模型预测暂态电压稳定紧急控制的简化空间算法

采用模型预测进行暂态电压稳定紧急控制,计算效率是制约其在线应用的瓶颈。建立暂态电压稳定紧急控制的滚动优化模型。采用拉道(Radau)排列法将这个动态优化模型转换为非线性规划模型,转换之后的非线性规划模型具有高维但自由度相对低的特点。为提高计算效率,利用其自由度低的特征,采用简化空间序列二次规划算法进行求解。并对简化空间序列二次规划算法的几个关键问题进行讨论。以IEEE 3机9节点和IEEE 10机39节点系统作为测试系统,通过与全空间序列二次规划算法、标准内点法和基于有限内存存储技术的内点法的比较,验证所提算法的有效性。

Reduced Space Algorithm for Model Predictive Transient Voltage Stability Emergency Control

The computation efficiency is the critical bottleneck of the online model predictive transient voltage stability emergency control.The receding horizon optimization model was established for power system transient voltage stability emergency control.Radau collocation method was used to convert the dynamic optimization to nonlinear programming problem which had high dimension but relatively few degrees of freedom.Considering the few degrees of freedom in this optimization,the reduced space sequential quadratic programming methods was applied to enhance the computation efficiency of the high dimensional nonlinear programming.Several key steps of the reduced spaced approach were discussed in detail.Compared with the standard sequential quadratic programming methods,standard interior point method and interior point method based on limited memory in Matlab’s optimization toolbox,simulation results on IEEE 3-machine 9-bus and IEEE 10-machine 39-bus system verified the efficiency of the proposed method.