Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)

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Optimal scheduling of power systems with wind and solar power generation considering carbon trading and energy storage cost

Authors
Kai Guo1, *, Rulei Han1, Yuqiang Wang1, Chen Gao1, Kai Yin1
1Inner Mongolia Power (Group) Co., Ltd., Inner Mongolia Power Research Institute Branch, Hohhot, 010020, China
*Corresponding author. Email: 869563864@qq.com
Corresponding Author
Kai Guo
Available Online 9 October 2023.
DOI
10.2991/978-94-6463-262-0_34How to use a DOI?
Keywords
carbon trading; energy storage; optimization scheduling
Abstract

In the context of the sustainable development of low-carbon power, in order to reduce carbon emissions in the power generation process of the power industry, carbon trading mechanism is introduced into the power system optimization scheduling, and electric energy storage is introduced to improve the power system flexibility to promote the consumption of new energy. This paper firstly analyzes carbon trading cost model of thermal power unit. Then, an optimal scheduling model aiming at the lowest total cost is constructed, which comprehensively considers the conventional thermal power unit operation cost, energy storage operation cost, carbon trading cost, wind-photovoltaic operation cost and various system constraints. Finally, through the analysis of simulation examples, it is verified that energy storage and carbon trading can effectively optimize the energy structure and reduce the system carbon emissions.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)
Series
Atlantis Highlights in Engineering
Publication Date
9 October 2023
ISBN
10.2991/978-94-6463-262-0_34
ISSN
2589-4943
DOI
10.2991/978-94-6463-262-0_34How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Kai Guo
AU  - Rulei Han
AU  - Yuqiang Wang
AU  - Chen Gao
AU  - Kai Yin
PY  - 2023
DA  - 2023/10/09
TI  - Optimal scheduling of power systems with wind and solar power generation considering carbon trading and energy storage cost
BT  - Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)
PB  - Atlantis Press
SP  - 302
EP  - 310
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-262-0_34
DO  - 10.2991/978-94-6463-262-0_34
ID  - Guo2023
ER  -