一种无功优化预测校正内点算法

无功优化是一个大规模非线性优化问题,预测校正内点法在求解该问题时表现出优良的性能。在每次迭代中,传统预测校正内点法通过预测步求出仿射方向,并用其估计互补方程泰勒展开式的二阶项,进而求出校正步。本文算法在传统预测校正内点法基础上进行了进一步的改善,采用了直角坐标系中的无功优化新模型,通过处理,所有KKT方程都转化成二次或线性的。通过预测步求出仿射方向后,用其精确地表达出所有二次KKT条件方程泰勒展开式的二阶项,然后再求出修正方向。新算法的速度优于传统预测校正内点法,数值计算结果表明了该方法的有效性。

A Predictor-Corrector Interior Point Method for Optimal Reactive Power

Reactive optimal power flow is a nonlinear large-scale optimization problem. Predictor-corrector interior pointer method(PCIP)shows excellence performance on this problem.In an iteration in conventional PCIP,the affine scaling direction is obtained in predictor step so as to evaluate the second order terms of taylor expansions for complementarity functions and obtain the corrector step further.In this paper,an improved partner of PCIP is proposed.The method is in a new rectangle coordination model.In this m...