智能化水力发电站机组调度的优化方法  

Research on Optimization Methodof Unit Dispatching of Intelligent Hydroelectric Power Station

作　　者：谢思颖 Xie Siying(Guangxi Agricultural Investment Modern Agricultural Service Co.,Ltd.Nanning 530000,China)

机构地区：[1]广西农投现代农业服务有限公司,南宁530000

出　　处：《黑龙江科学》2024年第8期66-69,共4页Heilongjiang Science

摘　　要：智能化水力发电站机组调度优化方法研究是针对水力发电站机组调度工作存在的问题引入智能化技术和优化算法,提出一种改进的机组调度方法,分析了智能化水力发电站机组的调度现状,提出了一种基于大数据技术、遗传算法、蚁群算法的优化调度系统,对该方法进行描述分析。实验证明,该系统的数据处理执行时间小于10 000 ms,可有效提高水电站的发电量及可靠性。The research on unit scheduling optimization of intelligent hydroelectric power station is aimed at the existing problems in unit scheduling of hydroelectric power station.The study proposed an improved unit scheduling method,analyzes the scheduling status of intelligent hydroelectric power station units.An optimized scheduling system based on big data technology,genetic algorithm and ant colony algorithm is proposed,and the method is described and analyzed in detail.The experiment proves that the data processing time of the system is less than 10000ms,and it can effectively improve the power generation and reliability of the hydropower station.

关 键 词：遗传算法 蚁群算法 运行评价系统 发电量 

分 类 号：TM73[电气工程—电力系统及自动化]