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风电机组仿真模型准确性评估试验与方法

来源：电工电气发布时间：2024-12-02 12:02 浏览次数：46

风电机组仿真模型准确性评估试验与方法

杨群力¹，潘学萍²，顾晨²，周鹏²

(1 江苏省战略与发展研究中心，江苏南京 210036；

2 河海大学能源与电气学院，江苏南京 211100)

摘要：准确的风电机组模型及参数是分析高比例风电电力系统动态行为的前提。讨论了风电机组模型验证的诸多要素，强调风电机组模型结构需要能够反映正常运行以及低电压穿越期间的不同动态，尤其对于电压跌落及恢复期间的动态需正确模拟。阐述了仿真模型准确性的评估方法，以某风电机组的实测受扰轨迹为例，讨论了 3 种不同偏差指标的优缺点。分析了仿真轨迹中可能出现的“毛刺”现象，以及在模型验证中对“毛刺”现象的处理方法。指出仿真轨迹只是某一特定扰动下的结果，无法全面反映风电机组的全部动态，故现有的基于时域仿真轨迹进行模型准确性评估的方法具有一定的片面性。

关键词： 风电机组；通用模型；参数辨识；模型验证；偏差指标

中图分类号：TM614 文献标识码：A 文章编号：1007-3175(2024)11-0001-07

Experiment and Methods for Assessing the Accuracy of Wind

Turbine Generator Set Simulation Models

YANG Qun-li¹, PAN Xue-ping², GU Chen², ZHOU Peng²

（1 Jiangsu Institute of Strategy and Development, Nanjing 210036, China;

2 College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China）

Abstract: An accurate wind turbine generator set model and its parameters are prerequisites for analyzing the dynamic behavior of power systems with a high proportion of wind power. This paper discusses various factors of wind turbine generator set (WTGS) model validation,emphasizing that the model structure of the WTGS needs to accurately reflect the different dynamics during normal operation and low voltage ride through (LVRT) events, particularly the dynamics during voltage sag and recovery periods. The evaluation method of the accuracy of the simulation model is expounded, and the advantages and disadvantages of three different deviation indexes are discussed by taking the measured disturbed track of a wind turbine as an example. It analyzes the“glitch”phenomenon that may arise in simulation trajectories and presents methods for dealing with such“glitches”during model validation. And points out that simulation trajectories are merely results of a specific disturbance and cannot fully capture all dynamics of the wind turbine generator set. Therefore, existing methods for assessing model accuracy based on time-domain simulation trajectories have a certain one-sidedness.

Key words: wind turbine generator set; general model; parameter identification; model validation; deviation index

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