57. Optimization Model of Multitype Generating Units Based on the Latin Hypercube Sampling Method and Mean Lower Semiabsolute Deviation Theory

The scheduling optimization of multiple-type generators is of great significance for the economic operation of the power system and the target achievement of energy-saving emission reduction. This chapter builds a two-stage fire and water turbine scheduling the optimization model based on the power performance. Firstly, this chapter simulated the output scenarios of wind power based on the Latin hypercube sampling (LHS) method; then, we minimized the wind curtailment as the main objective, selected the minimization of the system generating energy costs and the generating pollutant emissions as objective functions for cogeneration performance scheduling, and constructed multiple types of generators scheduling the optimization model. The optimization model can guarantee the timely adjustment and output stability for thermal power units in different scenarios, and thus promote the wind power integration.