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: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

5 Citations (Scopus)


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.
Original languageEnglish
Title of host publicationCICED 2014 - 2014 China International Conference on Electricity Distribution, Proceedings
PublisherIEEE Computer Society
Number of pages5
ISBN (Electronic)9781479941261
Publication statusPublished - 1 Jan 2014
Event2014 6th China International Conference on Electricity Distribution, CICED 2014 - Shenzhen, China
Duration: 23 Sep 201426 Sep 2014


Conference2014 6th China International Conference on Electricity Distribution, CICED 2014


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

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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