Frequency Stability Analysis Based on Generation Flexibility and Domain of Attraction for Power Systems with High Proportion of Renewable Energy Sources

IF 6.1 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Xiaohui Zhang;Changhong Deng;Qiang Xu;Peng Cao;Wei Li;Li Feng
{"title":"Frequency Stability Analysis Based on Generation Flexibility and Domain of Attraction for Power Systems with High Proportion of Renewable Energy Sources","authors":"Xiaohui Zhang;Changhong Deng;Qiang Xu;Peng Cao;Wei Li;Li Feng","doi":"10.35833/MPCE.2024.000714","DOIUrl":null,"url":null,"abstract":"The significant increase in the proportion of renewable energy sources (RESs) has elevated risks of extreme ramp events and frequency instability in power systems. In recent years, frequency stability events have occurred in several countries/regions worldwide due to flexibility deficiencies. Generation flexibility has emerged as a critical factor influencing the frequency stability of power systems. This paper proposes a domain of attraction (DOA)-based quantitative method to assess the frequency stability region of power systems with a high proportion of RESs, considering generation flexibility constraints. First, ramp rate is adopted as the core indicator to characterize generation flexibility within automatic generation control (AGC) timescale, through which a nonlinear AGC model with rate saturation constraints is established. Second, the concept of DOA is introduced to define the stability region of the nonlinear AGC. Third, a quadratic Lyapunov-based estimation method is employed to quantitatively analyze the DOA of the nonlinear AGC at different generation flexibility levels. Simulation results demonstrate that increased generation flexibility expands the estimated DOA of the nonlinear AGC, whereas generation flexibility deficiency induces AGC instability. Moreover, state trajectory and time-domain simulation verify that the proposed estimation method accurately represents the stability region of the nonlinear AGC.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":"13 4","pages":"1139-1150"},"PeriodicalIF":6.1000,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10916680","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Modern Power Systems and Clean Energy","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10916680/","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

Abstract

The significant increase in the proportion of renewable energy sources (RESs) has elevated risks of extreme ramp events and frequency instability in power systems. In recent years, frequency stability events have occurred in several countries/regions worldwide due to flexibility deficiencies. Generation flexibility has emerged as a critical factor influencing the frequency stability of power systems. This paper proposes a domain of attraction (DOA)-based quantitative method to assess the frequency stability region of power systems with a high proportion of RESs, considering generation flexibility constraints. First, ramp rate is adopted as the core indicator to characterize generation flexibility within automatic generation control (AGC) timescale, through which a nonlinear AGC model with rate saturation constraints is established. Second, the concept of DOA is introduced to define the stability region of the nonlinear AGC. Third, a quadratic Lyapunov-based estimation method is employed to quantitatively analyze the DOA of the nonlinear AGC at different generation flexibility levels. Simulation results demonstrate that increased generation flexibility expands the estimated DOA of the nonlinear AGC, whereas generation flexibility deficiency induces AGC instability. Moreover, state trajectory and time-domain simulation verify that the proposed estimation method accurately represents the stability region of the nonlinear AGC.
基于发电柔性和吸引域的高比例可再生能源电力系统频率稳定性分析
可再生能源比例的显著增加增加了电力系统发生极端斜坡事件和频率不稳定的风险。近年来,由于灵活性不足,在全球多个国家/地区发生了频率稳定事件。发电柔性已成为影响电力系统频率稳定性的重要因素。本文提出了一种基于吸引域(DOA)的定量方法,在考虑发电机组柔性约束的情况下,对高RESs比例电力系统的频率稳定区域进行评估。首先,在自动发电控制(AGC)时间尺度内,采用斜坡率作为表征发电柔性的核心指标,建立了具有速率饱和约束的非线性AGC模型;其次,引入DOA的概念来定义非线性AGC的稳定区域;第三,采用二次lyapunov估计方法,定量分析了不同发电柔性水平下非线性AGC的DOA。仿真结果表明,增加发电机组柔性可增大非线性AGC的估计DOA,而发电机组柔性不足会导致AGC失稳。此外,状态轨迹和时域仿真验证了所提估计方法能准确表征非线性AGC的稳定区域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of Modern Power Systems and Clean Energy
Journal of Modern Power Systems and Clean Energy ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
12.30
自引率
14.30%
发文量
97
审稿时长
13 weeks
期刊介绍: Journal of Modern Power Systems and Clean Energy (MPCE), commencing from June, 2013, is a newly established, peer-reviewed and quarterly published journal in English. It is the first international power engineering journal originated in mainland China. MPCE publishes original papers, short letters and review articles in the field of modern power systems with focus on smart grid technology and renewable energy integration, etc.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信