基于模糊控制的混合储能平抑风电功率波动

风电功率波动对电网造成不容忽视的影响。风电并网处加入混合储能系统可以有效地降低风电对电网的影响。首先按照风电并网波动量要求，估算出某时刻的预估风电波动量。然后根据风电预估波动功率以及电池当前的能量状态建立模糊控制器，输出平抑系数K1，并计算出混合储能系统的实际输出功率以及风储并网功率。最后利用需混合储能SOE变化量以及超级电容器当前能量状态，建立模糊控制器，输出分配系数K2，计算当前超级电容器和电池的实际输出功率，并实时更新混合储能的能量状态。通过算例证明，在混合储能容量充足和不足的情况下协调控制算法均可靠、有效，并且能够充分解决混合储能使用寿命和风电功率波动平抑度之间的矛盾。

Hybrid energy storage for smoothing wind power fluctuations based on fuzzy control

The influence of wind power fluctuations on the grid can not be ignored. Adding hybrid energy storage system to wind power grid system can effectively reduce the effects of wind power on the grid. First of all, according to the requirements of fluctuations in the amount of wind power network, this paper estimates the amount of forecast wind power fluctuations on a moment. Then, it establishes a fuzzy controller based on the wind power forecast fluctuations power and battery current energy state, outputs stabilizing coefficient K1, and calculates the actual output power of the hybrid energy storage system and grid power of the wind storage. Thirdly, it utilizes the hybrid energy storage SOE variation and super capacitor current energy state, establishes a fuzzy controller, outputs distribution coefficient K2, calculates the actual output power of the super capacitor and battery, and updates the energy state of hybrid energy storage in real time. Finally, an example proves that coordination control algorithms are reliable and effective in hybrid energy storage capacity under the condition of sufficient and insufficient, and is able to adequately resolve the contradiction between the service life of the hybrid energy storage and wind power fluctuation degree of ease. This work is supported by Fundamental Research Funds for the Central Universities (No. 00-800015G2).