基于牛拉法的预估校正潮流计算算法

A predictor-correcting power flow algorithm based on Newton-Raphson method

为了减少迭代次数,提高收敛性,在一阶牛顿拉夫逊法基础上对不平衡量ΔP和ΔQ进行修正,采用一阶牛顿法得到的修正量作为预测量,利用节点注入电流方程和电压方程形成不平衡量的校正值,从而得到新的修正方程,沿用传统牛顿法进行迭代计算。从理论上讲该方法具有三阶收敛性。通过对典型IEEE节点实例进行Matlab编程仿真,与传统牛拉法做对比,该方法具有迭代次数少,收敛性好,编程量增加不多的特点。

In order to reduce the rate of convergence, a new power flow algorithm based on the Newton＇ s method is presented. The deviation of AP and △Q is corrected, using the value of AP and △Q obtained by Newton＇ s method as a forecast. Combining node injection current equation and voltage equation form the cor- rected value of the deviation, so as to get the new correction equation, and the solution adopts Newton method and theoretically has third order convergence. The results of IEEE test cases show that the new algorithm has the advantages to reduce the rate of convergence and optimizes programming capacity.