Abstract
In this paper, a micro genetic algorithm based on migration and merit order loading solutions (MGAM-MOL) for solving the ramp rate constrained economic dispatch (ED) problems for combined cycle (CC) units with linear decreasing and decreasing staircase incremental cost (IC) functions is proposed. MGAM-MOL uses the merit order loading (MOL) solution as a base solution in order to reduce the micro genetic algorithm (MGA) search effort towards the optimal solution. To further improve the quality of the solution, the MGAM-MOL algorithm searches for the best individual in several sub-populations or species with different search sub-spaces. The best species individuals among species are exchanged through a migration process at the end of each generation. Test results indicate that the solution is near the optimal solution and is less expensive than those obtained from MGA, simple genetic algorithm (SGA), and MOLs especially for a large number of CC units, thereby leading to substantial fuel cost savings. Its average CPU times of MGAM-MOL also increase linearly as the number of units grows which is suitable for large scale implementation.
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