基于和谐搜索算法的互联系统facts - pod鲁棒有效调谐

Zinah S. Hasa, M. N. Hawas
{"title":"基于和谐搜索算法的互联系统facts - pod鲁棒有效调谐","authors":"Zinah S. Hasa, M. N. Hawas","doi":"10.1109/SICN47020.2019.9019346","DOIUrl":null,"url":null,"abstract":"This paper presents the Harmonic Search Algorithm (HSA) and Teaching-Learning-Based Optimization (TLBO) that are used to solve the tuning parameters of Proportional and Integral (PI) of the Power Oscillation Damping (POD) with Power System Stabilizer (PSS) which controller the Static Var Compensator (SVC) device. The fast acting of the SVC is able of improving both the steady state operation and overall performance of the networks to reach stabilization. The proposed system based on HSA and TLBO have been tested on IEEE 9 test system with SVC device. The approach system is compared with SVC only and traditional PI-POD. The parameters of traditional PI are adjusting by try and error method. The simulations results show the effectiveness of the proposed system in term of transient stability, damping oscillation and steady state operations as compared with other methods.","PeriodicalId":179575,"journal":{"name":"2019 4th Scientific International Conference Najaf (SICN)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Robust and Effective Tuning of FACTS-PODs of Interconnected Systems Using Harmony Search Algorithm\",\"authors\":\"Zinah S. Hasa, M. N. Hawas\",\"doi\":\"10.1109/SICN47020.2019.9019346\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the Harmonic Search Algorithm (HSA) and Teaching-Learning-Based Optimization (TLBO) that are used to solve the tuning parameters of Proportional and Integral (PI) of the Power Oscillation Damping (POD) with Power System Stabilizer (PSS) which controller the Static Var Compensator (SVC) device. The fast acting of the SVC is able of improving both the steady state operation and overall performance of the networks to reach stabilization. The proposed system based on HSA and TLBO have been tested on IEEE 9 test system with SVC device. The approach system is compared with SVC only and traditional PI-POD. The parameters of traditional PI are adjusting by try and error method. The simulations results show the effectiveness of the proposed system in term of transient stability, damping oscillation and steady state operations as compared with other methods.\",\"PeriodicalId\":179575,\"journal\":{\"name\":\"2019 4th Scientific International Conference Najaf (SICN)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 4th Scientific International Conference Najaf (SICN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SICN47020.2019.9019346\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 4th Scientific International Conference Najaf (SICN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SICN47020.2019.9019346","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

本文提出了谐波搜索算法(HSA)和基于教学的优化算法(TLBO),用于求解控制静态无功补偿器(SVC)装置的电力系统稳定器(PSS)功率振荡阻尼器(POD)的比例积分(PI)整定参数。SVC的快速作用可以改善网络的稳态运行和整体性能,从而达到稳定。基于HSA和TLBO的系统已在IEEE 9测试系统上进行了SVC设备的测试。将逼近系统与单纯的SVC和传统的PI-POD进行了比较。传统PI参数的调整采用试错法。仿真结果表明,与其他方法相比,该系统在暂态稳定性、阻尼振荡和稳态运行方面都是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust and Effective Tuning of FACTS-PODs of Interconnected Systems Using Harmony Search Algorithm
This paper presents the Harmonic Search Algorithm (HSA) and Teaching-Learning-Based Optimization (TLBO) that are used to solve the tuning parameters of Proportional and Integral (PI) of the Power Oscillation Damping (POD) with Power System Stabilizer (PSS) which controller the Static Var Compensator (SVC) device. The fast acting of the SVC is able of improving both the steady state operation and overall performance of the networks to reach stabilization. The proposed system based on HSA and TLBO have been tested on IEEE 9 test system with SVC device. The approach system is compared with SVC only and traditional PI-POD. The parameters of traditional PI are adjusting by try and error method. The simulations results show the effectiveness of the proposed system in term of transient stability, damping oscillation and steady state operations as compared with other methods.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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