基于EMD与模型预测控制算法的风电功率平抑

Wind Power Fluctuation Stabilization Based on EMD and Model Predictive Control Algorithm

随着能源短缺问题日益突出,可再生能源得到了广泛开发和利用。风、光等可再生能源受自然环境非均匀性和非稳态性影响,其输出功率也呈现很强的时变性,并入电网后会产生系统的电压和频率波动等一系列电能质量问题。储能系统可以作为能量缓冲装置,平抑可再生能源输出功率,以达到并网标准。提出用混合储能系统平抑可再生能源发电波动的方法,并给出了能量分配方式及储能充放电控制方法。最后,用某风电场的实际数据为例,以蓄电池和超级电容储能构成的混合储能系统平抑风电波动,仿真结果证明,所提方法的技术合理性和经济实用性。

With the increasingly prominent problem of energy shortage,renewable energy has been widely developed and utilized.Renewable energy such as wind and light is affected by the non-uniformity and instability of natural environment,and its output power also presents a strong time-varying nature.After being integrated into the power grid,it will cause a series of power quality problems such as the fluctuation of system voltage and frequency.The energy storage system can be used as an energy buffer device to stabilize the output power of renewable energy to meet the grid-connected standards.A method of using a hybrid energy storage system to stabilize the fluctuation of renewable energy generation is proposed,and the energy distribution method and the control method of energy storage charge and discharge are given.Finally,tanking the actual data of a wind farm for example,the hybrid energy storage system composed of battery-supercapacitor energy storage stabilizes wind power fluctuations.The simulation results prove the technical rationality and economic practicability of the proposed method.