求解离散无功优化的非线性原-对偶内点算法

针对无功优化计算中离散变量和连续变量共存问题，提出用直接非线性原一对偶内点法内嵌罚函数的新算法。通过对几个不同规模试验系统计算分析，并与Tabu搜索法求得的结果比较，证明了该方法是有效的，而且在计算速度、收敛性和优化精度上都优于Tabu搜索法。这使内点法在解决非线性混合整数规划无功优化的有效性和实用性方面更进了一步。

NONLINEAR PRIMAL-DUAL INTERIOR POINT ALGORITHM FOR DISCRETE REACTIVE POWER OPTIMIZATION

A new algorithm for reactive power optimization problem involving both discrete and continuous variables is presented,which incorporating a penalty function into the nonlinear primal- dual interior point algorithm.By comparing with Tabu search method,the num erical results of several test system s show thatthe proposed m ethod is effective,and is superior to Tabu search m ethod on side of computation speed,convergence and optim ization accuracy. The effectiveness and practicality of the interior point algorithm in solving nonlinear mixed integer program ming model of reactive power optimization is improved.