基于常项值和先验节点的全纯嵌入潮流计算方法

在采用现有全纯嵌入潮流计算方法求解大规模电力系统潮流时，幂级数阶数过高，易导致解析延拓发散，收敛性较差，且计算冗余度高。提出一种基于常项值和先验节点的全纯嵌入潮流计算新方法。构建基于常项值的全纯嵌入潮流计算模型，通过动态更新常项值提高潮流收敛性；提出先验节点电压幅值预判机制以提高计算效率；提出2种节点类型转换方案。通过不同规模测试系统对所提方法进行分析验证，结果表明，所提方法不依赖于初值，可准确、高效地求解出潮流解，比牛顿-拉夫逊法和传统全纯嵌入潮流计算方法具有更好的潮流收敛性。

Constant values and priori buses based holomorphic embedding load flow method

When the load flow of large-scale power system is solved by the existing holomorphic embedding load flow method, the order of power series is too high, which easily causes divergence of analytic extension, poor convergence and high computational redundancy. A novel constant values and priori buses based holomorphic embedding load flow method is proposed. A constant values based holomorphic embedding load flow model is built, and the load flow convergence is improved by dynamically updating constant values. A pre-judgement mechanism of voltage amplitude of priori buses is proposed to improve the computational efficiency. Two bus-type conversion strategies are proposed. The proposed method is analyzed and verified by the test systems with different scales, and results show that the proposed method is independent on the initial value, can accurately and efficiently solve the load flow solution, and has better load flow convergence than Newton-Raphson method and traditional holomorphic embedding load flow method.