• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

基于入侵杂草优化算法的静止同步串联补偿器阻尼控制器设计

Design of static synchronous series compensator based damping controller employing invasive weed optimization algorithm.

作者信息

Ahmed Ashik, Al-Amin Rasheduzzaman, Amin Ruhul

机构信息

EEE Department, Islamic University of Technology, Board Bazar, Bangladesh.

ETE Department, International Islamic University, Chittagong, Bangladesh.

出版信息

Springerplus. 2014 Jul 30;3:394. doi: 10.1186/2193-1801-3-394. eCollection 2014.

DOI:10.1186/2193-1801-3-394
PMID:25140288
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4137048/
Abstract

This paper proposes designing of Static Synchronous Series Compensator (SSSC) based damping controller to enhance the stability of a Single Machine Infinite Bus (SMIB) system by means of Invasive Weed Optimization (IWO) technique. Conventional PI controller is used as the SSSC damping controller which takes rotor speed deviation as the input. The damping controller parameters are tuned based on time integral of absolute error based cost function using IWO. Performance of IWO based controller is compared to that of Particle Swarm Optimization (PSO) based controller. Time domain based simulation results are presented and performance of the controllers under different loading conditions and fault scenarios is studied in order to illustrate the effectiveness of the IWO based design approach.

摘要

本文提出基于入侵杂草优化（IWO）技术设计基于静止同步串联补偿器（SSSC）的阻尼控制器，以提高单机无穷大母线（SMIB）系统的稳定性。传统PI控制器用作SSSC阻尼控制器，其以转子速度偏差作为输入。使用IWO基于绝对误差成本函数的时间积分对阻尼控制器参数进行调整。将基于IWO的控制器性能与基于粒子群优化（PSO）的控制器性能进行比较。给出了基于时域的仿真结果，并研究了不同负载条件和故障情况下控制器的性能，以说明基于IWO的设计方法的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4527/4137048/69976655512a/40064_2013_1119_Fig21_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4527/4137048/ef0825d8e31b/40064_2013_1119_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4527/4137048/239421eb793b/40064_2013_1119_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4527/4137048/ad1ca90924cc/40064_2013_1119_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4527/4137048/ee4350fe00ac/40064_2013_1119_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4527/4137048/e54391e766dd/40064_2013_1119_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4527/4137048/80e997a5e857/40064_2013_1119_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4527/4137048/6bd3c43ff3b1/40064_2013_1119_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4527/4137048/15efd6529578/40064_2013_1119_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4527/4137048/916de4f3134e/40064_2013_1119_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4527/4137048/68d5c68ee678/40064_2013_1119_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4527/4137048/a277df563f1a/40064_2013_1119_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4527/4137048/8e03b19c9a5c/40064_2013_1119_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4527/4137048/b99bbfb52667/40064_2013_1119_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4527/4137048/45ed1e58f882/40064_2013_1119_Fig14_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4527/4137048/e1c1b1ebdae1/40064_2013_1119_Fig15_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4527/4137048/fd5617d96568/40064_2013_1119_Fig16_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4527/4137048/80a382db93ca/40064_2013_1119_Fig17_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4527/4137048/7c053cb76de7/40064_2013_1119_Fig18_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4527/4137048/f78b1f73fec8/40064_2013_1119_Fig19_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4527/4137048/162493e02f28/40064_2013_1119_Fig20_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4527/4137048/69976655512a/40064_2013_1119_Fig21_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4527/4137048/ef0825d8e31b/40064_2013_1119_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4527/4137048/239421eb793b/40064_2013_1119_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4527/4137048/ad1ca90924cc/40064_2013_1119_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4527/4137048/ee4350fe00ac/40064_2013_1119_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4527/4137048/e54391e766dd/40064_2013_1119_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4527/4137048/80e997a5e857/40064_2013_1119_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4527/4137048/6bd3c43ff3b1/40064_2013_1119_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4527/4137048/15efd6529578/40064_2013_1119_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4527/4137048/916de4f3134e/40064_2013_1119_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4527/4137048/68d5c68ee678/40064_2013_1119_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4527/4137048/a277df563f1a/40064_2013_1119_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4527/4137048/8e03b19c9a5c/40064_2013_1119_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4527/4137048/b99bbfb52667/40064_2013_1119_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4527/4137048/45ed1e58f882/40064_2013_1119_Fig14_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4527/4137048/e1c1b1ebdae1/40064_2013_1119_Fig15_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4527/4137048/fd5617d96568/40064_2013_1119_Fig16_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4527/4137048/80a382db93ca/40064_2013_1119_Fig17_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4527/4137048/7c053cb76de7/40064_2013_1119_Fig18_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4527/4137048/f78b1f73fec8/40064_2013_1119_Fig19_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4527/4137048/162493e02f28/40064_2013_1119_Fig20_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4527/4137048/69976655512a/40064_2013_1119_Fig21_HTML.jpg

相似文献

1
Design of static synchronous series compensator based damping controller employing invasive weed optimization algorithm.基于入侵杂草优化算法的静止同步串联补偿器阻尼控制器设计
Springerplus. 2014 Jul 30;3:394. doi: 10.1186/2193-1801-3-394. eCollection 2014.
2
Multi-Input Single Output SSSC based damping controller design by a hybrid Improved Differential Evolution-Pattern Search approach.基于混合改进差分进化-模式搜索算法的多输入单输出 SSSC 阻尼控制器设计。
ISA Trans. 2015 Sep;58:173-85. doi: 10.1016/j.isatra.2015.03.012. Epub 2015 Apr 8.
3
Optimal damping for generalized unified power flow controller equipped single machine infinite bus system for addressing low frequency oscillation.用于解决低频振荡的配备广义统一潮流控制器的单机无穷大系统的最优阻尼
ISA Trans. 2021 Oct;116:97-112. doi: 10.1016/j.isatra.2021.01.031. Epub 2021 Jan 28.
4
Application of polynomial control to design a robust oscillation-damping controller in a multimachine power system.多项式控制在多机电力系统中设计鲁棒振荡阻尼控制器的应用。
ISA Trans. 2015 Nov;59:343-53. doi: 10.1016/j.isatra.2015.09.005. Epub 2015 Sep 26.
5
Optimal SSSC-based power damping inter-area oscillations using firefly and harmony search algorithms.基于最优SSSC利用萤火虫算法与和声搜索算法抑制区域间振荡
Sci Rep. 2020 Jul 22;10(1):12176. doi: 10.1038/s41598-020-69123-7.
6
Transient stability increase of multi-machine power system by using SSSC and DFIG control with TEF technique and super twisting differentiator.采用 SSSC 和 DFIG 控制、TEF 技术和超扭曲微分器提高多机电力系统的暂态稳定性。
ISA Trans. 2023 May;136:390-399. doi: 10.1016/j.isatra.2022.11.008. Epub 2022 Nov 15.
7
Optimal design of proportional-integral controllers for stand-alone solid oxide fuel cell power plant using differential evolution algorithm.基于差分进化算法的独立式固体氧化物燃料电池发电站比例积分控制器的优化设计
Springerplus. 2016 Mar 31;5:383. doi: 10.1186/s40064-016-2025-8. eCollection 2016.
8
Adaptive PI controller to voltage regulation in power systems: STATCOM as a case study.电力系统中用于电压调节的自适应PI控制器：以静止同步补偿器为例
ISA Trans. 2017 Jan;66:325-334. doi: 10.1016/j.isatra.2016.09.027. Epub 2016 Nov 25.
9
Maiden application of mountaineering team-based optimization algorithm optimized 1PD-PI controller for load frequency control in islanded microgrid with renewable energy sources.基于登山队的优化算法首次应用于优化含可再生能源的孤岛微电网负荷频率控制的1PD-PI控制器。
Sci Rep. 2024 Oct 1;14(1):22851. doi: 10.1038/s41598-024-74051-x.
10
Model based PI power system stabilizer design for damping low frequency oscillations in power systems.基于模型的 PI 电力系统稳定器设计，用于阻尼电力系统中的低频振荡。
ISA Trans. 2018 May;76:110-121. doi: 10.1016/j.isatra.2018.03.013. Epub 2018 Mar 26.

引用本文的文献

1
Computation of robustly stabilizing PID controllers for interval systems.区间系统鲁棒稳定PID控制器的计算
Springerplus. 2016 May 20;5(1):702. doi: 10.1186/s40064-016-2341-z. eCollection 2016.