摘要
在风电场侧配置电池储能是缓解风电功率波动、提高风电可调控性的有效途径。为满足风功率波动平抑要求,提出了一种计及多储能单元出力水平的风功率波动平抑控制方法,充分考虑多储能单元实时出力能力,在兼顾功率平抑目标的同时实现减小储能电池能量调用、各储能单元充放电切换次数、放电深度及荷电状态波动区间。首先分析了滤波时间常数对风功率平抑效果以及储能功率分配方法对各单元荷电状态变化的影响;其次引入超短期风功率预测,根据风功率预测数据建立滤波时间常数优化模型,得到滤波时间常数最优解以及最小储能功率指令;然后分析了各储能单元出力水平与功率平抑需求的影响,进一步提出了一种分层复合式储能单元功率分配方法,实现了多储能单元的功率指令分配,避免了各储能单元频繁与过度充放电,有利于延长使用寿命;最后以湖南省某实际风电场为例,通过实际算例验证了所提方法的有效性。
The installation of battery energy storage on a wind farm is an effective way to smooth the wind power fluctu-ation and improve the controllability of wind power.In this paper,we proposed a control method for smoothing wind power fluctuation with multiple energy storage unit output levels,in which the real-time output capacity of multiple stor-age units is fully taken into consideration.Besides,the utilization of energy,the switch number of charge/discharge,the range and difference of state of charge are decreased while ensuring the power smoothing target.Firstly,we analyzed the effect of the filtering time constant on the smoothing wind power and influence of power allocation method on the SOC change of each unit,respectively.Secondly,the short-term forecast is introduced.The optimal solution of filtering time constant and minimum power command are calculated by the filtering time constant optimization model.Moreover,the relationship between the output level of each storage unit and the power command is analyzed,and the power command is allocated according to the hierarchical composite power.Finally,the effectiveness of the proposed method is verified in a case study by using actual wind power data from a wind farm in Hunan province.
作者
常樊睿
李勇
彭衍建
周年光
高酉松
张曦壬
CHANG Fanrui;LI Yong;PENG Yanjian;ZHOU Nianguang;GAO Yousong;ZHANG Xiren(Engineering Research Center of Power Transmission and Transformation Technology,Ministry of Education,China,Hunan University,Changsha 410082,China;Economic and Technological Research Institute,State Grid Hunan Electric Power Co.Ltd,Changsha 410004,China)
出处
《高电压技术》
EI
CAS
CSCD
北大核心
2024年第1期182-193,I0018,共13页
High Voltage Engineering
基金
国家自然科学基金(52207093)
湖南省科技重大专项(2020GK1011)
中国博士后科学基金资助项目(2021TQ0099
2022M721083)。
关键词
风功率波动
电池储能
多储能单元
滤波时间常数
功率分配
风功率预测
wind power fluctuation
BESS
multi-storage units
filtering time constant
power allocation
wind power forecast
