基于玻尔兹曼机的电力系统故障区段估计

T. Oyama
{"title":"基于玻尔兹曼机的电力系统故障区段估计","authors":"T. Oyama","doi":"10.1109/ANN.1993.264358","DOIUrl":null,"url":null,"abstract":"The fault section estimation problem can be formulated as a nonlinear integer optimization problem. The Boltzmann machine is applied to solve the problem. Since the objective function for the problem has the form of high order polynomial expression, an approximation is made so that the Boltzmann machine can be easily used for the problem. Another problem is to find out all solutions that have equal probability. The objective function is modified for solving the problem. As a result, for single and double fault cases, the Boltzmann machine with modified objective function works very well.<<ETX>>","PeriodicalId":121897,"journal":{"name":"[1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"38","resultStr":"{\"title\":\"Fault section estimation in power system using Boltzmann machine\",\"authors\":\"T. Oyama\",\"doi\":\"10.1109/ANN.1993.264358\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The fault section estimation problem can be formulated as a nonlinear integer optimization problem. The Boltzmann machine is applied to solve the problem. Since the objective function for the problem has the form of high order polynomial expression, an approximation is made so that the Boltzmann machine can be easily used for the problem. Another problem is to find out all solutions that have equal probability. The objective function is modified for solving the problem. As a result, for single and double fault cases, the Boltzmann machine with modified objective function works very well.<<ETX>>\",\"PeriodicalId\":121897,\"journal\":{\"name\":\"[1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-04-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"38\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ANN.1993.264358\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANN.1993.264358","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 38

摘要

故障区段估计问题可以表示为一个非线性整数优化问题。用玻尔兹曼机来解决这个问题。由于该问题的目标函数具有高阶多项式表达式的形式,因此可以进行近似,以便于玻尔兹曼机可以很容易地用于该问题。另一个问题是找出所有具有等概率的解。为了解决这一问题,对目标函数进行了修正。结果表明,在单故障和双故障情况下,改进目标函数的玻尔兹曼机都能很好地工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fault section estimation in power system using Boltzmann machine
The fault section estimation problem can be formulated as a nonlinear integer optimization problem. The Boltzmann machine is applied to solve the problem. Since the objective function for the problem has the form of high order polynomial expression, an approximation is made so that the Boltzmann machine can be easily used for the problem. Another problem is to find out all solutions that have equal probability. The objective function is modified for solving the problem. As a result, for single and double fault cases, the Boltzmann machine with modified objective function works very well.<>
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