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
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ISSN | 2214-7853 |
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 |
DOI | 10.1016/j.matpr.2020.03.535 |
URL | 查看来源 |
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 | |
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. |
条目包含的文件 | 条目无相关文件。 |
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