Coordinated demand response of power-to-gas and flexgas technologies in integrated power and gas system to accommodate wind energy

Lingling Le, Xiaomeng Ai, Jiakun Fang*, Kaiwen Zeng, Menglin Zhang, Zhe Chen, Per G. Kristensen, Jinyu Wen

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

6 Citations (Scopus)

Abstract

Power-to-gas (P2G) provides a promising solution to accommodate wind power in recent years, which accelerates the integration of the power system and gas network, as well as the development of the integrated demand response. This study proposes a two-layer scheduling framework to coordinate P2G and FlexGas as demand response in the integrated power and gas system (IPGS) under wind power uncertainties. Firstly, the model for FlexGas technology is developed, enabling the end-users to switch between natural gas and electricity to produce heat. In the upper-layer optimisation, considering the optimal use of the linepack storage of the natural gas system, a two-stage stochastic scheduling model for the IPGS is established. In the lower-layer optimisation, the aggregated model reflecting the heterogeneity of the FlexGas users is derived. Simulation results on the integrated IEEE 39-bus power system and 27-node gas system show that the coordinated demand response can reduce the wind curtailment and improve economic efficiency for the IPGS. Moreover, the two-layer scheduling framework is validated to be effective and computationally efficient.

Original languageEnglish
JournalIET Renewable Power Generation
Volume14
Issue number17
Pages (from-to)3300-3308
Number of pages9
ISSN1752-1416
DOIs
Publication statusPublished - 14 Dec 2020

Bibliographical note

Funding Information:
This work was supported by Key-Area Research and Development Program of Guangdong Province under grant no. 2019B111109002, the National Natural Science Foundation of China (51707077), and the EUDP project Sustainable Energy Market Integration (SEMI, 12554).

Publisher Copyright:
© The Institution of Engineering and Technology 2020.

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