浙江电力

2025, v.44;No.353(09) 21-29

[打印本页] [关闭]
本期目录(Current Issue) | 过刊浏览(Archive) | 高级检索(Advanced Search)

基于Pade近似的新型电力系统频率响应模型
A Padé approximation-based frequency response model for modern power systems

卢国强,李剑,王亦婷,王怀远
LU Guoqiang,LI Jian,WANG Yiting,WANG Huaiyuan

摘要(Abstract):

随着大规模可再生能源的并网,新型电力系统的调频单元分散化与多样化加剧了系统频率响应分析的复杂度。如何准确高效地评估各调频单元的作用并建立简单可靠的系统频率响应模型是新型电力系统频率分析的研究重点之一。首先对传统机组、风电场、光伏场站进行详细分析,对各调频单元分别建立频率响应模型;然后,集成各调频单元的频率响应模型,建立新型电力系统频率响应高阶模型;为进一步解决由于模型阶数高而产生的不便于在复杂系统中应用这一缺陷,利用Pade近似法对高阶模型进行降阶,得到一种适用于新型电力系统的频率响应模型;最后,在扩展IEEE 9节点与扩展IEEE 39节点系统中对所提方法进行仿真验证。结果表明,所提频率响应模型在简化模型结构的同时,仍能保证良好的预测精度。
The integration of large-scale renewable energy has led to decentralized and diversified frequency regulation units in modern power systems, significantly increasing the complexity of frequency response analysis. Accurate and efficient evaluation of each regulation unit's contribution while establishing a simple yet reliable system-wide frequency response model remains a key research challenge. First, detailed analysis is conducted on conventional units, wind farms, and PV power stations, where individual frequency response models are established for each frequency regulation unit. These unit-level models are then integrated to form a high-order frequency response model for modern power systems. To address computational challenges caused by high model orders in complex system applications, the Padé approximation method is applied for order reduction, yielding a practical frequency response model for modern power systems. Finally, simulations on modified IEEE 9-bus and 39-bus test systems demonstrate that the proposed model maintains strong prediction accuracy while achieving significant structural simplification.

关键词(KeyWords): 新型电力系统;频率响应特性;Pade近似;降阶建模
modern power system;frequency response characteristic;Padé approximation;order-reduction modeling

Abstract:

Keywords:

基金项目(Foundation): 福建省自然科学基金(2022J01113);; 国网青海省电力公司科技项目(522800230001)

作者(Author): 卢国强,李剑,王亦婷,王怀远
LU Guoqiang,LI Jian,WANG Yiting,WANG Huaiyuan

DOI: 10.19585/j.zjdl.202509003

参考文献(References):

扩展功能
本文信息
服务与反馈
本文关键词相关文章
本文作者相关文章
中国知网
分享