The Application And Research Of Advanced Genetic Algorithm Model In Innerplant Economical Operation For Lianhua Hydroelectric Power Station

The innerplant economical operation in hydroelectric power station is a problem of selecting hydraulic units to be in service during a scheduling period, and to optimally allocate the load demand and the spinning period, and to optimally allocate the load demand and the spinning reserve among the running units while satisfying a variety of contains.This calculated schedule is proposed in order to get maximum economical benefit.The simplification model of innerplant economical operation was proposed commonly while neglecting a great deal of constraints when scholars at home and abroad have been studying the problem.So this thesis presents a model,aiming at the key questions for innerplant economical operation.In the model, many constraints such as the cost for start-up/shut-down status of units,compulsory constraints for unit start/shut,minimum up/down time limits and spinning reserve requirements are also considered.According to the characteristics of the model,this model can be divided into two sub-models,namely the"unit commitment"decision and the"economic dispatch"decision.Anadvanced genetic algorithm approach to the problem is discussed.