基于辅助问题原理及内点法的分区并行最优潮流算法

针对大电网在最优化问题计算中存在计算时间长、矩阵维数高等问题,按照电力系统的实际地理分布,在某些联络线处将整个电网分解为多个相对独立的子系统,子系统问通过边界节点产生的约束条件进行协调,建立了一个基于辅助问题原理（APP）的多分区并行最优潮流计算模型．应用APP方法,将大电网最优潮流问题转化为多个规模相对较小子系统的并行协调优化问题,在每个子系统中采用跟踪中心轨迹内点法求解子系统的优化问题．测试算例的计算结果表明,该算法减少了整个问题的矩阵维数,降低了问题的求解难度,具有较强的收敛性、快速性和实用性．

Paralleled Optimal Power Flow Algorithm Based on Auxiliary Problem Principle and Interior Point Algorithm

To solve the difficulties of long computing period and huge matrix dimensions in the traditional large scale optimal power flow(OPF) algorithms,a complex power system is decomposed into several logical independent subsystems geographically,which are coordinated via restrictions of the jointed borders.A distributed processing model based on subsystem decomposition and auxiliary problem principle(APP) method is proposed,where the large scale system OPF problem is decomposed into several parallel coordinating subsystem optimization ones and solved with the interior point algorithm.It is demonstrated that the algorithm rapidly reduces the dimensions and the calculation complexity of overall OPF problem with higher efficiency and convergence.