| Issue |
E3S Web Conf.
Volume 385, 2023
2023 8th International Symposium on Energy Science and Chemical Engineering (ISESCE 2023)
|
|
|---|---|---|
| Article Number | 02002 | |
| Number of page(s) | 5 | |
| Section | Green Chemical Technology and Energy Saving and Emission Reduction | |
| DOI | https://doi.org/10.1051/e3sconf/202338502002 | |
| Published online | 04 May 2023 | |
Reserve Demand Determination Method Considering the Different Time Periods Uncertainty of Wind and Solar
1 North China Electric Power University, Beijing, China
2 North China Electric Power University, Beijing, China
3 North China Electric Power University, Beijing, China
4 East China Branch of State Grid Corporation of China, Shanghai, China
5 East China Branch of State Grid Corporation of China, Shanghai, China
6 East China Branch of State Grid Corporation of China, Shanghai, China
a* email: Siyuhao2751@163.com
b email: 1312641427@qq.com
c email: chenzhe0904@163.com
d email: song_bb@ec.sgcc.com.cn
e email: chen_xy@ec.sgcc.com.cn
f email: teng_xb@ec.sgcc.com.cn
With the gradual realization of China’s 14th Five-Year Plan, the proportion of installed renewable energy capacity in all regions has increased significantly. The access of a high proportion of renewable energy has brought serious challenges to the safe and stable operation of the power system. The uncertainty of wind power and photovoltaic output makes it difficult for the traditional reserve demand determination method to economically and effectively calculate the reserve capacity required by the system, so it is urgent to propose a reasonable reserve capacity demand determination method. On the one hand, it ensures that the deserve capacity needed by the system is sufficient to cope with real-time active fluctuations, and on the other hand, it improves the economy of the reserve capacity. The reserve demand determination method considering the different time periods uncertainty of wind and solar in this paper is able to meet the reserve demand of new power system. At last, the article proves the benefits of Reserve Demand Determination Method through a numerical example.
© The Authors, published by EDP Sciences, 2023
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.
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