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新能源接入电力系统分区惯量估计及虚拟惯量配置OA

Regional inertia estimation and virtual inertia configuration of new energy connected power system

中文摘要英文摘要

近年来,随着新能源大量接入电力系统,电力系统惯量呈时空分布不均特性,因此文中提出一种基于动态模式分解(dynamic mode decomposition,DMD)的电力系统分区惯量估计及虚拟惯量配置方法,基于惯量估计理论建立新能源接入电力系统区域等效惯量模型.基于谱聚类算法对电力系统进行分区并根据各区域节点的皮尔逊相关系数确定频率测量节点,通过DMD方法估计区域惯量.根据频率安全约束计算区域临界惯量,根据惯量配置策略对新能源及储能虚拟惯量进行配置.在PSCAD中搭建改进的含风储系统的IEEE 10机 39 节点模型进行仿真,仿真结果表明所提方法可以精确估计区域惯量,惯量估计误差小于 5%.基于惯量估计结果的风机和储能虚拟惯量在线配置策略能够有效防止频率越限,提升系统的频率安全稳定性.

The increasing integration of renewable energy sources has caused spatially and temporally uneven inertia distribution in power systems.This paper proposes a regional inertia estimation and virtual inertia configuration method using dynamic mode decomposition(DMD).A regional equivalent inertia model is established based on inertia estimation theory for renewable-penetrated power systems.The power system is partitioned via spectral clustering,and frequency measurement nodes are selected according to Pearson correlation coefficients of regional nodes.Regional inertia is then estimated through the DMD method.Critical regional inertia requirements are calculated based on frequency security constraints to configure virtual inertia for renewable energy and energy storage systems.An improved IEEE 10-machine 39-node model with wind-storage systems is implemented in PSCAD for validation.Simulation results demonstrate that the proposed method achieves regional inertia estimation with errors below 5%.The online virtual inertia configuration strategy for wind turbines and energy storage systems effectively prevents frequency violations and enhances frequency security and stability.

吴仁杰;江琴;李保宏;刘天琪

四川大学电气工程学院,四川 成都 610065四川大学电气工程学院,四川 成都 610065四川大学电气工程学院,四川 成都 610065四川大学电气工程学院,四川 成都 610065

信息技术与安全科学

新能源分区惯量惯量估计虚拟惯量惯量配置动态模式分解(DMD)

new energyregional inertiainertia estimationvirtual inertiainertia configurationdynamic mode decomposition(DMD)

《电力工程技术》 2026 (1)

3-12,10

四川省科技计划资助项目(2024NSFSC0865)

10.12158/j.2096-3203.2026.01.001

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