An ε-domination based fuzzy muIti-objective reactive power optimization approach and its applications

摘要

A novel ε-domination based fuzzy multi-objective reactive power optimization approach has been proposed in this paper, which was characterized by a fuzzy multi-objectives model, the adaptive ε-domination conception and a post-evaluation fuzzy logic controller. This approach could overcome some shortcomings of other multi-objective evolutionary algorithm (MOEA) methods used in reactive power optimization currently, which are time consuming computation, poor orientability and applicability. IEEE14, IEEE30 and IEEE118 systems were used to test the approach against some other popular MOEAs, results shows the method can maintain good search outcome and save a lot computation time. Moreover, the approach has been tested in some actual systems, which approves its efficiency also.