摘要
在基于常规方法的水电站水库发电调度图绘制方法中,由于选取典型水文年样本数量有限,使其水文特征代表性有局限性。引入粒子群算法,利用所有历史实测资料绘制水电站发电运行调度图。该算法通过粒子间的信息共享来实现求解,具有计算简便,收敛速度快的优点。通过实际生产项目的应用,证明采用粒子群算法绘制水电站水库发电运行调度图能够克服常规绘制方法中的一些缺点,在保证可靠性指标的同时,提高了水电站的运行效益,为优化方法在水电站中长期调度中的应用提供了一种实用的途径。
In past,when drawing the operation chart of reservoir,limited samples of hydraulic characteristics are used.However,particles swarm optimization（PSO） this paper introduced has the advantage of simple calculation and good convergence,and it uses of all information from historical data available to draw reservoir operation chart.PSO has been applied in practice and obtained the satisfactory results compared with previous method,which is an useful reference to medium and long-term optimal operation of hydropower station.
出处
《电力系统保护与控制》
EI
CSCD
北大核心
2010年第14期59-62,共4页
Power System Protection and Control
基金
国家自然科学基金资助项目(50609007)~~
关键词
粒子群算法
发电调度图
发电效益
particle swarm optimization algorithm
reservoir operation chart
power generation benefit
