摘要
针对储能平抑风电成本过高的问题,提出一种考虑置信水平的混合储能平抑风电波动新方法。首先对比在不同时间常数下混合储能对典型日风电出力波动的平抑效果,得到储能参考功率,采用经验模态分解(EMD)将储能参考功率分解成一系列本征模态函数(IMF);然后利用瞬时频率—时间曲线混叠最少将储能参考功率划分为功率型高频储能配置和能量型低频储能配置,基于储能成本对其进行合理选型;最后对湖南某风电场实际运行工况进行算例仿真,仿真结果表明:考虑置信水平后,储能平抑风电波动所需要的容量和功率明显降低。
For the purpose to reduce the cost on energy storage for smoothing wind power fluctuation,this paper proposes a new method which selects a hybrid energy storage with certain confidence level to smooth wind power fluctuations.Firstly,comparing the smoothing effect of mixed energy storage for the fluctuation of typical daily wind power output with different time constants,and the reference power of energy storage is obtained.Then,the empirical mode decomposition(EMD)is utilized to decompose the energy storage reference power into a series of intrinsic mode function(IMF).According to the least alias in the instantaneous frequency-time curve,the energy storage reference power is divided into a power type high-frequency energy storage configuration and an energy-type low-frequency energy storage configuration.A reasonable energy storage type is then chosen based on energy storage cost on this basis.Finally,the actual operation condition of a wind farm in Hunan is simulated.It shown that the capacity and power required for energy storage to smooth wind power fluctuations is significantly reduced after considering the confidence level.
作者
马瑞
李浩
吴震宇
MA Rui;LI Hao;WU Zhenyu(School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410114, China)
出处
《电力科学与技术学报》
CAS
北大核心
2022年第1期35-40,共6页
Journal of Electric Power Science And Technology
基金
国家自然科学基金(51677007)。
关键词
置信水平
混合储能系统
平抑风电
经验模态分解
储能配置
confidence level
hybrid energy storage system
smoothing wind power
empirical mode decomposition
energy storage configuration
作者简介
通信作者:马瑞(1971-),男,博士,教授,主要从事电力系统分析与控制、能源互联网和电力系统大数据研究,E-mail:marui818@126.com。
