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。
In respect of programming, the improved Newton iteration algorithm is associated with function designations, therefore input and transfer of nonlinear functions are solved.
在编程技术方面，将改进的牛顿迭代法与函数调用相结合，解决了非线性函数的输入与转移问题。
Compared with the quasi Newton methods and ACA, the solution accuracy of new algorithm is not only improved, but also the convergent reliability is increased.
与拟牛顿法和蚁群算法相比，新算法不仅提高了解的精确性，而且增强了收敛的可靠性。
Compared with the quasi Newton methods and ACA, the solution accuracy of new algorithm is not only improved, but also the convergent reliability is increased.
与拟牛顿法和蚁群算法相比，新算法不仅提高了解的精确性，而且增强了收敛的可靠性。
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