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A hierarchical optimization framework for aggregating thermostatically controlled loads to minimize real-time thermal rating of overhead distribution lines

  • Haiming Wang
  • , Ke Meng
  • , Fengji Luo
  • , Zhao Yang Dong
  • , Zhao Xu
  • , K. P. Wong

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

Abstract

A hierarchical optimization algorithm is presented in this study to optimize the aggregated thermostatically controlled loads (TCLs) to ensure the thermal rating of distribution lines is not violated. The key objective of the upper-level model is to minimize the thermal temperature of distribution lines and ensure it within the thermal rating. Meanwhile, the lower-level model is intended to strictly follow the dispatch instructions from the upper-level decision-maker by designing appropriate dispatch strategies for each aggregated TCLs in a specific time horizon. The developed models are solved by two different optimization software tools. Finally, a 10 kV overhead distribution line is studied to demonstrate the performance of the developed model and methodology. © 2014 IEEE.
Original languageEnglish
Title of host publicationCICED 2014 - 2014 China International Conference on Electricity Distribution, Proceedings
PublisherIEEE Computer Society
Pages1769-1773
Volume2014-December
ISBN (Print)9781479941261
DOIs
Publication statusPublished - 18 Dec 2014
Externally publishedYes
Event2014 6th China International Conference on Electricity Distribution, CICED 2014 - Shenzhen, China
Duration: 23 Sept 201426 Sept 2014

Publication series

NameChina International Conference on Electricity Distribution, CICED
Volume2014-December
ISSN (Print)2161-7481
ISSN (Electronic)2161-749X

Conference

Conference2014 6th China International Conference on Electricity Distribution, CICED 2014
PlaceChina
CityShenzhen
Period23/09/1426/09/14

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

  • Bi-level programming
  • demand response
  • hierarchical
  • thermal inertia
  • zonal dispatching architecture

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