Bi-Level Programming for Integrating Flexible Demand in Combined Smart Energy System

Yufei Xi, Thomas Hamacher, Vedran Peric, Zhe Chen, Henrik Lund

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In this paper, a gas-electricity-heat integrated energy system with smart buildings is described. The special focus is flexible energy demand including electricity and heat integrated into the smart buildings, where customers have multiple options to satisfy their energy demand. Considering energy prices in the market, the aggregator is introduced to manage these smart buildings in the most economical way. This paper proposes a bi-level programming approach for the integration of flexible demand in the combined smart energy system (CoSES). The integrated system operator (ISO) maximizes social welfare subject to the operation strategy of the aggregator, which minimizes the energy purchase cost of downstream demand. Then, the bi-level optimization problem is transformed into a tractable single-level problem by using the linearization method and the Karush-Kuhn- Tucker (KKT) conditions. The proposed approach is illustrated in a modified test system.

Original languageEnglish
Title of host publication2021 IEEE International Smart Cities Conference, ISC2 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665449199
DOIs
StatePublished - 7 Sep 2021
Event2021 IEEE International Smart Cities Conference, ISC2 2021 - Manchester, United Kingdom
Duration: 7 Sep 202110 Sep 2021

Publication series

Name2021 IEEE International Smart Cities Conference, ISC2 2021

Conference

Conference2021 IEEE International Smart Cities Conference, ISC2 2021
Country/TerritoryUnited Kingdom
CityManchester
Period7/09/2110/09/21

Keywords

  • bi-level optimization
  • dispatch model
  • district heating
  • flexibility
  • integrated energy system
  • smart building

Fingerprint

Dive into the research topics of 'Bi-Level Programming for Integrating Flexible Demand in Combined Smart Energy System'. Together they form a unique fingerprint.

Cite this