【摘要】 多目标进化算法(MOEA)已经被应用到电力系统无功优化这一问题的求解,但是由于MOEA算法需要相当长的寻优时间,同时其优化结果针对性不强,因此难以用于电网的无功电压自动实时控制。将以ε-支配域为基础的多目标优化方法应用到实际系统的无功电压自动实时控制中,该方法包括多目标模糊评价函数、自适应ε-MOEA优化算法以及后评价模糊控制器。通过在一个实际35节点系统上的应用,验证了所提方法的有效性与实用性。更多还原

【Abstract】 The MOEA methods have been used in reactive power optimization,but due to its shortcomings,such as time consuming computation and poor applicability,it is difficult to be used in actual control.A fuzzy multi-objective reactive power optimization approach based on ε-domination,including new fuzzy multi-objectives function,adaptive ε-domination algorithm and post-evaluation fuzzy logic controller,has been used to overcome those shortcomings.Its application to a real 35 nodes system shows the method can maintain good search results and save a lot computation time.更多还原