计及风功率波动和电池荷电状态的储能系统平滑控制策略

SMOOTHING CONTROL STRATEGY OF ENERGY STORAGE SYSTEM CONSIDERING WIND POWER FLUCTUATIONS AND BATTERY SOC

针对普通控制策略在功率骤变平抑时造成的深度充放电问题,提出一种计及风功率波动和电池荷电状态的储能系统平滑控制策略。该方法以波动系数为优化变量,通过双滑动窗口和粒子群算法相结合的方法建立系统优化模型,利用该模型计算得到并网功率参考值,并辅助以并网最大功率波动限制和储能系统荷电状态(SOC)调节,在保证平滑控制效果的前提下降低储能系统的充放电深度。算例表明,与传统的控制策略相比,该策略在维持SOC合理水平下可对功率波动进行有效平滑。滑动窗口可根据功率波动情况进行实时切换,保证了控制策略对风功率骤变的快速跟随性能。

Wind power has strong randomness and volatility,a direct access to the power grid will be a determental effect on the quality of power.To cope with the problem of deep charge-discharge caused by the common control strategy when the sudden change power is flat,a smoothing control strategy for energy storage system considering wind power fluctuation and battery charging state is proposed.In this method,the fluctuation coefficient is taken as the optimization variable,and the optimizing model of the system is established through the combination of double-sliding window and particle swarm optimization.The reference value of grid-connected power is calculated by the model,and combines with maximum fluctuation power limit and regulation of SOC to reduce the charging-discharging depth of the energy storage system on the premise of guaranteeing the smooth control effect.Results indicate that compared with the traditional control strategy,the strategy presented in this paper can effectively smooth power fluctuations under the premise of stabilizing the SOC at a reasonable level.The sliding window can be switched in real time according to the power fluctuation,which ensures the quick follow-up performance of the control strategy to sudden changes in wind power.