摘要
建立了由沙畈水库和金兰水库组成的串联小水电群优化调度的数学模型,采用了改进遗传算法对该模型进行优化计算。算法设计编程简单、计算工作量小、收敛速度快。利用两个水库的入库径流实测值进行了仿真实验,结果说明优化调度能比常规调度取得更大的经济效益,同时也说明了遗传算法是求解小水电群优化调度的可行而有效的方法。
A mathematical model of optimal operation of series small hydropower stations in Shafan and Jinlan is formed, and an
improved genetic algorithm is adopted for optimal calculation. The algorithm is simple, the workload of calculation is small and
the speed of convergence is fast. Based on the measured inflow of two small reservoirs, a simulation is done, which proves that
optimal operation can produce much more economic benefit than routine operation, and GA is much more viable and efficient.
出处
《水电自动化与大坝监测》
2004年第3期66-69,共4页
HYDROPOWER AUTOMATION AND DAM MONITORING
基金
浙江省教育厅基金(20010323)
关键词
串联小水电群
优化调度
遗传算法
series small hydropower sations
optimal operation
genetic algorithm
