Small signal stability improvement via coordination of PSS's and SOFC power conditioner by PSO algorithm

M. Saidabadi, M. Abedi, H. Nafisi, A. Khorsandi
{"title":"Small signal stability improvement via coordination of PSS's and SOFC power conditioner by PSO algorithm","authors":"M. Saidabadi, M. Abedi, H. Nafisi, A. Khorsandi","doi":"10.1109/PSC49016.2019.9081451","DOIUrl":null,"url":null,"abstract":"The characteristics of fuel cell (FC) power generating system are basically different from the conventional synchronous generator. Their dynamic behavior is subjected by the specification of power conditioner and they do not have inertia. Therefore, it is important to investigate the effect of using solid oxide fuel cell (SOFC) generation on the power system dynamic performance. This paper surveys the impact of SOFC generation on the power system small signal stability in the presence of conventional generation units along with power system stabilizers (PSSs). Eigenvalue analysis and particle swarm optimization (PSO) algorithm are applied to tune the PSS parameters of conventional generator, power conditioner parameters of FC and power output of SOFC simultaneously in order to increase the small signal stability of power system.","PeriodicalId":359817,"journal":{"name":"2019 International Power System Conference (PSC)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Power System Conference (PSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PSC49016.2019.9081451","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The characteristics of fuel cell (FC) power generating system are basically different from the conventional synchronous generator. Their dynamic behavior is subjected by the specification of power conditioner and they do not have inertia. Therefore, it is important to investigate the effect of using solid oxide fuel cell (SOFC) generation on the power system dynamic performance. This paper surveys the impact of SOFC generation on the power system small signal stability in the presence of conventional generation units along with power system stabilizers (PSSs). Eigenvalue analysis and particle swarm optimization (PSO) algorithm are applied to tune the PSS parameters of conventional generator, power conditioner parameters of FC and power output of SOFC simultaneously in order to increase the small signal stability of power system.
通过PSO算法协调PSS和SOFC功率调节器提高小信号稳定性
燃料电池(FC)发电系统的特点与传统的同步发电机有本质的区别。它们的动力特性受调压器规格的制约,不具有惯性。因此,研究固体氧化物燃料电池发电对电力系统动态性能的影响具有重要意义。本文研究了在常规发电机组和电力系统稳定器存在的情况下,SOFC发电对电力系统小信号稳定性的影响。采用特征值分析和粒子群优化(PSO)算法对常规发电机的PSS参数、FC的功率调节器参数和SOFC的输出功率同时进行调整,以提高电力系统的小信号稳定性。
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
自引率
0.00%
发文量
0
×
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:481959085
Book学术官方微信