论文部分内容阅读
可控串补加装在长距离输电线路上 ,用于增强电力系统的稳定性 ,提高系统的传输能力。由于电力系统是非线性大系统 ,模型和干扰都是不确定的 ,寻找不完全依赖于数学模型因而具有较强适应性的控制策略是电力系统稳定控制的重要课题。基于这样的考虑 ,尝试将迭代学习控制方法应用到可控串补的控制中。通过理论分析证明这种控制方法用于可控串补控制的收敛性。仿真结果表明迭代学习控制法与常规 PID控制相比 ,具有较强的适应性
Controllable series complement installed in long-distance transmission lines, used to enhance the stability of the power system and improve the system’s transmission capacity. Since the power system is a nonlinear large-scale system, both the model and the disturbance are uncertain. Finding a control strategy that is not completely dependent on the mathematical model and therefore has strong adaptability is an important issue in the power system stability control. Based on this consideration, try to apply iterative learning control method to the controllable series compensation. The theoretical analysis shows that this control method is used to control the convergence of series compensation control. The simulation results show that the iterative learning control method is more adaptive than the conventional PID control