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

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 p...

Full description

Saved in:
Bibliographic Details
Published inIEEE ... International Smart Cities Conference (Online) pp. 1 - 6
Main Authors Xi, Yufei, Hamacher, Thomas, Peric, Vedran, Chen, Zhe, Lund, Henrik
Format Conference Proceeding
LanguageEnglish
Published IEEE 07.09.2021
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary: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.
ISSN:2687-8860
DOI:10.1109/ISC253183.2021.9562967