风电功率小波包分解结合储能模糊控制的配电网多目标优化

Distribution Power System Multi-objective Optimization Based on Wind Power Wavelet Packet Decomposition and Storage System Fuzzy Control

将风力发电(以下简称风电)分散式接入中低压配电网,采用就地消纳的模式是大规模风电集中并网、远距离输送供电模式的一种较好的补充方式。通过对高渗透率分布式风电功率进行小波包分解,确定了并入电网功率及能量型、功率型储能的充放电功率指令,并提出了一种确定小波包分解层数及频段的优化方法,即以分解层数和频段为控制变量,建立电网总电压偏差最小、总有功网损最小、总电压闪变裕度最大、能量型储能等效寿命损耗最小的多目标函数,进而解得最优分解下并入电网的低频功率及混合储能的中、高充放电功率指令。为使频繁充放电的功率型储能荷电状态(SOC)处于合理的状态,采用模糊理论对其进行自适应控制,并根据模糊控制器的输出修正风电功率最优分解。最后,通过对基于IEEE 33节点算例的分析计算,验证了所提方法的正确性及有效性。

Wind power scatteringly connected to distribution systems in which load power is balanced locally is generally considered as a compensation method for massively integrating wind power into the backbone of power grid.In order to ensure the low frequency component integrated in system and to determine the medium frequency and high frequency component which are charged and discharged by composite storage,a wavelet packet optimal decomposition method for wind power is proposed. The established multi-objective function includes minimum system loss,minimum system voltage deviation,maximal system voltage flicker margin and minimum battery equivalent life loss.The stage of charge adaptive control of power-type storage using fuzzy control method is applied to improve its ability of charge and discharge,and the fuzzy control output is used to correct the optimal wind power decomposition.In the end,the IEEE 33-bus numerical results are used to verify the correctness and effectiveness of the proposed method.