傅利,周步祥,林虹江.基于混合变量动态优化算法的含风电电力系统多目标动态优化调度[J].电测与仪表,2015,52(10):. FU Li,ZHOU Bu-xiang,LIN Hong-jiang.Dynamic Optimization Algorithm based on Hybrid Variable Containing Wind Power System Multi-Objective Dynamic Optimization Scheduling[J].Electrical Measurement & Instrumentation,2015,52(10):.
基于混合变量动态优化算法的含风电电力系统多目标动态优化调度
Dynamic Optimization Algorithm based on Hybrid Variable Containing Wind Power System Multi-Objective Dynamic Optimization Scheduling
Because theSwind powerShas theScharacteristics ofSrandomness,Suncertainty,starting from theSsafe and stable operation of the systemSpoint of view,Sthis paper considers theSprediction biasSof load andSwind power and the faultSof units,establishesSan analytical expression of the probabilitySofSspinning reserve,Swhich was introduced into theSSmulti-objectiveSmulti period dynamic optimization model andSthe constraint conditionSin wind power systemS. Based on the NSGA - II ,the paper designes a mixed 0-1 variables of dynamic optimization Algorithm to solve the model. The algorithm base on hierarchical optimization method of mixed integer variables, in order to achieve at the same time realize the unit start-stop and load distribution of multi-objective optimization; The algorithm introduced ahead of schedule, the thought to adjacent coupling for processing time constraints, so as to realize the dynamic optimization of time scheduling. Finally through the case analysis on the simulation of the model, simulation results show feasibility and rationality of the model and algorithm of effective.
