一种风场主动支撑电网的智能自适应控制方法

An Intelligent Adaptive Control Method for Wind Farms to Actively Support Power Grids

风电的不确定性和高渗透率,导致电网调度控制难和电网惯量下降等问题,为此提出了基于混合储能的功率分配系数自适应控制策略和基于T-S模糊神经网络的调频功率自适应控制策略。首先,对风场混合储能系统健康状态进行评估;其次,功率分配系数自适应控制器根据各组混合储能系统健康状态系数对风场所有风机输出总功率和调度功率之间的差值进行分配,实现电网调度功率跟踪;最后,调频功率自适应控制器根据电网频率偏差和各组混合储能系统健康状态控制各组混合储能系统为电网提供频率支撑。仿真分析表明,所提出的功率分配系数自适应控制策略能有效分配功率差,减小电网调度控制难度;调频功率自适应控制策略能有效增加电网惯量,为电网提供频率支撑。

The uncertainties and high permeability of gridconnected wind power increases the difficulty of the power grid dispatching capability and reduces the inertia of the power grid.Therefore,this paper proposes a power allocation coefficient adaptive control strategy based on hybrid energy storage and a frequency-modulated power adaptive control strategy based on T-S fuzzy neural network. Firstly,the health state of the wind farm hybrid energy storage system is evaluated. Secondly,according to the health state of each group of hybrid energy storage systems, the power allocation coefficient adaptive controller allocates the difference between the total output power of all turbines in the wind farm and the dispatching power,so as to realize the tracking of power grid dispatching. Finally,the frequency-modulated power adaptive controller controls each of the hybrid energy storage systems according to the frequency deviation of the power grid and the health status of each group of hybrid energy storage systems to provide frequency support for the power grid. The simulation results show that the proposed power allocation coefficient adaptive control strategy can effectively distribute the power difference and reduce the difficulty of power grid dispatching control. The frequencymodulated power adaptive control strategy can effectively increase the inertia of the power grid and provide frequency support.