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Considering system uncertainties in developing power system algorithms such as congestion management (CM) is a vital issue in power system analysis and studies. This paper proposes a new model for the power system congestion management, considering power system uncertainties based on the chance constrained programming (CCP). In the proposed approach, transmission constraints are taken into account by stochastic models instead of deterministic models. The proposed approach considers networkdoi:10.3906/elk-1306-88 fatcat:dg5zadglcvgpznd34tmvvadycq