收缩因子对基于粒子群优化的传输功率损耗最小化的影响

R. P. Patwardhan, S. Mhetre
{"title":"收缩因子对基于粒子群优化的传输功率损耗最小化的影响","authors":"R. P. Patwardhan, S. Mhetre","doi":"10.1109/ICESA.2015.7503330","DOIUrl":null,"url":null,"abstract":"In this paper power system network is optimized using Particle Swarm Optimization technique (PSO) considering transmission loss function as problem objective. Specified bus voltage is the system constraint while formulating the problem. Load flow study is carried out using Newton Raphson method (NR method) accompanied by Particle Swarm optimization technique for IEEE-14 and IEEE-30 test bus system. On the basis of result for voltage and phase angle at each bus, PSO technique gives more accurate and efficient result than Newton Raphson method. Also to find out minimum transmission power loss calculation for line flows and losses are carried out for IEEE-14 and IEEE-30 test bus systems, Particle Swarm Optimization technique produces more efficient result than Newton Raphson method. Effect of constriction factor on the rate of convergence, has been shown by plotting a graph for both test systems.","PeriodicalId":259816,"journal":{"name":"2015 International Conference on Energy Systems and Applications","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Effect of constriction factor on minimization of transmission power loss using Particle Swarm Optimization\",\"authors\":\"R. P. Patwardhan, S. Mhetre\",\"doi\":\"10.1109/ICESA.2015.7503330\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper power system network is optimized using Particle Swarm Optimization technique (PSO) considering transmission loss function as problem objective. Specified bus voltage is the system constraint while formulating the problem. Load flow study is carried out using Newton Raphson method (NR method) accompanied by Particle Swarm optimization technique for IEEE-14 and IEEE-30 test bus system. On the basis of result for voltage and phase angle at each bus, PSO technique gives more accurate and efficient result than Newton Raphson method. Also to find out minimum transmission power loss calculation for line flows and losses are carried out for IEEE-14 and IEEE-30 test bus systems, Particle Swarm Optimization technique produces more efficient result than Newton Raphson method. Effect of constriction factor on the rate of convergence, has been shown by plotting a graph for both test systems.\",\"PeriodicalId\":259816,\"journal\":{\"name\":\"2015 International Conference on Energy Systems and Applications\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Energy Systems and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICESA.2015.7503330\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Energy Systems and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICESA.2015.7503330","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

摘要

本文以输电损失函数为问题目标,采用粒子群优化技术对电网进行优化。在制定问题时,指定母线电压是系统的约束条件。采用Newton Raphson法(NR法)结合粒子群优化技术对IEEE-14和IEEE-30测试母线系统进行了负荷流研究。基于各母线电压和相位角的计算结果,粒子群算法比牛顿-拉夫森方法更准确、更高效。同时,针对IEEE-14和IEEE-30测试母线系统进行了线流和损耗的最小传输功率损耗计算,粒子群优化技术的结果比牛顿-拉夫森方法更有效。收缩因子对收敛速度的影响,已通过绘制两个测试系统的图来说明。
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
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Effect of constriction factor on minimization of transmission power loss using Particle Swarm Optimization
In this paper power system network is optimized using Particle Swarm Optimization technique (PSO) considering transmission loss function as problem objective. Specified bus voltage is the system constraint while formulating the problem. Load flow study is carried out using Newton Raphson method (NR method) accompanied by Particle Swarm optimization technique for IEEE-14 and IEEE-30 test bus system. On the basis of result for voltage and phase angle at each bus, PSO technique gives more accurate and efficient result than Newton Raphson method. Also to find out minimum transmission power loss calculation for line flows and losses are carried out for IEEE-14 and IEEE-30 test bus systems, Particle Swarm Optimization technique produces more efficient result than Newton Raphson method. Effect of constriction factor on the rate of convergence, has been shown by plotting a graph for both test systems.
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
期刊最新文献
Performance assessment of steel reheating furnace GREEN SOLUTION (GS): A new initiative for Energy Efficient Computing where Humans and Machines work together Ingenious energy monitoring, control and management of electrical supply Smart parking management system using RFID and OCR MLP-neural network based detection and classification of Power Quality Disturbances
×
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学术文献互助
Book学术文献互助群
群 号:481959085
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