在不确定性和多标准条件下选择能源系统发展替代品的方法论方法

Q2 Social Sciences
A. Domnikov, M. Khodorovsky, L. Domnikova
{"title":"在不确定性和多标准条件下选择能源系统发展替代品的方法论方法","authors":"A. Domnikov, M. Khodorovsky, L. Domnikova","doi":"10.2495/eq-v7-n3-276-286","DOIUrl":null,"url":null,"abstract":"Power engineering is one of the most dynamic industries in the modern world; it applies specific production and management technologies and also assumes a complex structural transformation of power systems and transition of power engineering business to a qualitatively new level providing sustainable power supply. Within the context of existing situation, the electric power industry, which is currently actively developing, is an important element of power infrastructure that requires a long-term and con- tinuous solution of the challenges the industry faces. These are the circumstances of the development of methodological tools and decision-making procedures based on multi-criteria analysis, since the tasks of developing energy systems in modern conditions represent the most typical class of tasks where the problem of taking into account multi-criteria and uncertainty is most acute. The purpose of the study is to develop methods for the formation and comparison of options for the development of electric power systems in conditions of uncertainty and multi-criteria. The use of fuzzy set reporting models and new decision-making procedures based on fuzzy relations are proposed to address the development challenges. When addressing them, a considerable room for applying multi-criteria analysis algorithms to various aspects of the problem of power systems development in the fuzzy information environment was demonstrated. The results of the study are presented in the form of an analysis of the rational con- centration of power plant capacities, which made it possible to identify the most effective way to reduce the plant’s installed capacity while increasing the role of environmental criteria.","PeriodicalId":52236,"journal":{"name":"International Journal of Energy Production and Management","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Methodological approach to choosing alternatives for the development of energy systems in conditions of uncertainty and multi-criteria\",\"authors\":\"A. Domnikov, M. Khodorovsky, L. Domnikova\",\"doi\":\"10.2495/eq-v7-n3-276-286\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Power engineering is one of the most dynamic industries in the modern world; it applies specific production and management technologies and also assumes a complex structural transformation of power systems and transition of power engineering business to a qualitatively new level providing sustainable power supply. Within the context of existing situation, the electric power industry, which is currently actively developing, is an important element of power infrastructure that requires a long-term and con- tinuous solution of the challenges the industry faces. These are the circumstances of the development of methodological tools and decision-making procedures based on multi-criteria analysis, since the tasks of developing energy systems in modern conditions represent the most typical class of tasks where the problem of taking into account multi-criteria and uncertainty is most acute. The purpose of the study is to develop methods for the formation and comparison of options for the development of electric power systems in conditions of uncertainty and multi-criteria. The use of fuzzy set reporting models and new decision-making procedures based on fuzzy relations are proposed to address the development challenges. When addressing them, a considerable room for applying multi-criteria analysis algorithms to various aspects of the problem of power systems development in the fuzzy information environment was demonstrated. The results of the study are presented in the form of an analysis of the rational con- centration of power plant capacities, which made it possible to identify the most effective way to reduce the plant’s installed capacity while increasing the role of environmental criteria.\",\"PeriodicalId\":52236,\"journal\":{\"name\":\"International Journal of Energy Production and Management\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-08-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Energy Production and Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2495/eq-v7-n3-276-286\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Energy Production and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2495/eq-v7-n3-276-286","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 0

摘要

电力工程是现代世界最具活力的行业之一;它应用了特定的生产和管理技术,并承担了电力系统的复杂结构转型和电力工程业务向质的新水平的转变,以提供可持续的电力供应。在现有情况下,目前正在积极发展的电力行业是电力基础设施的重要组成部分,需要长期、持续地解决该行业面临的挑战。这些是基于多标准分析开发方法工具和决策程序的情况,因为在现代条件下开发能源系统的任务是最典型的一类任务,其中考虑多标准和不确定性的问题最为严重。本研究的目的是开发在不确定性和多标准条件下形成和比较电力系统发展方案的方法。为了应对发展挑战,提出了使用模糊集报告模型和基于模糊关系的新决策程序。在解决这些问题时,证明了在模糊信息环境中,将多准则分析算法应用于电力系统发展问题的各个方面有相当大的空间。研究结果以发电厂容量合理集中分析的形式呈现,这使得确定在增加环境标准作用的同时降低发电厂装机容量的最有效方法成为可能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Methodological approach to choosing alternatives for the development of energy systems in conditions of uncertainty and multi-criteria
Power engineering is one of the most dynamic industries in the modern world; it applies specific production and management technologies and also assumes a complex structural transformation of power systems and transition of power engineering business to a qualitatively new level providing sustainable power supply. Within the context of existing situation, the electric power industry, which is currently actively developing, is an important element of power infrastructure that requires a long-term and con- tinuous solution of the challenges the industry faces. These are the circumstances of the development of methodological tools and decision-making procedures based on multi-criteria analysis, since the tasks of developing energy systems in modern conditions represent the most typical class of tasks where the problem of taking into account multi-criteria and uncertainty is most acute. The purpose of the study is to develop methods for the formation and comparison of options for the development of electric power systems in conditions of uncertainty and multi-criteria. The use of fuzzy set reporting models and new decision-making procedures based on fuzzy relations are proposed to address the development challenges. When addressing them, a considerable room for applying multi-criteria analysis algorithms to various aspects of the problem of power systems development in the fuzzy information environment was demonstrated. The results of the study are presented in the form of an analysis of the rational con- centration of power plant capacities, which made it possible to identify the most effective way to reduce the plant’s installed capacity while increasing the role of environmental criteria.
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
International Journal of Energy Production and Management
International Journal of Energy Production and Management Social Sciences-Sociology and Political Science
CiteScore
2.20
自引率
0.00%
发文量
24
审稿时长
26 weeks
×
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