针对传统自适应小波包风电功率波动平滑技术存在过度平滑以及储能系统负担加重等问题,提出一种改进的自适应小波包风电功率平滑控制策略。首先,根据不同时间段风电功率波动特性,合理规划滤波时间尺度,并确定满足系统控制要求的最小滤波尺度。其次,利用自适应小波包分解滤波尺度内的风电功率,获得期望并网功率与波动功率。之后,采用由双储能电池与超级电容器组成的混合储能系统对波动功率进行平抑。最后,分析改进的平滑策略在降低储能系统负担方面的优势,并对储能系统的运行寿命进行评估。结果表明,在保证风电功率波动有效平滑的前提下,该策略既能降低储能系统的负担,又能延长其运行寿命。
Abstract
Power fluctuation smoothing technology is crucial for the secure and stable functioning of contemporary power systems that integrate a substantial share of new energy sources. To address the problems of the over-smoothing of conventional adaptive wavelet packet techniques for wind power fluctuation smoothing and increased burden of energy storage systems, a refined adaptive wavelet packet strategy for wind power smoothing control has been developed. Initially, according to the power fluctuation characteristics of wind power in different time periods, the filter time scale is reasonably planned, and the minimum filter scale is determined to meet the system control requirements. Subsequently, the expected grid-connected power and fluctuating power are obtained by using adaptive wavelet packet decomposition filter scale. Then, a hybrid energy storage system, comprising dual batteries and supercapacitors, is employed to mitigate these power fluctuations. Finally, the advantages of the improved smoothing strategy in reducing the burden of the energy storage system are analyzed, and the operating life of the energy storage system is evaluated. Findings suggest that on the premise of ensuring the smooth fluctuation of wind power, this strategy not only reduces the burden of energy storage system, but also prolongs its operating life.
关键词
风电功率 /
储能系统 /
电池寿命 /
平滑功率波动 /
自适应小波包分解 /
双储能电池
Key words
wind power /
energy storage system /
battery life /
smoothing power fluctuations /
adaptive wavelet packet decomposition /
dual energy storage battery
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基金
国家重点研发计划项目（国际合作专项）（2021YFE0190900）; 唐山市科学计划（22130210H）
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