Proceeding of the 2024 International Conference on Diversified Education and Social Development (DESD 2024)

Cross Provincial and Cross Regional Spot Market Clearance Model Considering Total Output Control based on Big Data Analysis Technology

Authors
Baorui Cai1, *, Ziyu Chen1, Qinbiao Lin1, Yihong Deng2, Yanjie Liang1, Bo Zhao3
1Power Dispatching and Control Center, China Southern Power Grid Co., LTD., Huangpu District, Guangzhou, China, 510700
2HYDROLANCANG ENERGY SALES CO., LTD., Guandu District, Kunming, 650214, China
3Beijing QU Creative Technology Co., Ltd., Wangjing District, Beijing, 100102, China
*Corresponding author. Email: shpower20@126.com
Corresponding Author
Baorui Cai
Available Online 27 December 2024.
DOI
10.2991/978-2-38476-346-7_22How to use a DOI?
Keywords
spot market clearance model; big data analysis technology; Electricity Across
Abstract

The article analyzes existing cross-provincial and cross-regional electricity spot market clearing models. Then, aiming to minimize total generation cost and cross-provincial transmission cost, a clearing model for cross-provincial and cross-regional electricity spot markets is established. By integrating computer technology, big data analysis, and automation mechanical technology, a generation dispatching and transmission optimization strategy based on electricity market demand is proposed. The results show that: 1) With the total power control lower limit constraint, the clearing model can optimize the inter-provincial power transmission curve as much as possible to ensure positive inter-provincial imbalance. Combined with automation mechanical technology, real-time monitoring and dispatching of power transmission can be achieved, enhancing power transmission efficiency. Computers and big data can also be used for in-depth analysis and prediction of power transmission needs. 2) When the contracted electricity volume is the same, the curve shape has a limited impact on power return. Automation mechanical technology enables rapid collection and analysis of electricity market data, further optimizing the electricity spot market clearing model. Computers can process and store large amounts of data for more accurate analysis. 3) When the electricity price difference between Yunnan and Guangdong is negative, the lower the long-term contract electricity price, the higher the sender’s return. Big data analysis can help identify price trends and optimize decision-making.

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
Proceeding of the 2024 International Conference on Diversified Education and Social Development (DESD 2024)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
27 December 2024
ISBN
978-2-38476-346-7
ISSN
2352-5398
DOI
10.2991/978-2-38476-346-7_22How 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

TY  - CONF
AU  - Baorui Cai
AU  - Ziyu Chen
AU  - Qinbiao Lin
AU  - Yihong Deng
AU  - Yanjie Liang
AU  - Bo Zhao
PY  - 2024
DA  - 2024/12/27
TI  - Cross Provincial and Cross Regional Spot Market Clearance Model Considering Total Output Control based on Big Data Analysis Technology
BT  - Proceeding of the 2024 International Conference on Diversified Education and Social Development (DESD 2024)
PB  - Atlantis Press
SP  - 173
EP  - 184
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-346-7_22
DO  - 10.2991/978-2-38476-346-7_22
ID  - Cai2024
ER  -