Abstract
AbstractThis article presents an efficient genetic algorithm (GA) based fuzzy goal programming (FGP) approach to solve Congestion Management (CM) problem in electrical power transmission network by generation rescheduling or load shedding of participating generators and loads. In the proposed approach, FGP and GA are applied at two stages for model formulation and solving the problem of CM. The proposed approach is tested on the standard IEEE 6-Generator 30-Bus System and the model solution is compared with the solution obtained in a previous study.KeywordsCongestion managementFuzzy goal programmingGenetic algorithmLoad sheddingMembership functionOptimal power flow
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