| 引用本文: | 张雯欣,吴琛,黄伟,高晖胜,辛焕海.基于设备模型辨识的新能源电力系统共模频率特征量化[J].电力自动化设备,2022,42(8): |
| ZHANG Wenxin,WU Chen,HUANG Wei,GAO Huisheng,XIN Huanhai.Quantization of common mode frequency characteristic in power system with renewable resource based on equipment model identification[J].Electric Power Automation Equipment,2022,42(8): |
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| 摘要: |
| 实际电力系统存在部分设备模型不准确与“黑箱化”的问题，使得现有频率特征量化研究的应用场景受限。为此，提出一种利用测量数据辨识设备模型并将其简化为统一结构模型以量化最低点等系统频率特征的方法。采用输出误差模型描述待辨识设备，基于测量所得设备并网接口功率、频率数据，结合辅助变量法以及高斯-牛顿法估计模型参数。进一步地，结合系统实际工况将已辨识得到的发电设备模型简化为微分-比例-一阶滞后3个环节组成的统一结构以简化频率响应分析，进而量化频率平均变化率及频率最低点等频率特征。最后，通过仿真验证了基于设备模型辨识的新能源电力系统共模频率特征量化方法的有效性。 |
| 关键词: 电力系统 设备辨识 统一结构 频率特征量化 输出误差模型 高斯-牛顿法 |
| DOI：10.16081/j.epae.202207009 |
| 分类号:TM73 |
| 基金项目:中国南方电网云南电网有限责任公司科技 项目(YNKJXM20201999)；云南省重大科技专项计划 (202002AF080001) |
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| Quantization of common mode frequency characteristic in power system with renewable resource based on equipment model identification |
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ZHANG Wenxin1, WU Chen2, HUANG Wei2, GAO Huisheng3, XIN Huanhai1,3
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1.Polytechnic Institute, Zhejiang University, Hangzhou 310027, China;2.Yunnan Power Grid Co.,Ltd.,Kunming 650011, China;3.College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
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| Abstract: |
| There are inaccurate and “black-boxed” problems of some equipment models in actual power system, which limits the application scenarios of existing frequency characteristic quantification research. Therefore, a method of identifying the equipment model using the measurement data is proposed, and it is simplified to be the unified structure model for quantifying the frequency characteristics of system such as the frequency nadir etc. The output error model is used to describe the equipment to be identified, and the parameters of the model are estimated based on the power and frequency data of the grid-connected interface for the equipment, combined with the auxiliary variable method and Gauss-Newton method. Furthermore, combined with the actual working conditions of the system, the identified power generation equipment model is simplified to be a unified structure consisting of differential, proportional and first-order lag to simplify frequency response analysis, and then the frequency characteristics such as the average variation rate of frequency, frequency nadir and so on are quantified. Finally, the effectiveness of quantification method of common mode frequency characteristic in power system with renewable resource based on equipment model identification is verified by simulation. |
| Key words: electric power systems equipment identification unified structure quantization of frequency characteristic output error model Gauss-Newton method |
