This paper proposes a novel and efficient algorithm to obtain the optimal power flow in power system operation and planning phases by solving a multiobjective optimization problem. In deciding the optimal system operation, various objectives, such as economy, reliability and minimum influence on environments, should simultaneously be attained. However, these objectives are contradictory to each other and are in trade-off relations, thus making it difficult to handle this class of problem by conventional approaches which optimizes a single performance index.the optimal load flow problem is first formulated as a multi-objective optimization problem. €-constrained technique is used to obtain a set of non-inferiority solutions. Then, we introduce the idea of a preference index to decide the optimum solution. In this particular study, security index is chosen as the preference index.The proposed algorithm has made it possible to treat the optimal dispatch problems with multiple performance indices and to grasp trade-off relations between selected indices. The effect of uncertain factors pertaining to power systems can also be taken into account.The validity and effectiveness of the proposed approach is verified through numerical examples on the IEEE 30 node, 6 generator system.In the proposed algorithm,

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