考虑电压稳定性的快速多目标无功优化方法

A Fast Approach to Multi-objective Reactive Power Optimization Considering Voltage Stability

针对多目标无功优化方法存在寻优时间过长,优化结果针对性不强以及难以实现自动实时控制的问题,将一种基于ε-支配域的多目标进化算法应用到多目标无功优化的求解中,根据多目标模糊评价函数各目标分量的不同重要程度,构建出自适应ε-支配域,生成相应的后评价模糊控制器以实现优化结果的智能选择。在IEEE14,IEEE30和IEEE118节点系统上进行仿真试验,并与几种典型的多目标优化方法进行比较,证明了所提出的方法能使多目标无功优化的速度得到较大提高,针对系统的薄弱环节进行改进,从而更适用于电力系统自动实时控制。

In order to solve the problem that the Multi-objective Evolutionary Algorithm(MOEA) used in reactive power optimization currently has the shortcomings of time consuming computation,poor orientability and applicability,a ε-omination based MOEA was applied in reactive power optimization.According to different significance among objective components,an adaptive ε-omination was created and relevant post-evaluation fuzzy logic controller was established to select solution.IEEE14,IEEE30 and IEEE118 systems were u...