考虑风电不确定性的自适应MPC负荷频率控制方法

对风电不确定性引起的电力系统负荷频率控制变化问题展开研究.首先,对双馈风机(DFIG)虚拟惯性控制特征进行分析,构建风电参与的自动发电控制(AGC)系统模型;其次,讨论系统等效惯性时间常数H与风速变化的关联关系,描述风电不确定性对自动发电控制系统参数的影响;最后,进行自适应模型预测控制策略的设计,保证在风电输出不确定的情况下,控制器能够针对系统参数变化进行自适应调整,以保证最优的负荷频率控制效果.仿真结果表明:当风速变化而导致系统参数发生改变时,所提方法能够有效抑制高风速带来的等效惯性时间常数下降对频率控制的不利影响,并且具有更好的负荷频率控制能力.

Adaptive MPC Load Frequency Control Method Considering Wind Power Uncertainty

The problem of load frequency control change caused by wind power uncertainty is studied. Firstly, the characteristics of the virtual inertia control of double fed induction generator(DFIG)are analyzed to build an automatic generation control(AGC)system model. Secondly, the relationship between the equivalent inertia time constant H of the system and the change of wind speed is discussed to describ the influence of uncertainty of wind power on the parameters of AGC system. Finally, the scheme of an adaptive model predictive control strategy is designed to ensure that the controller can adaptively adjust to guarantee the optimal situation effect of load frequency control when the wind power output is uncertain. The simulation results show that when the wind speed changes with the system parameters, the proposed method can effectively suppress the adverse effect of the equivalent inertia time drop caused by high wind speed on frequency control and have better load frequency control ability.