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Evolutionary Intelligence
Published in: Evolutionary Intelligence 4/2022

06-03-2021 | Special Issue

Distributed optimal dispatch of integrated electricity and natural gas system considering the pipeline storage characteristics

Authors: Cuizhe Kuang, Meng Xiao, Zexing Chen, Jin Lu

Published in: Evolutionary Intelligence | Issue 4/2022

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Abstract

As an important form of multi-energy complementation, the integrated electricity and natural gas system (IEGS) is a new carrier for renewable energy accommodation. Firstly, based on the natural gas pipeline model, the buffer effect of natural gas pipeline storage characteristics in response to natural gas load fluctuations is analyzed. Then, considering the pipeline storage characteristics, a dad-ahead economic dispatch model for IEGSs with a high proportion of wind power is established. And the extreme scenario optimization method is used in this model to deal with the uncertainty of wind power. Furthermore, a distributed solutions method based on the Improved Alternating Direction Method of Multipliers is proposed to accelerate the convergence of distributed solutions. Cases studies are conducted on a modified IEEE 39-bus system and a Belgium 20-node natural gas system to verify the effectiveness of models and algorithms.
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Appendix
Available only for authorised users
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Metadata
Title
Distributed optimal dispatch of integrated electricity and natural gas system considering the pipeline storage characteristics
Authors
Cuizhe Kuang
Meng Xiao
Zexing Chen
Jin Lu
Publication date
06-03-2021
Publisher
Springer Berlin Heidelberg
Published in
Evolutionary Intelligence / Issue 4/2022
Print ISSN: 1864-5909
Electronic ISSN: 1864-5917
DOI
https://doi.org/10.1007/s12065-021-00584-z

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