Optimization of unit commitment of marine power system using improved genetic algorithm

In accordance with the characteristics of the unit commitment problem in marine power system,we propose an improved genetic algorithm with both float-point coding and binary coding.To apply the nonlinear 0-1 mixed integer programming to the optimization of the unit commitment,other items in the algorithm are modified accordingly,including the coding and decoding modes,initial population creation,constraint conditions disposal,fitness function selection,genetic operators and the control parameters modulation.In the application of this improved algorithm,not only the constraint conditions can be handled more readily,but the convergence speed and the solution precision are also improved.The application advantage is demonstrated by a 2% reduction in average oil consumption rate.