Based on the Advanced Technology of the Southern Region “Point-to-Net” Power Plant Standby Market Trading Mechanism

Zhe Zhai; Yaping Hu; Quan Yuan; Zekun Zhuang; Bo Zhao

doi:10.2991/978-2-38476-346-7_23

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Based on the Advanced Technology of the Southern Region “Point-to-Net” Power Plant Standby Market Trading Mechanism

Authors

Zhe Zhai¹^{, *}, Yaping Hu¹, Quan Yuan¹, Zekun Zhuang², Bo Zhao³

¹Power Dispatching and Control Center, China Southern Power Grid Co., LTD., Huangpu District, Guangzhou, China, 510700

²Hainan Power Grid Co., Ltd. Ledong Power Supply Bureau, Ledong Li Autonomous County, Hainan, 572500, China

³Beijing QU Creative Technology Co., Ltd., Wangjing District, Beijing, 100102, China

^*Corresponding author. Email: shpower20@126.com

Corresponding Author

Zhe Zhai

Available Online 27 December 2024.

DOI: 10.2991/978-2-38476-346-7_23 How to use a DOI?
Keywords: Power Plant Standby; Market Trading; Mechanism
Abstract: With the continuous progress of new energy systems and the comprehensive and in-depth reform of China’s electricity market, the introduction of the electricity reserve market trading mechanism is extremely important. In this context, computer technology, big data analysis, automation, and mechanical innovation play significant roles. For instance, mechanical automation technology like intelligent grid technology can achieve efficient power dispatching and optimization configuration in the electricity reserve market. Unmanned aerial vehicle inspection systems can enhance the operation and maintenance efficiency of transmission lines, and fault prediction and health management technology can reduce the risk of system failures. Based on this, a status analysis of the “point-to-network” power plant trading entities in southern provinces is conducted, and compared with traditional reserve market trading mechanisms. By utilizing big data analysis and artificial intelligence technology for electricity market forecasting, stable supply and development of electricity energy can be achieved.
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_23 How to use a DOI?
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

ris enw bib

TY  - CONF
AU  - Zhe Zhai
AU  - Yaping Hu
AU  - Quan Yuan
AU  - Zekun Zhuang
AU  - Bo Zhao
PY  - 2024
DA  - 2024/12/27
TI  - Based on the Advanced Technology of the Southern Region “Point-to-Net” Power Plant Standby Market Trading Mechanism
BT  - Proceeding of the 2024 International Conference on Diversified Education and Social Development (DESD 2024)
PB  - Atlantis Press
SP  - 185
EP  - 195
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-346-7_23
DO  - 10.2991/978-2-38476-346-7_23
ID  - Zhai2024
ER  -

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