近似最佳加速因子改进高斯-赛德尔法潮流计算

Improving Gauss-Sederal method of load flow calculation with approximate best accelerating factor

高斯-赛德尔潮流计算方法的收敛性比较缓慢,为提高算法的收敛速度,常用的一种方法是在迭代过程中加入加速因子α,一般是首先给出α的取值范围(通常取1<α<2),然后采用试探法在给定的范围内求得一个最佳收敛因子,其工作量很大,且没有规律可循。针对这个问题,本文提出了一种简单的求取最佳因子的方法,在附加计算量非常少的情况下,程序自行寻找到近似最佳因子。IEEE-14节点算例的结果表明,在改善收敛性方面,近似最佳因子的效果几乎等同于采用试探法求得的最佳收敛因子。

The convergence of the Gauss-Sederal load flow calculation method is relatively slow.To improve the rate of convergence, accelerating factor α is adopted commonly in the iterative process （generally 1〈α〈2）.There is a best accelerating factor in this range which we can pass test method to find, but heavy workload and without rules to follow. This paper presents a simple method of increasing few amount of computation and choosing the best approximation accelerating factor automatically to accelerate convergence. Test results of IEEE-14 case show that the effect of the best approximation accelerating factor approach the one of the best accelerating factor in convergence rate.