Economic Load Dispatch With Uncertainties In Thermal Power Plant

This thesis considers the unit commitment problem in the economic load dispatch for the thermal power plant.An optimization model which takes total fuel-cost as the objective function and takes into account many kinds of constraints is proposed.Genetic Algorithm(GA) is used to solve the optimization problem.The algorithm considers the start-up and shut-down of the units,thus makes the economic load dispatch more practical.Further,the optimal load dispatch problem with uncertainties is discussed.A mathematical model with the fuel-coal consumption uncertainties has been built.An algorithm combing the genetic algorithm and simulated annealing algorithm is proposed.Simulation results show that the algorithm can solve the economic load dispatch problem effectively.