风光储出力波动抑制策略

Fluctuation Suppression Strategy of Scenery Storage Output

针对风光互补后出力波动性影响并网安全的问题,提出一种基于自适应噪声的完整集成经验模态分解(CEEMDAN)的混合储能平抑功率波动的方法。首先,采用CEEMDAN算法进行多尺度分解风光输出功率信号,将低频信号进行并网处理,次高频和高频功率信号由储能装置进行吸收平抑。其次,提出一种基于模糊控制的储能装置平抑功率再分配的控制策略,实现对蓄电池和超级电容平抑功率的合理分配,防止储能装置的过充电和过放电,达到储能装置安全运行的目标。最后,仿真结果证明了该控制策略的有效性,该控制策略能够实现风光互补后平滑并网的目标。

In view of the scenery complementary output volatility after grid security,a complete integration hybrid energy storage method of smooth power fluctuations based on complete ensemble empirical mode decomposition with adaptive noise(CEEMDAN)was put forward.Firstly,CEEMDAN algorithm was used to decompose the power output signal of the scenery with multi-scale,the low frequency signal was processed with grid-connected in parallel,the subhigh frequency and high frequency power signals were absorbed and suppressed by the energy storage devices.Secondly,the control strategy with a kind of energy storage device based on fuzzy control for slowing redistribution of power was put forward,the reasonable distribution for the balancing power of the storage battery and the supercapacitor was implemented,over charging and over discharging of energy storage device were prevented,the goal of safe operation for energy storage device was achieved.Finally,the simulation results show the effectiveness of the proposed control strategy,which can achieve the goal of smooth interconnection after scenery complementary.