Optimal Scheduling of Hydrothermal System with Network and Ramping via SCE-UA Method

摘要

This paper describes a method for scheduling large-scale hydrothermal power systems based on the shuffledcomplex evolution (SCE-UA) method. A multi-reservoir cascaded hydro-electric system with a non-linear relationshipbetween water discharge rate, net head and power generation is considered. The water transport delay between connectedreservoirs is also taken into account. SCE-UA is a successfully proven method in global optimization for many situations.Benefiting from its unique global optimization strategies into the inverse procedure greatly enhances the performance ofSCE-UA method since it can not only effectively locate the promising areas in the solution space for a global minimumbut also avoid its wandering near the global minimum in the final stage of search. The efficiency of the SCE-UA methodis analyzed in terms of the mean performance and computational time, in comparison with the particle swarmoptimization (PSO) algorithm. The simulation results reveal that SCE-UA effectively overcomes the prematurephenomenon and improves the global convergence and optimization searching capability. It is a relatively consistent,effective and efficient optimization method in solving the large scale hydrothermal scheduling problem.