考虑负荷不确定性的多目标交直流系统无功优化

提出了一种考虑负荷不确定性的多目标交直流系统无功优化方法，研究负荷模型的不确定性对交直流系统无功优化的影响。本文将系统有功损耗最小、系统电压稳定裕度最大作为目标函数，基于负荷误差的正态分布特征，并利用二层规划理论方法，建立考虑负荷不确定性的多目标交直流系统无功优化数学模型。针对交直流无功优化非线性、多变量、多约束的特点，采用内点法和遗传算法相结合的混合优化算法求解上层模型，下层模型采用实数编码的改进遗传算法求解。采用基于IEEE30标准节点改进的交直流算例对提出的方法进行验证，结果验证了本文提出方法的可行性及有效性。

Multi-objective reactive power optimization of hybrid AC/DC power system considering load uncertainty

This paper presents a method of multi-objective reactive power optimization of hybrid AC/DC power system considering load uncertainty to study the influence of load uncertainty to reactive power optimization. The objectives are minimization of active power loss and maximization of voltage stability margin, load inaccuracy based on the normal random distribution is considered in the modal. The reactive optimization is nonlinear, multivariate and multi-constraint, a hybrid algorithm of interior point method and genetic algorithm is adopted to solve the upper optimization modal, and an improved genetic algorithm is adopted to solve the lower optimization modal. The proposed method is tested in a modified hybrid AC/DC power system based on the IEEE 30-bus system. The results demonstrate that the proposed method is feasible and effective.