Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)

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The Rolling Optimization Method for Medium and Long Term Contract Plan Taking into Account Dispatching Progress

Authors
Zhenyu Ren1, Xuan Li1, Feng Liu2, Mengli Zhao2, Fengjiao Xu2, *
1Inner Mongolia Power (Group) Co., Ltd Hohehot, Inner Mongolia Autonomous Region, 010000, Hohehot, China
2Beijing Tsintergy Technology Co. Ltd., 100084, Beijing, China
*Corresponding author. Email: xufj@tsintergy.com
Corresponding Author
Fengjiao Xu
Available Online 20 December 2022.
DOI
10.2991/978-94-6463-030-5_164How to use a DOI?
Keywords
Power Generation Plan; Security Constraints; Contract Decomposition; Linear Programming; Power Dispatch
Abstract

The annual contract decomposition and monthly contract rolling plan is one of the core businesses in the power grid dispatching department. The scientific and reasonable rolling decomposition of contract is not only an important guarantee for the economic operation of the power system, but also provides a space for the smooth trading of electric power and the maximization of renewable energy consumption. In this paper, we propose a rolling adjustment method for medium and long-term contract plan taking into account the deviations of the dispatching progress. This method is based on the equilibrium progress decomposition strategy for annual contract. Then we construct a rolling correction mathematical model while satisfying the requirement for deviation between the monthly cumulative power generation progress and the overall progress. It has achieved optimal adjustment of the medium and long-term contract plan and the generation scheduling of each thermal power plant, while ensuring the full consumption of renewable energy. Finally, taking the data provided by the provincial power grid as an example, the validity of the model is verified by the solution method of linear programming.

Copyright
© 2023 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 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
20 December 2022
ISBN
10.2991/978-94-6463-030-5_164
ISSN
2589-4919
DOI
10.2991/978-94-6463-030-5_164How to use a DOI?
Copyright
© 2023 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  - Zhenyu Ren
AU  - Xuan Li
AU  - Feng Liu
AU  - Mengli Zhao
AU  - Fengjiao Xu
PY  - 2022
DA  - 2022/12/20
TI  - The Rolling Optimization Method for Medium and Long Term Contract Plan Taking into Account Dispatching Progress
BT  - Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)
PB  - Atlantis Press
SP  - 1623
EP  - 1629
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-030-5_164
DO  - 10.2991/978-94-6463-030-5_164
ID  - Ren2022
ER  -