| Issue |
E3S Web Conf.
Volume 439, 2023
2023 8th International Conference on Ecological Building and Green Building Material (EBGBM 2023)
|
|
|---|---|---|
| Article Number | 01010 | |
| Number of page(s) | 5 | |
| Section | Ecological Construction and Building Energy Saving Technology | |
| DOI | https://doi.org/10.1051/e3sconf/202343901010 | |
| Published online | 27 October 2023 | |
Optimization of Power Supply Structure Considering Carbon Emissions and Flexibility
1 Power grid planning and research center of Guangdong Power Grid Co., Ltd, Guangzhou 510062, China
2 Technical and economic consulting center of China Electricity Council construction, Beijing 100053, China
a 414925253@qq.com
b wuweijie@csg.cn
c 2393983570@qq.com
d* 28305478@qq.com
e 1990zhengxx@163.com
Against the backdrop of China’s promotion of green and low-carbon energy transformation, the large-scale and high-proportion development of new energy has made flexible regulation of power supply planning a key link in the flexible construction of the power system. Considering the balance of flexible supply and demand and minimizing carbon emissions, a mid to long-term collaborative planning model for electricity and flexibility is proposed. According to the planning principles of economic efficiency, clean environmental protection, and safety and reliability, a dynamic planning model was constructed to minimize the total cost of electricity production and carbon emissions in the entire society. Taking into account constraints such as carbon peaking goals and electricity balance, taking a certain region in China as an example, a flexible power supply structure optimization planning is carried out to solve carbon emission levels and system costs, output carbon peaking time, and optimal path plan.
© 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.
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.