可控串补的迭代学习控制法

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

Thyristor controlled series capacitor control using iterative learning control

Thyristor controlled series capacitors (TCSC) installed on long transmission lines can improve the transient stability and damp power system oscillations. Since a power system is a complex nonlinear system with uncertainties in both the mathematical models and the disturbances, an adaptive control strategy is needed which is independant of the detailed model. Iterative learning control (ILC) was used in TCSC control. The analysis verifies the convergence of the algorithm. The digital simulation results prove that ILC is more adaptive than the traditonal PI control.