Optimal Load Distribution for Thermal Power Units Based on Improved Genetic Algorithm

The optimal load distribution for thermal power units can bring considerable economic benefits, and has become one of the hot topics all over the world. Genetic Algorithms has been used to optimize the load distribution for thermal power units, and achieved certain results, because of its special advantage. In order to accelerate optimization speed, improve computing accuracy, and avoid converging too early, the traditional genetic algorithm has been improved in these aspects such as the encoding, population size, selection operator, cross and mutation probability in this paper. When this algorithm is used in four 600MW condensing steam turbines, optimize distribution program based on improved genetic algorithm can be obtained. The result of numerical example shows that there is great energy saving potential.