School of Control and Computer Engineering, North China Electric Power University, Beijing, China.
School of Control and Computer Engineering, North China Electric Power University, Beijing, China; Colleges and Universities Key Laboratory of Intelligent Integrated Automation, Guilin University of ElectronicTechnology, Guangxi, China.
ISA Trans. 2018 Oct;81:163-176. doi: 10.1016/j.isatra.2018.07.024. Epub 2018 Jul 30.
The linear active disturbance approach is employed to deal with the load frequency control issue of a single area wind power system based on doubly fed induction generator, and the performance of the control law is optimized by using the bat-inspired algorithm. The load frequency control issue has become more challenging in a complex power system based on wind energy conversion system due to the varying feature of the wind penetration, and sustaining the balance between the power generation and demand by rejecting the internal uncertainties in the process model and the external disturbances simultaneously. In the framework of the presented linear active disturbance rejection control approach, by constructing an extended state observer, the total disturbance, including all the unmodelled dynamics in the process model and the external disturbances, can be estimated in real time and then compensated by a simple linear PD control law. The controller parameters tuning is then simplified into the optimization of the two bandwidths: observer bandwidth, and the controller bandwidth. Then, this issue can be achieved by employing the heuristic modified bat inspired algorithm based on the optimization of the proposed performance index. The effectiveness of the proposed approach is validated by the extensive simulation examples of the load frequency control issue involved in the single area power system, taking into account different wind penetration, as well as the external disturbances. The performance robustness of the proposed approach against the parameters perturbation in the process model is also demonstrated via the Monte-Carlo method. The performance superiority of the proposed approach over the conventional Proportional Integral and Fuzzy-Proportional Integral based controller even in the presence of external disturbances and uncertainty in power system parameters under different cases of high wind penetration is also validated from the simulation results.
线性扩张状态观测器方法被用于解决基于双馈感应发电机的单区域风力发电系统的负荷频率控制问题，并通过蝙蝠启发式算法优化控制律的性能。由于风力发电系统的渗透率不断变化，在复杂的电力系统中，负荷频率控制问题变得更加具有挑战性，需要同时拒绝过程模型中的内部不确定性和外部干扰，以维持发电和需求之间的平衡。在所提出的线性扩张状态观测器控制方法的框架内，通过构建一个扩展状态观测器，可以实时估计总干扰，包括过程模型中的所有未建模动态和外部干扰，并通过简单的线性 PD 控制律进行补偿。然后，控制器参数调整简化为两个带宽的优化：观测器带宽和控制器带宽。然后，可以通过基于所提出的性能指标优化的启发式改进蝙蝠启发式算法来实现这个问题。通过考虑不同的渗透率以及外部干扰，对单区域电力系统负荷频率控制问题的广泛仿真示例验证了所提出方法的有效性。通过蒙特卡罗方法还验证了所提出方法对过程模型参数摄动的鲁棒性。从仿真结果可以看出，即使在不同高渗透率情况下的外部干扰和电力系统参数不确定性存在的情况下，与传统的比例积分和模糊比例积分控制器相比，所提出的方法在性能上具有优越性。
