@Article{ee.2025.064317,
AUTHOR = {Jiaqing Wang, Yuming Shen, Xuli Wang, Jiayin Xu},
TITLE = {An Energy Storage Planning Method Based on the Vine Copula Model with High Percentage of New Energy Consumption},
JOURNAL = {Energy Engineering},
VOLUME = {122},
YEAR = {2025},
NUMBER = {7},
PAGES = {2751--2766},
URL = {http://www.techscience.com/energy/v122n7/62676},
ISSN = {1546-0118},
ABSTRACT = {To adapt to the uncertainty of new energy, increase new energy consumption, and reduce carbon emissions, a high-voltage distribution network energy storage planning model based on robustness-oriented planning and distributed new energy consumption is proposed. Firstly, the spatio-temporal correlation of large-scale wind-photovoltaic energy is modeled based on the Vine Copula model, and the spatial correlation of the generated wind-photovoltaic power generation is corrected to get the spatio-temporal correlation of wind-photovoltaic power generation scenarios. Finally, considering the subsequent development of new energy on demand for high-voltage distribution network peaking margin and the economy of the system peaking, we propose the optimization model of high-voltage distribution network energy storage plant siting and capacity setting for source-storage cooperative peaking. The simulation results show that the proposed energy storage plant planning method can effectively alleviate the branch circuit blockage, promote new energy consumption, reduce the burden of the main grid peak shifting, and leave sufficient peak shifting margin for the subsequent development of a new energy distribution network while ensuring the economy.},
DOI = {10.32604/ee.2025.064317}
}