基于简化群算法的多机电力系统阻尼控制器设计

2014 IEEE International Conference on Computational Intelligence and Computing Research Pub Date : 2014-12-01 DOI:10.1109/ICCIC.2014.7238398

Baibhav Bishal, B. Soni, Akash Saxena, Vikas Gupta

{"title":"基于简化群算法的多机电力系统阻尼控制器设计","authors":"Baibhav Bishal, B. Soni, Akash Saxena, Vikas Gupta","doi":"10.1109/ICCIC.2014.7238398","DOIUrl":null,"url":null,"abstract":"This paper presents design of Power System Stabilizer (PSS) by using Simplified Swarm Optimization (SSO). PSS is a useful device to enhance the system damping and small signal stability of the power system. PSS design problem is an optimization problem. From the optimization process proper set of gain and time constants are calculated. Proper tuning of the parameters provides adequate amount of damping to the system. This paper presents a swarm based algorithm to address the above said optimization process. Objective function based on speed deviations is employed to calculate the parameters of PSSs of New England System (10 Generator & 39 Bus). To present a meaningful analysis the comparison of SSO is done with conventional optimization algorithms namely Particle Swarm optimization (PSO) and Genetic Algorithm (GA). Robustness of proposed method is tested over different type of perturbations, fault locations and loading conditions.","PeriodicalId":187874,"journal":{"name":"2014 IEEE International Conference on Computational Intelligence and Computing Research","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Design of damping controller for multimachine power system by using simplified swarm optimization\",\"authors\":\"Baibhav Bishal, B. Soni, Akash Saxena, Vikas Gupta\",\"doi\":\"10.1109/ICCIC.2014.7238398\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents design of Power System Stabilizer (PSS) by using Simplified Swarm Optimization (SSO). PSS is a useful device to enhance the system damping and small signal stability of the power system. PSS design problem is an optimization problem. From the optimization process proper set of gain and time constants are calculated. Proper tuning of the parameters provides adequate amount of damping to the system. This paper presents a swarm based algorithm to address the above said optimization process. Objective function based on speed deviations is employed to calculate the parameters of PSSs of New England System (10 Generator & 39 Bus). To present a meaningful analysis the comparison of SSO is done with conventional optimization algorithms namely Particle Swarm optimization (PSO) and Genetic Algorithm (GA). Robustness of proposed method is tested over different type of perturbations, fault locations and loading conditions.\",\"PeriodicalId\":187874,\"journal\":{\"name\":\"2014 IEEE International Conference on Computational Intelligence and Computing Research\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE International Conference on Computational Intelligence and Computing Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCIC.2014.7238398\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Conference on Computational Intelligence and Computing Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIC.2014.7238398","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 2

摘要

本文提出了一种基于简化群算法的电力系统稳定器设计方法。PSS是提高电力系统阻尼和小信号稳定性的有效装置。PSS设计问题是一个优化问题。从优化过程中计算出适当的增益和时间常数。适当调整参数可为系统提供足够的阻尼。本文提出了一种基于群体的算法来解决上述优化过程。采用基于速度偏差的目标函数计算新英系统(10发电机+ 39母线)的pss参数。将单点登录算法与粒子群算法和遗传算法进行了比较分析。测试了该方法在不同扰动类型、故障位置和载荷条件下的鲁棒性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Design of damping controller for multimachine power system by using simplified swarm optimization

This paper presents design of Power System Stabilizer (PSS) by using Simplified Swarm Optimization (SSO). PSS is a useful device to enhance the system damping and small signal stability of the power system. PSS design problem is an optimization problem. From the optimization process proper set of gain and time constants are calculated. Proper tuning of the parameters provides adequate amount of damping to the system. This paper presents a swarm based algorithm to address the above said optimization process. Objective function based on speed deviations is employed to calculate the parameters of PSSs of New England System (10 Generator & 39 Bus). To present a meaningful analysis the comparison of SSO is done with conventional optimization algorithms namely Particle Swarm optimization (PSO) and Genetic Algorithm (GA). Robustness of proposed method is tested over different type of perturbations, fault locations and loading conditions.

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

2014 IEEE International Conference on Computational Intelligence and Computing Research

自引率

0.00%

发文量