净效益最大的平抑风电功率波动的混合储能容量配置方法  

Capacity Determination of Hybrid Energy Storage System for Smoothing Wind Power Fluctuations with Maximum Net Benefit

作　　者：张晴[1] 李欣然[1] 杨明[1] 曹一家[1] 李培强[1] 

机构地区：[1]湖南大学电气与信息工程学院,长沙410082

出　　处：《电工技术学报》2016年第14期40-48,共9页Transactions of China Electrotechnical Society

基　　金：国家重点基础研究发展计划(973计划)(2012CB215106);国家自然科学基金(51477043)资助项目

摘　　要：通过分析不同功率分配方法对储能容量配置的影响,提出了一种利用滑动平均和经验模态分解(EMD)获得储能参考功率的混合储能(HESS)功率和容量配置方法,并基于全寿命周期成本(LCC),考虑减少风电场旋转备用和缓建并网通道容量效益,以净效益最高为目标实时平抑风电功率波动。该方法首先利用滑动平均法得到HESS参考功率,采用EMD将其分解成一系列本征模态函数(IMF)。根据功率型和能量型储能的特性,以瞬时频率-时间曲线混叠最少为原则选择分界频率,将分解后的子分量重构成高、低频信号,分别作为功率型储能和能量型储能的参考功率。然后,考虑储能系统的充放电效率和荷电状态(SOC),配置不同储能组合方案下各储能的功率和容量,并与其他功率分配方法下的配置结果进行对比分析。最后,构建HESS的成本-效益模型,比较不同方案的净效益,得出经济最优的配置方案。After analyzing different methods, a means using moving average method and empirical mode decomposition （EMD） was presented to obtain power and capacity allocation of hybrid energy storage system （HESS）. Based on the life-cycle cost theory, considering the benefits when the quantity of spinning reserve and transmission network decreases, the wind power fluctuations were smoothed with the maximum net benefit. First, EMD was used to decompose the HESS reference power which was derived by moving average, and then a series of intrinsic mode functions （IMFs） were obtained. From the instantaneous frequency-time profiles of the IMFs, the so-call gap frequency was identified. Subsequently, the HESS reference power was decomposed into high and low frequency components. Power smoothing was then achieved by regulating the reference power of the power and energy storage to mitigate the high and lower frequency fluctuating components respectively. Then, taken the HESS charge-discharge efficiency and state of charge （SOC） into account, the required power and capacities of different schemes were determined. Finally, the cost-benefit model of HESS was established to compare the net benefit of each scheme and select the optimal one.

关 键 词：平抑风电功率波动 混合储能系统 经验模态分解 容量配置 经济评估 净效益 

分 类 号：TM614[电气工程—电力系统及自动化]