4．改进牛顿法（Improved Newton Algorithm）［14］115J 传统的牛顿一拉夫逊法是将潮流方程厂（x）＝o用态勒级数展开，并略去二阶及 以上高阶项，然后求解。
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improved Gauss-Newton algorithm 改进Gauss
The retaining-nonlinearity algorithm was presented in order to ameliorate the limitation left by Newton-Raphson who dealt with morbidity condition, and thus improved the astringency.
保留非线性潮流算法是为了改进牛顿法在处理病态条件时的缺陷，提高收敛性能而提出的。
A branch-congruency power method is presented, based on improved Newton-Raphson power flow algorithm.
在牛顿·拉夫逊法的基础上提出了一种支路重载型潮流算法。
The EML registration is achieved by two step recursive optimization. The quick convergence is assured through the improved Gauss Newton algorithm.
该算法通过两步 递 归最优化方法来实现 ，并采用改进的高斯—牛顿法来确保算法的快速收敛 性。
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