Proceedings of the 2024 10th International Conference on Humanities and Social Science Research (ICHSSR 2024)

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Research on power generation’s declaration strategy of wind farm spot market considering forecasting error

Authors
Fei Zhao1, Jialin Dong1, *
1Department of Electric Engineering, North China Electric Power University, No.619 YongHua North Street, Baoding, 071003, China
*Corresponding author. Email: 443836648@qq.com
Corresponding Author
Jialin Dong
Available Online 2 September 2024.
DOI
10.2991/978-2-38476-277-4_151How to use a DOI?
Keywords
wind power prediction; wind farm; spot market; energy generation reporting strategy; bidding strategy coefficient
Abstract

With the acceleration of the construction of the power market, new energy sources such as wind power gradually begin to compete with traditional energy sources such as thermal power. In this paper, considering the deviation between the actual output of wind farms and the predicted power generation, and aiming at improving the overall income of wind farms in the spot market, the strategy of the wind farm's daily market power generation declaration is studied. The clearing models of the day-ahead market and the real-time market are derived, and the wind farm income function is integrated by combining the error penalty cost caused by the wind power prediction error. The bidding strategy for wind farm income maximization under different wind speed conditions is proposed. It is proved that this bidding strategy can increase the wind farm income by 6%.

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 2024 10th International Conference on Humanities and Social Science Research (ICHSSR 2024)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
2 September 2024
ISBN
978-2-38476-277-4
ISSN
2352-5398
DOI
10.2991/978-2-38476-277-4_151How 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  - Fei Zhao
AU  - Jialin Dong
PY  - 2024
DA  - 2024/09/02
TI  - Research on power generation’s declaration strategy of wind farm spot market considering forecasting error
BT  - Proceedings of the 2024 10th International Conference on Humanities and Social Science Research (ICHSSR 2024)
PB  - Atlantis Press
SP  - 1338
EP  - 1345
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-277-4_151
DO  - 10.2991/978-2-38476-277-4_151
ID  - Zhao2024
ER  -