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 utilized to test the approach against some other state-of-the-art MOEAs and the results showed that the method could maintain good search results, save a lot computation time and fit to real-time control.
