Two-layer Scheduling of Aggregated Electric Vehicles and Thermostatically Controlled Loads in Micro-grid

Yuechuan Tao, Guibin Wang, Xian Zhang, Shuying Lai, Yunqi Wang, Huichuan Liu, Jing Qiu

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

3 Citations (Scopus)

Abstract

This paper presents a hierarchical optimal dispatch of the electric vehicles (EVs) and thermostatically controlled loads (TCLs) in micro-grid. In the proposed framework, The EVs are aggregated as physical energy storage and the TCLs are aggregated as virtual energy storage. At the bottom level of the proposed model, aggregators optimize the dispatch of EVs and TCLs based on their individual information. At the top layer, wind power and thermal generators are centrally scheduled based on the conventional market-clearing model. The IEEE 30-bus system is used to verify the proposed framework. Simulation results reveal that the scalability issue of single-level centralized dispatch can be well addressed and reduce the emission in whole system. The combination of the EVs and the TCLs also brings economic benefits as well. © 2019 IEEE.
Original languageEnglish
Title of host publication2019 9th International Conference on Power and Energy Systems (ICPES)
PublisherIEEE
Number of pages6
ISBN (Electronic)9781728126586, 978-1-7281-2657-9
ISBN (Print)978-1-7281-2659-3
DOIs
Publication statusPublished - Dec 2019
Externally publishedYes
Event9th International Conference on Power and Energy Systems (ICPES 2019) - Perth, Australia
Duration: 10 Dec 201912 Dec 2019

Publication series

NameInternational Conference on Power and Energy Systems, ICPES

Conference

Conference9th International Conference on Power and Energy Systems (ICPES 2019)
Country/TerritoryAustralia
CityPerth
Period10/12/1912/12/19

Research Keywords

  • Electric vehicles (EVs)
  • emission
  • hierarchical dispatch
  • micro-grid
  • thermostatically controlled loads (TCLs)

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