摘要：This study proposes three enhanced multi-objective imperialist competitive algorithms: MOICA-I, MOICA-II and MOICA-III for solving multi-objective optimal reactive power dispatch (MOORPD) problem. In MOICA-I, the fuzzy power method is proposed to solve the application of imperialist competitive algorithm (ICA) in multi-objective problems (MOPs). In MOICA-II, based on the non-dominated sorting method and the crowded distance calculation, the constraint dominant method and the total rank method are proposed to solve the inequality constraint and the ranking of the solutions. In MOICA-III, combined with the fuzzy power method in MOICA-I and the constraint dominant method in MOICA-II, the power quantitation method is proposed to solve the above three problems simultaneously: the application of the ICA, the processing of the constraint and the measurement method of the solutions. In order to verify the effectiveness of the enhanced approaches for the MOORPD problem, three objective functions including total active power losses, voltage deviation and voltage stability index are considered. Simulation experiments are carried out in the IEEE 30, 57 and 118 bus systems. The results show that the enhanced approaches can effectively solve the MOORPD problem, and the performance of MOICA-III is outstanding.
关键词：Multi;objective optimal reactive power dispatch; imperialist competitive algorithm; fuzzy power method; constraint dominant method; power quantitation method
