南方电网技术2025，Vol.19Issue(2)：115-123,134,10.DOI:10.13648/j.cnki.issn1674-0629.2025.02.012
考虑风电不确定性的海上风电场混合储能容量优化
Hybrid Energy Storage Capacity Optimization of Offshore Wind Farms Considering Wind Power Uncertainty
摘要
Abstract
To reduce the impact of intermittency and volatility of offshore wind power on the power grid,energy storage devices are often introduced to smooth out its output power fluctuations.In response to the low-carbon development process and considering the uncertainty of wind power,the capacity allocation method for energy storage based on a typical wind power output scenario has limita-tions.Taking into account the electricity sales revenue,carbon trading revenue,and various costs of the energy storage system of offshore wind farms,a capacity allocation method for hybrid energy storage system of offshore wind farm considering wind power uncertainty is proposed.The random opportunity constrained programming method is adopted to deal with the uncertainty of offshore wind power output,and wavelet packet decomposition method is used to allocate power between lithium batteries and supercapaci-tors,the allocation scheme is combined with economic evaluation to establish an optimized operation model for wind and energy stor-age system,with the goal of maximizing the daily net profit of the system,optimizing its capacity configuration.Taking the measured data of a domestic offshore wind farm as an example for simulation,the effectiveness and economy of the proposed scheme are veri-fied.At the same time,the system adopting hybrid energy storage is more superior than single energy storage.关键词
海上风电/平抑波动/不确定性/碳交易收益/小波包分解/混合储能/容量优化Key words
offshore wind power/stabilize fluctuations/uncertainty/carbon trading income/wavelet packet decomposition/hybrid energy storage/capacity optimization分类
信息技术与安全科学引用本文复制引用
陆秋瑜,杨银国,陈俊生,刘洋,刘念,曹飞,刘伟召..考虑风电不确定性的海上风电场混合储能容量优化[J].南方电网技术,2025,19(2):115-123,134,10.基金项目
国家自然科学基金资助项目(U2166207) （U2166207）
中国南方电网有限责任公司科技项目(03600KK52200049,GDKJXM20201978). Supported by the the National Natural Science Foundation of China(U2166207) （03600KK52200049,GDKJXM20201978）
the Science and Technology Project of China Southern Power Grid Co.,Ltd.(03600KK52200049,GDKJXM20201978). （03600KK52200049,GDKJXM20201978）
