动态最优潮流的预测/校正解耦内点法

从动态最优潮流中动静态变量的弱耦合关系出发,深入分析了原对偶内点法的解耦思想及其产生的根本原因,然后将该解耦策略推广应用于预测/校正环节的线性方程求解,提出动态最优潮流的预测/校正解耦内点法.该算法利用预测/校正原对偶内点法的优势,提高了动态最优潮流的迭代计算效率.同时,针对线性修正方程组常数项的特点,进一步提出了一种分组解耦同步迭代策略,使动态变量和各时段静态变量在预测/校正环节中实现同步解耦计算,从而进一步提高了动态最优潮流的解耦计算效率.通过典型算例的仿真分析与对比,验证了该算法的有效性.

Dynamic Optimal Power Flow with Decomposed Predictor-corrector Interior Point Method

The dynamic variables and static variables are weakly coupled in dynamic optimal power flow problem. In this paper, the root cause of decomposed primal-dual interior point method is analyzed. The decoupling strategy is applied to solve linear equations in predictor-corrector interior point method, and a decomposed predictor-corrector interior point method is proposed. Moreover, considering the feature of constant term in linear equation, a synchronous iteration strategy for grouped variables is also proposed to predict and correct dynamic variables and static variables synchronously. By taking advantage of decoupling strategy and synchronous iteration strategy, the efficiency of solving dynamic optimal power flow problem is improved. Simulations on standard systems verify the effectiveness of the proposed method.