采用PROMETHEE和TOPSIS多准则决策方法对最优发电方案进行评价

Javeed Kittur
{"title":"采用PROMETHEE和TOPSIS多准则决策方法对最优发电方案进行评价","authors":"Javeed Kittur","doi":"10.1109/ICPACE.2015.7274921","DOIUrl":null,"url":null,"abstract":"In the present day scenario the energy demand is going on increasing. It is expensive to import electricity from the generation far from load centers because of the cost of power loss. It is therefore more economical to use electricity generated by local distributed generators. In this paper power generation from wind, Combined Heat Power (CHP) and utility for a complete day is considered. This paper proposes a method to evaluate the optimal generation of a particular day considering Analytic Hierarchy Process (AHP) method, Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) multi-criteria decision making technique. The results obtained by the multi-criteria evaluation using the presented method, gives the possibility of identification and evaluation of the optimal generation in a particular day.","PeriodicalId":6644,"journal":{"name":"2015 International Conference on Power and Advanced Control Engineering (ICPACE)","volume":"72 1","pages":"80-85"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Using the PROMETHEE and TOPSIS multi-criteria decision making methods to evaluate optimal generation\",\"authors\":\"Javeed Kittur\",\"doi\":\"10.1109/ICPACE.2015.7274921\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the present day scenario the energy demand is going on increasing. It is expensive to import electricity from the generation far from load centers because of the cost of power loss. It is therefore more economical to use electricity generated by local distributed generators. In this paper power generation from wind, Combined Heat Power (CHP) and utility for a complete day is considered. This paper proposes a method to evaluate the optimal generation of a particular day considering Analytic Hierarchy Process (AHP) method, Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) multi-criteria decision making technique. The results obtained by the multi-criteria evaluation using the presented method, gives the possibility of identification and evaluation of the optimal generation in a particular day.\",\"PeriodicalId\":6644,\"journal\":{\"name\":\"2015 International Conference on Power and Advanced Control Engineering (ICPACE)\",\"volume\":\"72 1\",\"pages\":\"80-85\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-09-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Power and Advanced Control Engineering (ICPACE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPACE.2015.7274921\",\"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 Power and Advanced Control Engineering (ICPACE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPACE.2015.7274921","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

摘要

在目前的情况下,能源需求正在不断增加。从远离负荷中心的发电厂进口电力,由于电力损失的成本,是昂贵的。因此,使用本地分布式发电机发电更为经济。本文考虑了风力发电、热电联产和公用事业的全天发电。本文提出了一种综合层次分析法(AHP)、富集评价偏好排序组织法(PROMETHEE)和理想解相似偏好排序法(TOPSIS)多准则决策技术的特定日最优发电评价方法。利用所提出的方法进行多准则评价的结果,为某一天的最优发电提供了识别和评价的可能性。
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
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Using the PROMETHEE and TOPSIS multi-criteria decision making methods to evaluate optimal generation
In the present day scenario the energy demand is going on increasing. It is expensive to import electricity from the generation far from load centers because of the cost of power loss. It is therefore more economical to use electricity generated by local distributed generators. In this paper power generation from wind, Combined Heat Power (CHP) and utility for a complete day is considered. This paper proposes a method to evaluate the optimal generation of a particular day considering Analytic Hierarchy Process (AHP) method, Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) multi-criteria decision making technique. The results obtained by the multi-criteria evaluation using the presented method, gives the possibility of identification and evaluation of the optimal generation in a particular day.
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
Asset management in smart grids using improved Dissolved Gas Analysis PLC based intelligent power factor correctors for industrial power systems-A case study A multiple environment dispatch problem solution using ant colony optimization for micro-grids Modeling, simulation and comparative study of new compound alloy based P-I-N solar cells - An efficient way of energy management Modeling and analysis of 6 pulse rectifier used in HVDC link
×
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