科研成果详情

题名An integrated solution for optimal generation operation efficiency through dynamic economic dispatch
作者
发表日期2021
会议名称2020 International Symposium on Nanostructured and Advanced Materials
会议录名称Materials Today: Proceedings
ISSN2214-7853
卷号38
期号part 2
页码639-646
会议日期APR 30-MAY 03, 2020
会议地点Johannesburg, SOUTH AFRICA
摘要

We propose a total and intelligent solution for optimal demand management for energy efficiency under the new framework of true dynamic economic dispatch (DED) which integrates advanced metering, new modelling for demand, dynamic load dispatch and bidding strategy together. It involves the following essential modules. (i) Dynamic economic dispatch is a true dynamic optimization formulation. With real time measurements and both supply and demand modelling, the optimization will produce the optimal plant operation modes and settings which give the highest efficiency of the overall system and are fed back to the plants for execution. (ii) Dynamic sensing is real time sensing and data acquisition system to access the real operating status of the generation plant with measurement of relevant variables. The big data technology is adopted for construction of the overall hardware and software to store huge volume of plant and market data and perform fast off line modelling and design as well as on line real time control. (iii) Dynamic modelling is model building to forecast energy demands and generation over time. Under the DED, these modules are well integrated to work together and achieve an optimal demand management for maximum energy efficiency. Its solution, verification and field implementation are reported.

关键词Power generation Optimization AI Energy efficiency Demand modeling
DOI10.1016/j.matpr.2020.03.535
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收录类别CPCI-S
语种英语English
WOS研究方向Materials Science
WOS类目Materials Science, Multidisciplinary
WOS记录号WOS:000621180500028
引用统计
被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/4972
专题个人在本单位外知识产出
作者单位
1.Institute for Intelligent Systems, University of Johannesburg, South Africa
2.Power Automation, Singapore
3.YTL PowerSeraya, Singapore
推荐引用方式
GB/T 7714
Wang, Qingguo,Yu, Ming,Liu, Jidong. An integrated solution for optimal generation operation efficiency through dynamic economic dispatch[C], 2021: 639-646.
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