摘要
水电厂规模大、机组负荷水平高,需要实现负荷优化分配目标,帮助水电厂节省生产成本。因此,将对水电厂厂内经济运行情况进行研究,主要提出拟梯度遗传算法的应用,在分析已有研究成果的基础上,构建数学模型,利用拟梯度遗传算法完成相关分析工作。最后进行仿真算例分析,为实际应用提供参考。
The scale of hydropower plant is large and the load level of unit is high,so it is necessary to realize the goal of optimal load distribution and help hydropower plant save production cost.The economic operation of hydropower plant is studied,and the application of quasi-gradient genetic algorithm is put forward.On the basis of analyzing the existing research results,the mathematical model is constructed,and the quasi-gradient genetic algorithm is used to complete the correlation analysis.Finally,a simulation example is carried out to provide a reference for practical application.
作者
王富超
WANG Fu-chao(Yunnan Huadian Jinsha River Middle Reach Hydropower Development Co.,Ltd.,Kunming 650228,China)
出处
《通信电源技术》
2019年第12期111-112,共2页
Telecom Power Technology
关键词
拟梯度遗传算法
水电厂
经济运行
quasi-gradient genetic algorithm
hydropower plant
economic operation