摘要
针对梯级水电站水库群初始调度函数受数值模拟技术限制的特点,以减小其固有的误差累积效应为目的,建立了基于粒子群算法的调度函数优化模型。该模型充分保留了初始调度函数中的影响因子和常数系数的作用,在传统粒子构造基础上给出了误差粒子的构造方法,有利于较快得到模型的最优解。实例计算分析表明,利用该模型得到的调度函数进行梯级水电站水库群的调度,运行效益明显提高,验证了模型的实用性和有效性,为更好地挖掘梯级水电站水库群的潜在效益提供了理论支撑。
The initial dispatch function of cascaded hydroelectric stations is restricted by numerical simulation technology. Ai- ming at this characteristic, and in order to reduce the cumulative effect of the inherent error, the optimization model of dispatch function based on particle swarm optimization was established. This model fully retains the roles of the initial influence factor and the constant coefficient of dispatch function, and based on the structure of traditional particle, the construction method for the er- ror particles is given, which can quickly get the optimal solution. Instance analysis shows that the presented dispatch function can improve operation efficiency of cascade hydroelectric stations significantly, verifying the practicality and effectiveness of this mod- el.
出处
《人民长江》
北大核心
2013年第23期67-69,72,共4页
Yangtze River
基金
国家自然科学基金资助面上项目(51279062
51179069)
中央高校基本科研业务费专项资金资助(13QN22)
关键词
调度函数
粒子群算法
误差粒子
优化模型
梯级水电站调度
dispatch function
particle swarm algorithm
errors particles
optimization model
dispatch of cascade hydropower stations
