基于经验模态分解与小波分析相结合的风电功率平滑控制

发布时间：2018-05-02 20:00

本文选题：风电系统 + 容量配置　；参考：《电力系统保护与控制》2016年24期

【摘要】：为了缓解风电功率输出的波动性对系统的影响,常用储能装置平滑风电的输出。合理配置储能装置容量的关键是确定风电场注入电网有功功率的参考值。当前计算风电场并网功率的参考值的主要方法,如低通滤波器平滑方法和频谱补偿法等,都存在着一定的缺陷。提出了一种采用经验模态分解与小波分析相结合的方法,能较好地分析原功率的特征,能更好地还原原有功率值,从而获得更为准确的风电并网功率的参考值。并在综合考虑电池储能的荷电状态、效率等情况下,采用仿真法得出储能装置容量的最低配置值。算例分析中,通过与传统的低通滤波平滑下的容量配置进行对比,验证了所提出方法的有效性和优越性。
[Abstract]:In order to mitigate the impact of wind power output fluctuation on the system, energy storage devices are used to smooth the wind power output. The key to reasonably allocate the capacity of the energy storage unit is to determine the reference value of the active power injected into the power grid by the wind farm. At present, the main methods of calculating the reference value of grid connected power of wind farm, such as low-pass filter smoothing method and spectrum compensation method, all have some defects. A method combining empirical mode decomposition and wavelet analysis is proposed, which can better analyze the characteristics of the original power, restore the original power better and obtain a more accurate reference value of wind power connected to the grid. Considering the charge state and efficiency of battery energy storage, the minimum configuration of energy storage capacity is obtained by simulation. The effectiveness and superiority of the proposed method are verified by comparing it with the traditional low-pass filter.
【作者单位】：河海大学能源与电气学院;江苏省泰州供电公司;江苏省电力公司检修分公司扬州运维分部泰州运维站;
【基金】：国家自然科学基金优青项目(51422701)~~
【分类号】：TM614

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