计及多资源投运占比的电力系统惯量量化评估方法

闫朝阳; 李杰; 刘韶峰; 丁超杰; 周天; 常康; 杨丽

doi:10.11930/j.issn.1004-9649.202509069

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计及多资源投运占比的电力系统惯量量化评估方法

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- 计及多资源投运占比的电力系统惯量量化评估方法
- A quantitative evaluation method for power system inertia considering the proportion of multiple resources in operation
- 中国电力 2026年59卷第4期页码：59-69
- 作者机构：
  
  1. 国网江苏省电力有限公司,江苏,南京,210024
  2. 国电南瑞科技股份有限公司,江苏,南京,211000
- 作者简介：
- 基金信息：
  
  国家科技重大专项（2024ZD0801100）;国网江苏省电力有限公司科技项目（J2023120）。
- DOI：10.11930/j.issn.1004-9649.202509069
  中图分类号：
- 网络首发：2026-04-20，
  
  纸质出版：2026
- 稿件说明：
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闫朝阳, 李杰, 刘韶峰, 丁超杰, 周天, 常康, 杨丽. 计及多资源投运占比的电力系统惯量量化评估方法[J]. 中国电力, 2026, 59(4): 59-69.

YAN Zhaoyang, LI Jie, LIU Shaofeng, et al. A quantitative evaluation method for power system inertia considering the proportion of multiple resources in operation[J]. 2026, 59(4): 59-69.
闫朝阳, 李杰, 刘韶峰, 丁超杰, 周天, 常康, 杨丽. 计及多资源投运占比的电力系统惯量量化评估方法[J]. 中国电力, 2026, 59(4): 59-69. DOI： 10.11930/j.issn.1004-9649.202509069.

YAN Zhaoyang, LI Jie, LIU Shaofeng, et al. A quantitative evaluation method for power system inertia considering the proportion of multiple resources in operation[J]. 2026, 59(4): 59-69. DOI： 10.11930/j.issn.1004-9649.202509069.

摘要

随着高比例新能源并网，电力系统惯量特性发生根本性演变，传统依赖同步机组的惯量评估方法已难以适配新型电力系统的发展需求。提出一种基于多维度惯量资源投运占比的电力系统惯量量化方法。首先，构建涵盖同步机组、新能源发电、直流输电、柔性负荷及储能系统的多资源惯量评估模型，系统解析各类资源的惯量支撑机制；其次，针对各类资源的惯量特性开展差异化量化建模，精准刻画其在不同运行工况下的惯量贡献度，并创新性地提出基于容量占比权重指标的惯量统计方法，实现对多资源电力系统整体惯量水平的综合评估；最后，依托PSD-BPA仿真软件与本文构建的频率响应模型设计多场景验证实验，在CSEE小系统80 MW切负荷扰动场景下，所提方法评估的稳态频率、最大频率偏差与PSD-BPA仿真实测值的误差分别仅为0.023%和8.809%。

Abstract

With high-proportion new energy grid integration

power system inertia characteristics have evolved fundamentally

and traditional methods relying on synchronous units can hardly meet new-type power system needs. This paper proposes an inertia quantification method based on multi-dimensional inertia resource operation proportion: first

a multi-resource inertia assessment model (covering synchronous units

new energy

DC transmission

flexible loads and energy storage) is built

systematically analyzing various resources’ inertia support mechanisms; second

differentiated quantitative modeling is conducted for each resource’s inertia characteristics to characterize their inertia contribution under different conditions

with an innovative inertia statistical method based on capacity proportion weight proposed for comprehensive assessment of overall inertia; finally

multi-scenario verification is done via PSD-BPA and the proposed frequency response model. In the CSEE small system’s 80 MW load-shedding scenario

the steady-state frequency and maximum frequency deviation errors versus PSD-BPA measured values are only 0.023% and 8.809%.

关键词

Keywords

references

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