Solution to Unit Commitment Problem: Modified hGADE Algorithm

This research paper proposes a hybrid approach which is the extension of hGADE algorithm consisting of differential evolution and genetic algorithm aims at solving mixed-integer optimization problem called unit commitment scheduling problem. The ramp up and down constraints have been included for calculation of total operating cost of power system operation. The proposed approach is easy to implement and understand. The technique has been tested on six-unit system by taking into consideration various system and unit constraints for solving unit commitment problem. Hybridization of genetic algorithm and differential evolution has produced the significant improvement in overall results.