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...
Saved in:
Published in | IEEE ... International Smart Cities Conference (Online) pp. 1 - 6 |
---|---|
Main Authors | , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
07.09.2021
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
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 |