基于能源消费结构的综合能量流优化模型

Tao Wang, Shuai Tang, Xuefei Liu, Guangyi Li, Tong Zhao, P. Sun
{"title":"基于能源消费结构的综合能量流优化模型","authors":"Tao Wang, Shuai Tang, Xuefei Liu, Guangyi Li, Tong Zhao, P. Sun","doi":"10.1109/ICICAS48597.2019.00050","DOIUrl":null,"url":null,"abstract":"Under the bottleneck situation of traditional energy development, we should make full use of sustainable new energy supply and social consumption. The new energy system is composed of many types of independent power generation systems. The efficiency, quality and time cycle of energy conversion sources are different, which leads to different energy consumption pricing. Customers' consumption behavior will consider their demand and market price to use energy reasonably, which also causes the trend change of power grid energy trend. This paper focuses on the analysis of energy consumption structure model under the new situation, so as to guide and judge the development trend of power trend. This paper analyzes the structural factors of energy consumption that can affect the change of energy flow, extracts the important influencing factors. As the limiting conditions in the optimization model, uses the fast decomposition power flow analysis algorithm to build a comprehensive energy model. Provides more accurate decision-making for energy development and distribution through online calculation of real-time data.","PeriodicalId":409693,"journal":{"name":"2019 International Conference on Intelligent Computing, Automation and Systems (ICICAS)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comprehensive Energy flow Optimization Model Based on Energy Consumption Structure\",\"authors\":\"Tao Wang, Shuai Tang, Xuefei Liu, Guangyi Li, Tong Zhao, P. Sun\",\"doi\":\"10.1109/ICICAS48597.2019.00050\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Under the bottleneck situation of traditional energy development, we should make full use of sustainable new energy supply and social consumption. The new energy system is composed of many types of independent power generation systems. The efficiency, quality and time cycle of energy conversion sources are different, which leads to different energy consumption pricing. Customers' consumption behavior will consider their demand and market price to use energy reasonably, which also causes the trend change of power grid energy trend. This paper focuses on the analysis of energy consumption structure model under the new situation, so as to guide and judge the development trend of power trend. This paper analyzes the structural factors of energy consumption that can affect the change of energy flow, extracts the important influencing factors. As the limiting conditions in the optimization model, uses the fast decomposition power flow analysis algorithm to build a comprehensive energy model. Provides more accurate decision-making for energy development and distribution through online calculation of real-time data.\",\"PeriodicalId\":409693,\"journal\":{\"name\":\"2019 International Conference on Intelligent Computing, Automation and Systems (ICICAS)\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Intelligent Computing, Automation and Systems (ICICAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICAS48597.2019.00050\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Intelligent Computing, Automation and Systems (ICICAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICAS48597.2019.00050","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

在传统能源发展瓶颈的情况下,应充分利用可持续的新能源供给和社会消费。新能源系统由多种类型的独立发电系统组成。能源转换源的效率、质量和时间周期不同,导致能源消费定价不同。用户的消费行为会考虑自己的需求和市场价格来合理使用能源,这也导致电网能源趋势的趋势变化。本文重点分析了新形势下的能源消费结构模型,以指导和判断电力趋势的发展趋势。本文分析了影响能量流变化的能源消费结构因素,提炼出重要的影响因素。作为优化模型中的极限条件,采用快速分解潮流分析算法构建综合能量模型。通过实时数据的在线计算,为能源开发和分配提供更准确的决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comprehensive Energy flow Optimization Model Based on Energy Consumption Structure
Under the bottleneck situation of traditional energy development, we should make full use of sustainable new energy supply and social consumption. The new energy system is composed of many types of independent power generation systems. The efficiency, quality and time cycle of energy conversion sources are different, which leads to different energy consumption pricing. Customers' consumption behavior will consider their demand and market price to use energy reasonably, which also causes the trend change of power grid energy trend. This paper focuses on the analysis of energy consumption structure model under the new situation, so as to guide and judge the development trend of power trend. This paper analyzes the structural factors of energy consumption that can affect the change of energy flow, extracts the important influencing factors. As the limiting conditions in the optimization model, uses the fast decomposition power flow analysis algorithm to build a comprehensive energy model. Provides more accurate decision-making for energy development and distribution through online calculation of real-time data.
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