基于不确定非线性智能电网感知网络控制系统方法研究

针对传统的不确定时滞的鲁棒控制系统不能满足现代电力系统发展的需求,提出一种基于不确定非线性智能电网感知云网络化控制识别方法。使用传统的数据值和基于电力网络到网络系统模型作为电力感知网络到网络模型的电力云网络,控制数据优化使用电源感知网络,而不是利用控制节点的预测值,突破了鲁棒控制的不确定时滞系统的控制效果。运用感知模型中的正向云算法修正加权系数,仿真实验证明,该识别方法能够很好地优化传统的不确定时滞鲁棒控制电力系统,具有良好的适应性和鲁棒控制性,进一步提高了智能电网传感云网络控制的各项性能指标。

Smart power grid sensing network control system based on uncertain nonlinear perception

Since the traditional uncertain time delay robust control system can not meet the needs of the development of mordern electric power system,a new intelligent power sensing cloud network control recognition method based on uncertain nonlinear perception is put forward. The traditional data values and network system model based on power is taken as power cloud network control data optimization,which uses power supply sensing network model rather than the predictive value for the node control. It broke through the robust control which can not timely feedback control effect of the uncertain time delay system,but the weighted coefficient is corrected by the Xiang Yun algorithm in perception model of the performance indicator. The simulation results show that the recognition method has good adaptability,robustness and control for optimization of traditional uncertain time delay robust control system,and can further improve the smart power grid sensing cloud network control performance.