Issue |
E3S Web Conf.
Volume 194, 2020
2020 5th International Conference on Advances in Energy and Environment Research (ICAEER 2020)
|
|
---|---|---|
Article Number | 01009 | |
Number of page(s) | 4 | |
Section | Energy Engineering and Energy Development and Utilization | |
DOI | https://doi.org/10.1051/e3sconf/202019401009 | |
Published online | 15 October 2020 |
Bidding strategy of pumped storage power station in spot market considering different optimization periods
1 School of Economics and Management, North China Electric Power University, Changping District, Beijing, China
2 State Grid Energy Research Institute Company Limited, Changping District, Beijing, China
3 Economic and Technical Research Institute, State Grid Zhejiang Electric Power Co., Ltd. Zhejiang, China
* Corresponding author: 18262308265@163.com
Pumped storage power station has multiple functions, such as alleviating the contradiction between peak and valley, to ensure the safe and economic operation of power grid. In the non market stage, pumped storage power stations mainly obey the system operator’s scheduling. In the market stage, pumped storage power stations in China are likely to participate in the competitive power market and provide peak power, frequency regualtion and recovery services. The paper studies the bidding strategies of the pumped storage power stations participating in the power market, and provides decision support for the pumped storage power stations to maximize market returns.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.