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  • 标题:Modeling of a Prosumer in Intelligent Integrated Energy Systems
  • 本地全文:下载
  • 作者:Evgeny Barakhtenko ; Dmitry Sokolov ; Veronika Shelekhova
  • 期刊名称:E3S Web of Conferences
  • 印刷版ISSN:2267-1242
  • 电子版ISSN:2267-1242
  • 出版年度:2018
  • 卷号:39
  • 页码:1-6
  • DOI:10.1051/e3sconf/201839012004
  • 出版社:EDP Sciences
  • 摘要:The integration of many energy systems of various types (electricity, heat, cooling, etc.) into a single technological entity involves the use of new information and communication technologies and a holistic multi-level automated control system, which provides the establishment of integrated intelligent energy systems. In such systems, the consumer can both provide themselves with various types of energy, and supply energy into the energy system. The paper presents a methodology for modeling the prosumer in intelligent integrated energy systems. The methodology includes the following components: a mathematical model of the prosumer in intelligent electricity, heat/cooling systems; a method of choosing the energy sources to cover their load with minimal costs of electricity, heat/cooling generation. The methodology developed for modeling the prosumer in intelligent electric, heat/cooling systems was implemented in software. The presented results are tested on a test energy supply scheme.
  • 其他摘要:The integration of many energy systems of various types (electricity, heat, cooling, etc.) into a single technological entity involves the use of new information and communication technologies and a holistic multi-level automated control system, which provides the establishment of integrated intelligent energy systems. In such systems, the consumer can both provide themselves with various types of energy, and supply energy into the energy system. The paper presents a methodology for modeling the prosumer in intelligent integrated energy systems. The methodology includes the following components: a mathematical model of the prosumer in intelligent electricity, heat/cooling systems; a method of choosing the energy sources to cover their load with minimal costs of electricity, heat/cooling generation. The methodology developed for modeling the, prosumer in intelligent electric, heat/cooling systems was implemented in software. The presented results are tested on a test energy supply scheme.
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