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含风电的链状电力系统频率动态分布特性分析

安军 石岩 曹帅 周毅博 李可心 张万祥

电力系统自动化2025,Vol.49Issue(10):49-57,9.
电力系统自动化2025,Vol.49Issue(10):49-57,9.DOI:10.7500/AEPS20240702004

含风电的链状电力系统频率动态分布特性分析

Analysis of Frequency Dynamic Distribution Characteristics in Chain-structured Power System with Wind Power

安军 1石岩 1曹帅 2周毅博 1李可心 1张万祥1

作者信息

  • 1. 现代电力系统仿真控制与绿色电能新技术教育部重点实验室(东北电力大学),吉林省 吉林市 132012
  • 2. 国家电网有限公司东北分部,辽宁省 沈阳市 110179
  • 折叠

摘要

Abstract

The integration of renewable energy generation,represented by wind power,into the power system has a significant impact on frequency security,and the frequency distribution characteristics have gradually become a focal point of attention.To study the influence of wind power integration into multi-machine systems on frequency distribution characteristics,based on the frequency response characteristics of the"grid,source,and load"sides,this paper constructs an analytical model of the frequency response distribution characteristics of a multi-machine system with wind power,and analyzes the impact mechanism of wind power integration on the frequency distribution characteristics.Then a multi-dimensional quantitative index system is developed to describe the relative dispersion and absolute differences in frequency response.Next,the validity of the mechanism model is verified using a simple chain-structured power system with"generation-transmission-reception",and the influence rules of electrical distance,wind power integration location,and disturbance location on the frequency distribution characteristic indices are analyzed.Finally,the influence rules of distribution characteristics are analyzed and verified in an actual large-scale power system with a high proportion of renewable energy.

关键词

新型电力系统/新能源发电/频率/分布特性/频率安全/机理模型/量化指标

Key words

new power system/renewable energy generation/frequency/distribution characteristic/frequency security/mechanism model/quantitative index

引用本文复制引用

安军,石岩,曹帅,周毅博,李可心,张万祥..含风电的链状电力系统频率动态分布特性分析[J].电力系统自动化,2025,49(10):49-57,9.

基金项目

国家自然科学基金重点项目(52337004). This work is supported by National Natural Science Foundation of China(No.52337004). (52337004)

电力系统自动化

OA北大核心

1000-1026

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