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

由于风电功率具有随机性、不确定性等特点,从系统安全稳定运行的角度出发,文章综合考虑了机组的故障停运、负荷与风电的预测偏差这三种不确定因素,将概率性旋转备用用解析式表达,并将其引入到含风电场电力系统多目标多时段的动态优化调度模型及约束条件中。基于NSGA-II设计了一种0-1混合变量动态优化算法来求解该模型,该算法根据分层优化的方法处理整数混合变量,以达到同时实现机组启停与负荷分配的多目标优化;在求解过程中引入超前调度思想,对相邻时段约束耦合进行处理,从而实现多时段的动态优化调度。最后通过算例对模型进行仿真分析,仿真结果验证该模型的合理性和算法的有效可行性。

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.