摘要
多个供电源协调调度能够使得冷热电联供型微网运行综合效益达到最优,对此提出一种新的基于文化基因算法的方法。建立包含最小经济性运行成本和最小环保性运行成本的多目标函数模型,并为模型设置6个约束条件。在约束条件下,利用文化基因算法求取多目标函数模型最优解,得出冷热电联供型微网优化运行方案。结果表明,该方法应用,其综合效益以及两个单项成本较低,实现了多个供电源的协调调度。
The coordinated scheduling of multiple power sources can achieve the optimal overall efficiency of the operation of a combined cooling,heating,and power microgrid.A new method based on cultural gene algorithm is proposed for this purpose.Establishing a multi-objective function model that includes the minimum economic operating cost and the minimum environmental operating cost,and set 6 constraint conditions for the model.Under constraint conditions,the cultural gene algorithm is used to obtain the optimal solution of the multi-objective function model and obtain the optimal operation plan for the combined cooling,heating,and power microgrid.The results show that under the application of this method,its comprehensive benefits and two individual costs are relatively low,achieving coordinated scheduling of multiple power supplies.
作者
黄超
刘晨
HUANG Chao;LIU Chen(Wuling Power Corporation Ltd.,Changsha 410000,China)
出处
《微型电脑应用》
2023年第9期142-145,共4页
Microcomputer Applications
关键词
文化基因算法
冷热电联供型微网
多目标函数模型
约束条件
优化运行方法
cultural genetic algorithm
combined cooling,heating and power supply microgrid
multi-objective function model
constraints
optimized operation method
