| Issue |
E3S Web Conf.
Volume 385, 2023
2023 8th International Symposium on Energy Science and Chemical Engineering (ISESCE 2023)
|
|
|---|---|---|
| Article Number | 02017 | |
| Number of page(s) | 5 | |
| Section | Green Chemical Technology and Energy Saving and Emission Reduction | |
| DOI | https://doi.org/10.1051/e3sconf/202338502017 | |
| Published online | 04 May 2023 | |
Research on capacity allocation of optical storage system based on supply demand balance under the background of green power trading
College of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai, 200090, China
a* m13122400215@163.com
b* yangyongwen@vip.163.com
As a medium - and long-term trading variety, green power is settled based on the actual annual or monthly electricity consumption, without the need to decompose its own load curve. However, with the continuous advancement of the construction process of China’s spot market, medium - and long-term trading nature of green power trading cannot meet the trading requirements of the spot market on a time scale. Therefore, based on the existing capacity allocation model for optical storage joint systems, in order to achieve a high matching between the output curve, the declaration curve, and the load curve, this paper introduces the objective function of minimizing the net load variance to optimize the energy storage capacity, and verifies the scientificity of the model proposed in this paper through simulation.
© The Authors, published by EDP Sciences, 2023
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