【摘要】 提出了一种求解含离散控制变量的大规模电力系统无功优化的新算法,该方法通过对离散变量构造罚函数并直接嵌入非线性原对偶内点法中,以实现离散变量在优化过程中的逐次归整。文中对罚函数处理离散变量的原理以及其如何与原对偶内点法的直接结合进行了详细论述,并给出了一种新的数据结构以快速有效地求解高阶修正方程。从IEEE 14节点到广东省538节点电网等几个不同规模系统的演算结果可看出,该方法可以有效地处理离散变量,而且具有较好的收敛性和精确性。更多还原

【Abstract】 This paper presents a new algorithm for solving reactive-power optimization of large-scale power systems with discrete control variables, which realizes successive discreti-zation of the discrete control variables in optimization process by incorporating penalty function into nonlinear primal-dual interior-point algorithm. The principle of handling these discrete variables by quadratic penalty function and how to incorporating it into the primal-dual interior-point algorithm in a straightforward manner are discussed in detail. A novel data-structure rearrangement is proposed in order to solve the high-dimension correction equation speedily and efficiently. The numerical results of test systems that range in size from IEEE 14-bus system to 538-bus Guangdong power system have shown that the proposed method can handle the discrete control variables effectively and has good convergence and accuracy.更多还原