基于蝙蝠算法的梯级水电站群优化调度研究
Optimal Dispatching of Cascaded Hydropower Stations Based on Bat Algorithm
丁文昌 1雷晓辉 2于卫彬2
作者信息
- 1. 国电电力发展股份有限公司和禹水电开发公司,辽宁 本溪 117201
- 2. 中国水利水电科学研究院,北京 100038;河北工程大学水利水电学院,河北 邯郸 056038;河北工程大学河北省智慧水利重点实验室,河北 邯郸 056038
- 折叠
摘要
水电作为重要的清洁可再生能源,在清洁低碳发展的背景下,如何实现我国逐渐形成的大型梯级水电站群的调度运行具有十分重要的意义.水电开发持续投入的今天,不断增加同一梯级中水电站数目,传统寻优算法动态规划算法和逐步优化算法存在"维数灾"和计算时间过长问题,不断增加的梯级水电站数量对优化算法的条件难以实现.为此,引入蝙蝠算法运算梯级水电站群优化调度模型,并将其应用于浑江流域桓仁、太平哨和回龙山梯级水电站的优化调度.通过与逐步优化算法求解结果的比较分析,蝙蝠算法计算速度快、收敛效果好,优化结果令人满意.
Abstract
Hydropower as an important clean and renewable energy,how to realize the dispatching operation of giant scale cascaded hydropower stations which is gradually formed in our country is of great significance under the background of clean and low-carbon development.With the deepening of the hydropower development,the number of hydropower stations has continuously increased in one cascade.The traditional optimization algorithms,such as Dynamic Programming(DP)algorithm and Progressive Optimization Algorithm(POA),encountered the dimensions disasters and overlong calculation time,so that they were difficult to meet the requirement of optimization algorithm for the increasing number of cascaded hydropower stations.For this purpose,the Bat Algorithm(BA)was introduced to solve the optimization scheduling model of cascaded hydropower stations in this paper,and was applied to the optimization scheduling of the cascaded hydropower stations with Huanren hydropower station,Huilongshan hydropower station and Taipingshao hydropower station in the Hunjiang River.By comparing with the application results of Progressive Optimization Algorithm(POA),it showed the advantages of BA on computing speed and convergence,and the optimal result was satisfied.
关键词
梯级水电站群/优化调度/蝙蝠算法/频率/脉冲发射率/响度Key words
cascaded hydropower stations/optimal dispatching/Bat Algorithm/frequency/pulse emissivity/loudness引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据