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- W2004920961 abstract "This paper presents an economic dispatch algorithm based on the genetic algorithm (GA) for the determination of the global or quasi-global optimum dispatch solution under consideration of transmission losses. In practice, the efficiency of GA is sometimes hindered by a poor performance in a localized search or by the difficulty of finding and maintaining feasibility for a constrained problem. To deal with these problems, an advanced genetic algorithm is developed. With the help of a local improvement operator, combined with a conjugate gradient method, the performance of the GA is enhanced. By means of heuristic scaling of fitness functions and adaptation of penalty factors, the genetic search in the feasible region can be improved. The algorithm is implemented in the binary search space and tested with multi-modal non-linear functions. The application of the algorithm to a test system is also demonstrated, where transmission losses are represented by the B-matrix loss formula." @default.
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- W2004920961 date "1999-11-01" @default.
- W2004920961 modified "2023-09-25" @default.
- W2004920961 title "Genetic algorithm solution to economic dispatch problems" @default.
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- W2004920961 doi "https://doi.org/10.1002/etep.4450090601" @default.
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