基于粒子群算法和价值指标法的变电站设计优化研究

Jinchao Li, H. Yang
{"title":"基于粒子群算法和价值指标法的变电站设计优化研究","authors":"Jinchao Li, H. Yang","doi":"10.12733/JICS20105571","DOIUrl":null,"url":null,"abstract":"In this paper, an combined evaluation process to evaluate the value of substation was proposed. Firstly, a substation function index system was established with consideration of the function structure and features of substation. Secondly, the Analytic Hierarchy Process (AHP) and entropy method were separately used to calculate the subjective and objective weights of the function indexes. Thirdly, the sum of squares of deviations method and Particle Swarm Optimization (PSO) method were used to get the function indexes’ combined weights. At last, the evaluation model was formed by function index compared with the cost index. The substation design data were used to test the evaluation model, the results showed it was feasible.","PeriodicalId":213716,"journal":{"name":"The Journal of Information and Computational Science","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Substation Design Optimization Research Based on PSO and Value Index Method\",\"authors\":\"Jinchao Li, H. Yang\",\"doi\":\"10.12733/JICS20105571\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, an combined evaluation process to evaluate the value of substation was proposed. Firstly, a substation function index system was established with consideration of the function structure and features of substation. Secondly, the Analytic Hierarchy Process (AHP) and entropy method were separately used to calculate the subjective and objective weights of the function indexes. Thirdly, the sum of squares of deviations method and Particle Swarm Optimization (PSO) method were used to get the function indexes’ combined weights. At last, the evaluation model was formed by function index compared with the cost index. The substation design data were used to test the evaluation model, the results showed it was feasible.\",\"PeriodicalId\":213716,\"journal\":{\"name\":\"The Journal of Information and Computational Science\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-03-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Journal of Information and Computational Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.12733/JICS20105571\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of Information and Computational Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12733/JICS20105571","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文提出了一种综合评价变电站价值的方法。首先,结合变电站的功能结构和特点,建立了变电站的功能指标体系。其次,分别采用层次分析法(AHP)和熵值法计算各功能指标的主客观权重;第三,采用偏差平方和法和粒子群优化(PSO)方法确定各功能指标的组合权值;最后,通过功能指标与成本指标的比较,建立了评价模型。利用变电站设计数据对评价模型进行了验证,结果表明该评价模型是可行的。
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
Substation Design Optimization Research Based on PSO and Value Index Method
In this paper, an combined evaluation process to evaluate the value of substation was proposed. Firstly, a substation function index system was established with consideration of the function structure and features of substation. Secondly, the Analytic Hierarchy Process (AHP) and entropy method were separately used to calculate the subjective and objective weights of the function indexes. Thirdly, the sum of squares of deviations method and Particle Swarm Optimization (PSO) method were used to get the function indexes’ combined weights. At last, the evaluation model was formed by function index compared with the cost index. The substation design data were used to test the evaluation model, the results showed it was feasible.
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
Geometrical gait based model for fall detection using thresholding Research of Spatial Data Query Optimization Methods Based on K-Nearest Neighbor Algorithm An Algebraic-trigonometric Blended Piecewise Curve Micro-expression Cognition and Emotion Modeling Based on Gross Reappraisal Strategy A Novel Cognitive Radio Decision Engine Based on Chaotic Quantum Bee Colony Algorithm
×
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