Analytical prediction method of power system frequency deviation under uncertain power fluctuations

Author:

Zhu Lixuan1ORCID,Ju Ping1,Yu Yiping1

Affiliation:

1. College of Energy and Electrical Engineering Hohai University Nanjing Jiangsu China

Abstract

AbstractIn modern power systems, the impact of random power sources and loads on power systems is increasing, resulting in threatened system frequency security. However, traditional methods are often not comprehensive in modelling randomness, and there is no analytical method to assess the frequency response of power systems under uncertain power fluctuations. Here, the power fluctuation in a power system is regarded as an interval random quantity. An analytical prediction method of the power system frequency deviation under uncertain power fluctuation is proposed. Through further deduction, the allowable range of power fluctuation under the premise of secure frequency deviation can also be defined, which provides a reference for frequency security and accident prevention in power systems. Numerical simulations with the model of the East China Power Grid demonstrate that the proposed analytical method can delimit the response interval of system frequency deviation well, and the backstepping calculation can also delimit the allowable range of power fluctuation to ensure the secure operation of the system.

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Reference43 articles.

1. Review of research on power system stochastic analysis methods;Wang C.;Autom. Electr. Power Syst.,2022

2. Stochastic energy management strategy of smart building microgrid with electric vehicles and wind‑solar complementary power generation system;Bhagat K.;Iran. J. Sci. Technol.,2023

3. Sufficient Conditions for Robust Frequency Stability of AC Power Systems

4. Review and countermeasures on frequency security issues of power systems with high shares of renewables and power electronics;Zhang Z.Y.;Proc. CSEE,2022

5. Optimal power flow incorporating stochastic wind and solar generation by metaheuristic optimizers

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3