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Optimal energy hub configuration considering integrated demand response

  • Pengcheng Cui
  • , Junyi Shi
  • , Fushuan Wen*
  • , Lei Sun
  • , Zhaoyang Dong
  • , Yu Zheng
  • , Rui Zhang
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Energy hub which accommodates various forms of energy source and different types of load is the important part of multi-energy system and the optimal configuration of the type and capacity of its devices is the basis for ensuring its safe and economic operation. Furthermore, the continuous development of demand response mechanism and technology imposes new requirements for this optimal configuration. Different device models of energy hub are introduced, the properties of cooling, heating and power loads are analyzed, and their models are built respectively. Based on the load curves of typical days, an 0-1 mixedinteger linear programming model is established, which considers the integrated demand response and the operating constraints of energy hub, and takes the minimum annual operational expense as its optimization objective, including installation cost, operation-maintenance cost and energy consumption cost. Case study demonstrates that, based on the proposed model, the annual operational expense of energy hub is significantly reduced. © 2017, Electric Power Automation Equipment Press. All right reserved.
Original languageEnglish
Pages (from-to)101-109
Journal电力自动化设备
Volume37
Issue number6
DOIs
Publication statusPublished - 10 Jun 2017
Externally publishedYes

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Research Keywords

  • Cooling, heating and power loads
  • Energy hub
  • Integrated demand response
  • Multi-energy system
  • Optimal configuration

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