An Approximation Solution of the Swing Equation Using Particle Swarm Optimization

Abdulhamid Zaidi, Qi Cheng
{"title":"An Approximation Solution of the Swing Equation Using Particle Swarm Optimization","authors":"Abdulhamid Zaidi, Qi Cheng","doi":"10.1109/SUSTECH.2018.8671355","DOIUrl":null,"url":null,"abstract":"Bring the power system to its stable operation after the system being disturbed is one of the most important capabilities in power generation and control. A loss of synchronization is generally the result of instability. The angle of the rotor in a generator depends on the mechanical power and electrical power. The output power of a synchronous machine is linked to the mechanical torque, which is central to the angle stability of rotor. Therefore, maintaining synchronization in the presence of disturbance is the goal in power generation. In this paper, the transient stability of a power system is investigated by solving the swing equation using the particle swarm optimization (PSO). The investigation is carried out for the swing equation in terms of angle stability during the normal operation and after the fault occurs. Single machine and two-machine power systems are considered in this study. The obtained results show satisfactorily approximation solution for the swing equation. The proposed method introduces a similar and better solution compared to the other conventional numerical methods.","PeriodicalId":127111,"journal":{"name":"2018 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Conference on Technologies for Sustainability (SusTech)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SUSTECH.2018.8671355","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Bring the power system to its stable operation after the system being disturbed is one of the most important capabilities in power generation and control. A loss of synchronization is generally the result of instability. The angle of the rotor in a generator depends on the mechanical power and electrical power. The output power of a synchronous machine is linked to the mechanical torque, which is central to the angle stability of rotor. Therefore, maintaining synchronization in the presence of disturbance is the goal in power generation. In this paper, the transient stability of a power system is investigated by solving the swing equation using the particle swarm optimization (PSO). The investigation is carried out for the swing equation in terms of angle stability during the normal operation and after the fault occurs. Single machine and two-machine power systems are considered in this study. The obtained results show satisfactorily approximation solution for the swing equation. The proposed method introduces a similar and better solution compared to the other conventional numerical methods.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
摆动方程的粒子群逼近解
使电力系统在受到扰动后恢复稳定运行是发电和控制中最重要的能力之一。失去同步通常是不稳定的结果。发电机转子的角度取决于机械功率和电力。同步电机的输出功率与机械转矩有关,而机械转矩对转子的角度稳定性至关重要。因此,在存在干扰的情况下保持同步是发电的目标。本文利用粒子群算法求解电力系统的摆动方程,研究了电力系统的暂态稳定问题。从角度稳定性的角度对正常运行和故障后的摆动方程进行了研究。本研究考虑单机和双机电力系统。所得结果表明摆动方程的近似解令人满意。与其他传统数值方法相比,所提出的方法提供了类似且更好的解。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
EcoPrinting: Investigation of Solar Powered Plastic Recycling and Additive Manufacturing for Enhanced Waste Management and Sustainable Manufacturing Utility Models for Harmonic Analysis Boosting DC/AC Ratio of PV Plant for BESS Integration on DC side Neuroevolution Based Optimization of Hybrid Transmission Shift Points Network Elements of a Telecommunication Service Provider in Nigeria
wanfang
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1