Continuous Genetic Algorithm to Solve Economic Environmental Dispatch (EED)
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This paper presents the Continuous Genetic Algorithm (CGA) to solve the Economic Environmental Dispatch (EED) problem. The equality constraints of power balance and the inequality generator capacity constraints are considered. The EED problem is a biobjective non linear optimization problem since it is obtained by considering both the economy and emission objectives. This biobjectives problem is converted into a single objective function using a price penalty factor approach. In this paper CGA are tested on six generators system and the results are compared. The solutions are quite encouraging and useful in the EED.
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