-105.
［11］赵红光, 刘增煌, 朱方，等. 华中—川渝联网稳定计算用发电机励磁和调速系统的数学模型及参数［J］. 电网技术, 2007, 31（5）: 50-57.
Zhao Hongguang, Liu Zenghuang, Zhu Fang，et al. Research on mathematical models and parameters of generator excitation system and governor system for stability analysis of interconnection of central china power grid with Sichuan-Chongqing power grid［J］. Power System Technology, 2007, 31（5）: 50-57.
［12］吴涛, 于啸, 郭嘉阳，等. 暂态稳定计算中双馈型风电机组模型与参数的实证分析［J］.电网技术, 2011, 35（1）: 100-105.
Wu Tao, Yu Xiao, Guo Jiayang, et al. Empirical analysis on model and parameters of grid-connected doubly fed induction generators in transient stability computation［J］.Power System Technology, 2011, 35（1）: 100-105.
［13］付蓉, 孙万鹏. 基于轨迹特征分析的双馈风电机组参数识别［J］.中国电力, 2013, 46（7）: 100-104.
Fu Rong, Sun Wanpeng. Parameter identification of DFIG based on trajectory characteristic analysis ［J］.Electric Power, 2013, 46（7）: 100-104.
［14］潘学萍, 温荣超, 鞠平，等. 双馈风电机组网侧控制器参数辨识的频域方法［J］.电网技术, 2015, 39（3）: 634-638.
Pan Xueping, Wen Rongchao, Ju Ping et al. A frequency-domain based method to identify parameters of grid side converter controller for doubly fed induction generators［J］.Power System Technology, 2015, 39（3）: 634-638.

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