【摘要】 提出了基于非线性互补方法的最优潮流算法。引入非线性互补函数,将内点法中KKT条件的互补松弛条件约束转化为等式约束,并采用牛顿方法求解。该方法不必保证互补松弛变量为正数,可以从任意起始点出发,具有良好的收敛性。在确定最优步长的过程中,采用了新的效益函数,节省了大量的计算时间,并有效处理了算法在收敛过程中产生的振荡问题。数值计算结果表明,提出的算法具有很好的收敛性和计算效率,对于大规模电力系统具有很好的应用前景。更多还原

【Abstract】 An optimal power flow algorithm based on nonlinear complementarity method is proposed. By leading in the nonlinear complementarity function, the constraints of complementarity relaxation conditions in KKT equation of interior point method are changed into equality constraints and can be solved by Newton method. For the proposed method the complementarity relaxation variables are not needed to be positive, and the proposed method can begin at any starting point and possesses good convergence. In the determination of optimal step-length a new merit function is adopted, so the calculation is obviously speeded up and the oscillation that appears in the convergence process of the proposed algorithm is effectively dealt with. Numerical calculation results show that the proposed algorithm possesses good convergence and high computational efficiency and is available to large-scale power grid.更多还原