| Issue |
E3S Web Conf.
Volume 441, 2023
2023 International Conference on Clean Energy and Low Carbon Technologies (CELCT 2023)
|
|
|---|---|---|
| Article Number | 01016 | |
| Number of page(s) | 6 | |
| Section | Clean Energy Utilization and Energy Storage Technology | |
| DOI | https://doi.org/10.1051/e3sconf/202344101016 | |
| Published online | 07 November 2023 | |
Research on Investment Economic Evaluation of Flexible Regulating Resources such as Energy Storage in High Proportion New Energy Environment
1 State Grid Jilin Electric Power Co., Ltd. Economic and Technological Research Institute, No.1427 Pingquan Road, Nanguan District, 130062, China
2 North China Electric Power University, Beijing 102206, China
* Email: ZXiaoTong99@163.com
With a high percentage of new energy scenarios, it has become a trend for flexible resources such as energy storage systems to participate in long-term planning. In this context, it is important to explore how energy storage systems are configured. Therefore, it is necessary to analyse the economics of energy storage and other resources to ensure that investments in energy storage and other resources are economically valuable under different future models. This paper firstly analyses the current situation of a high percentage of new energy in China, and secondly constructs a model for analysing the economics of flexible regulation resources such as energy storage. Under partial data based on the scenery storage project, the economic analysis under four models is derived, including cost and benefit analysis, investment benefit analysis, and break-even point analysis. Finally, the economic evaluation of investment in energy storage projects under different models is summarized based on the calculation results.It is concluded that different scenario models have different economic benefits, and the operation capacity of the four scenarios is higher than that of the existing models.
© 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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