摘要
大规模风电并网会对电力系统供需平衡以及电能质量带来巨大的挑战,采用蓄电池和超级电容构建的混合储能系统以平抑风电场输出功率波动可以有效地解决风电并网问题。利用小波包分解的分频技术对风电场不平衡功率进行分解,根据系统所允许的最大频率波动确定了系统自身消纳的高频功率波动分量,以分离出高频分量为目标确定了最优小波包分解层数和分频点,并按照储能系统成本年值最优原则实现了能量型和功率型储能的功率分配和容量配置。为实现蓄电池和超级电容荷电状态(SOC)不越限以及两者之间的配合使用,采用模糊控制算法对混合储能系统的充放电功率指令进行二次修正,保证了储能状态的实时更新和控制策略的长期运行。以某系统的实际风电场为例进行仿真分析,仿真结果验证了该方法的经济性和有效性。
Large-scale wind power grid connection will bring huge challenges to the balance between supply and demand and power quality. It is an effective means to solve the problem by using the hybrid energy storage system composed of battery and super capacitor to stabilize the wind power fluctuation. The imbalanced power is decomposed by wavelet frequency allocation. The component of the imbalanced power corresponding to the high frequency is determined with the grid permitted maximum frequency deviations. Therefore, we propose a wavelet packet optimal decomposition method for imbalance power to separate the high frequency components from the imbalanced power. According to the optimal principle of the energy storage system annual cost, the distribution of imbalance power between different energy storage and the optimized sizing are completed. In order to realize that the states of charge(SOC) of battery and super capacitor are kept in the limitation and they are coordinatively used, the fuzzy control algorithm is adopted to correct the power order to ensure real-time update of the energy storage status and long-term operation of the control strategy. Moreover, a wind farm in an isolated system is taken as an example to verify the effectiveness and economy of the proposed method.
引文
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