风能集成电力系统中因故障引起的频率响应特征的预测方法,使用广域测量数据
Yi Hu1, Jinglin Luo1, Tao Wang1
1School of Electrical Engineering and Electronic Information, Xihua University, Chengdu 610039, China.
Entropy (Basel, Switzerland)
|November 26, 2025
概括
大规模的风电整合挑战了电网频率的稳定性. 这项研究引入了一种新的方法来分析断层后的频率动态,通过模拟各种风条件和区域差异来提高高风电网的稳定性.
科学领域:
- 电气工程 电气工程
- 电力系统分析 分析 分析
- 整合可再生能源的整合
背景情况:
- 大规模的风能集成引入了低惯性和脱效应,影响了电网频率稳定性.
- 现代电力系统面临着越来越严格的风能能源频率监管需求.
- 断层条件加剧了高风透网的频率响应复杂性.
研究的目的:
- 为高风透网提供先进的故障后频率动态分析方法.
- 开发一种方法,在多种风速场景和区域运行差异下准确模拟频率响应.
- 提高在具有大量风能的电力系统中频率分析的可靠性和准确性.
主要方法:
- 传统的交流系统组件的线性化,以建立节点功率增量方程.
- 开发风力轮机频率调节模型,使用小信号分析和基于信息的可靠性量化.
- 用广域测量系统 (WAMS) 数据推导故障后频率响应的系统状态方程.
主要成果:
- 拟议的方法有效地分析了在多风速条件下故障后的频率动态.
- 分析模型捕捉了特定区域的频率调节特征差异,以便进行物理准确的分析.
- 基于信息的量化改进了风力轮机模型的适应性参数调整.
结论:
- 开发的方法为处理电网中故障诱导的瞬态和风力波动提供了一种优越的方法.
- 这种技术提高了在风力发电透率高的电网中频率稳定性评估的准确性.
- 该研究提供了一个经过验证的框架,用于通过集成可再生能源来提高电网弹性.
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