用梯度下降法寻找在vver-1000的NPP下的最佳功率控制方案

S. Pelykh, E. A. Odrehovska, O. Maksymova
{"title":"用梯度下降法寻找在vver-1000的NPP下的最佳功率控制方案","authors":"S. Pelykh, E. A. Odrehovska, O. Maksymova","doi":"10.15673/ATBP.V8I3.567","DOIUrl":null,"url":null,"abstract":"This article is regarded to the search for the best power control program at nuclear power plant (NPP) with VVER-1000 by gradient descent method for the objective function, which includes the criteria of efficiency, safety and Criteria normalization to the maximum value is carried out when looking for the minimum of the objective function because criteria have different physical nature. There were chosen such objective criteria as depth of fuel burn-up, index of the fuel cladding damage and axial offset - the ratio of the energy at the top and bottom of the reactor core.","PeriodicalId":408761,"journal":{"name":"Automation Technological and Business-Processes","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"SEARCH FOR THE BEST POWER CONTROL PROGRAM AT NPP WITH VVER-1000 USING GRADIENT DESCENT METHOD\",\"authors\":\"S. Pelykh, E. A. Odrehovska, O. Maksymova\",\"doi\":\"10.15673/ATBP.V8I3.567\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article is regarded to the search for the best power control program at nuclear power plant (NPP) with VVER-1000 by gradient descent method for the objective function, which includes the criteria of efficiency, safety and Criteria normalization to the maximum value is carried out when looking for the minimum of the objective function because criteria have different physical nature. There were chosen such objective criteria as depth of fuel burn-up, index of the fuel cladding damage and axial offset - the ratio of the energy at the top and bottom of the reactor core.\",\"PeriodicalId\":408761,\"journal\":{\"name\":\"Automation Technological and Business-Processes\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-09-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Automation Technological and Business-Processes\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.15673/ATBP.V8I3.567\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Automation Technological and Business-Processes","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15673/ATBP.V8I3.567","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

本文研究了用梯度下降法寻找VVER-1000核电厂最佳功率控制方案的目标函数,目标函数包括效率准则、安全准则和由于准则的物理性质不同,在寻找目标函数的最小值时,将准则归一化到最大值。选择了诸如燃料燃烧深度、燃料包壳损伤指数和轴向偏移——反应堆堆芯顶部和底部能量的比率等客观标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SEARCH FOR THE BEST POWER CONTROL PROGRAM AT NPP WITH VVER-1000 USING GRADIENT DESCENT METHOD
This article is regarded to the search for the best power control program at nuclear power plant (NPP) with VVER-1000 by gradient descent method for the objective function, which includes the criteria of efficiency, safety and Criteria normalization to the maximum value is carried out when looking for the minimum of the objective function because criteria have different physical nature. There were chosen such objective criteria as depth of fuel burn-up, index of the fuel cladding damage and axial offset - the ratio of the energy at the top and bottom of the reactor core.
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
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信