基于GaBP算法的快速潮流计算方法
发布时间：2019-01-22 11:49
【摘要】：研究在潮流迭代求解过程中雅可比矩阵方程组的迭代求解方法及其收敛性。首先利用PQ分解法进行潮流迭代求解,并针对求解过程中雅可比矩阵对称且对角占优的特性,对雅可比矩阵方程组采用高斯置信传播算法(GaBP)进行求解,再结合Steffensen加速迭代法以提高GaBP算法的收敛性。对IEEE118、IEEE300节点标准系统和两个波兰互联大规模电力系统进行仿真计算后结果表明:随着系统规模的增长,使用Steffensen加速迭代法进行加速的GaBP算法相对于基于不完全LU的预处理广义极小残余方法(GMRES)具有更好的收敛性,为大规模电力系统潮流计算的快速求解提供了一种新思路。
[Abstract]:The iterative solution of Jacobian matrix equations and its convergence are studied. Firstly, the PQ decomposition method is used to solve the power flow iterations. Aiming at the symmetry and diagonal dominance of Jacobian matrix, Gao Si confidence propagation algorithm (GaBP) is used to solve Jacobian matrix equations. The convergence of GaBP algorithm is improved by using Steffensen accelerated iteration method. The simulation results of IEEE118,IEEE300 node standard system and two large scale interconnected power systems in Poland show that: with the increase of system size, The accelerated GaBP algorithm using Steffensen accelerated iteration method has better convergence than the pre-processing generalized minimal residual method based on incomplete LU, which provides a new idea for fast power flow calculation of large-scale power systems.
【作者单位】： 三峡大学电气与新能源学院;
【分类号】：TM744
[Abstract]:The iterative solution of Jacobian matrix equations and its convergence are studied. Firstly, the PQ decomposition method is used to solve the power flow iterations. Aiming at the symmetry and diagonal dominance of Jacobian matrix, Gao Si confidence propagation algorithm (GaBP) is used to solve Jacobian matrix equations. The convergence of GaBP algorithm is improved by using Steffensen accelerated iteration method. The simulation results of IEEE118,IEEE300 node standard system and two large scale interconnected power systems in Poland show that: with the increase of system size, The accelerated GaBP algorithm using Steffensen accelerated iteration method has better convergence than the pre-processing generalized minimal residual method based on incomplete LU, which provides a new idea for fast power flow calculation of large-scale power systems.
【作者单位】： 三峡大学电气与新能源学院;
【分类号】：TM744
【参考文献】
相关期刊论文 前4条
1 廖小兵;王文超;李奔;;ILU预处理Newton-Krylov方法的潮流计算[J];计算技术与自动化;2015年04期
2 严正;范翔;赵文恺;徐潇源;范金燕;王毅;;自适应Levenberg-Marquardt方法提高潮流计算收敛性[J];中国电机工程学报;2015年08期
3 汪芳宗;何一帆;叶婧;;基于稀疏近似逆预处理的牛顿-广义极小残余潮流计算方法[J];电网技术;2008年14期
4 苏津;阳育德;覃智君;;基于矢量化运算模式的电力系统潮流计算[J];电网技术;2008年03期
【共引文献】
相关期刊论文 前10条
1 扈诗扬;汪芳宗;;基于GaBP算法的快速潮流计算方法[J];计算技术与自动化;2016年04期
2 赵建伟;李禹鹏;杨增辉;严正;徐潇源;冯楠;崔勇;;基于拟蒙特卡罗模拟和核密度估计的概率静态电压稳定计算方法[J];电网技术;2016年12期
3 曹佳;严正;李建华;曹路;;含风电场交直流混联系统的概率潮流计算[J];电力自动化设备;2016年11期
4 燕思e，
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