摘要
为了解决风火机组动态组合优化问题,重点针对时间耦合的动态特性及混合整数变量的求解,提出改进的基于非支配排序的遗传算法NSGA-Ⅱ(non-dominated sorting genetic algorithm-Ⅱ),引入节能减排理念,建立以CO2与SO2排放量及机组燃煤、启停费用最低的多目标函数。采用双层优化策略分别对启停离散量和负荷分配连续量进行寻优求解,引入模糊最大满意度决策法对Pareto解集进行决策,并嵌套在每次动态求解过程中。通过对某含风电场的10机组算例进行仿真,其结果表明了该方法的可行性和有效性。
To solve the dynamic unit commitment optimization with wind-thermal power, and considering the time-coupling dynamics and the solution to mixed-integer variables, an algorithm is proposed to improve the non-dominated sorting genetic algorithm-II（NSGA-II）. With the introduction of the concept of energy-saving and emission reduction, a muhiobjective function is built, which aims to minimize the emission of CO2 and SO2, coal consumption, and start-stop cost. Double-optimization strategy is adopted to solve the discrete start-stop variables and the continuous load distribu- tion variables separately, and fuzzy satisfaction-maximizing method is introduced to make a decision on the Pareto solu- tion set, which is also imbedded into each dynamic solution. The simulation on a 10-unit wind farm shows that the pro- posed method is feasible and effective.
作者
王进
周宇轩
戴伟
李亚峰
宋翼颉
WANG Jin ZHOU Yuxuan DAI Wei LI Yafeng SONG Yijie(College of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410114, China College of Electrical and Information Engineering Hunan University of Technology, Zhuzhou 412007, China)
出处
《电力系统及其自动化学报》
CSCD
北大核心
2017年第2期107-111,共5页
Proceedings of the CSU-EPSA
关键词
节能减排
机组组合
多目标
最大满意度决策
基于非支配排序的遗传算法-II
双层优化
energysaving and emission reduction
unit commitment
multi- objective
satisfaction- maximizing decision
non-dominated sorting genetic algorithm-II
double optimization
