A Hybrid Intelligent Algorithm to Solve the Unit Commitment Problem


Generation unit’s commitment is a large complex decision making problem due to many difficulties such as multiple constraints, variety of unit’s specification and different fuel used. In this work a hybrid intelligent technique is produced by genetic algorithm seeded by LaGrange multiplier method to solve the unit commitment problem for a 10 units large dimension network system using multiple mitigation techniques. This is to reduce the adverse impacts of the difficulties mentioned above. The solution results in an optimal operation schedule during a 24 hours load profile serving a load demand in addition to a required spinning reserve