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基于蚁群算法的水库调度图优化研究
引用本文:周念来,纪昌明.基于蚁群算法的水库调度图优化研究[J].武汉理工大学学报,2007,29(5):61-64.
作者姓名:周念来  纪昌明
作者单位:1. 武汉大学水资源与水电工程科学国家重点实验室,武汉,430072
2. 华北电力大学水资源与水利水电工程研究所,北京,102206
摘    要:在满足发电保证率的条件下,以年均发电量最大为目标,建立了基于模拟的水库调度图优化模型。通过混合编码描述调度线的形状,采用蚁群算法优化关键点,求解模型。以隔河岩水电站为研究背景,开展隔河岩水库优化调度图编制研究。计算结果表明,较原设计方案,水库优化调度图年均发电量可提高0.32亿kW.h,提高幅度约1.21%,经济效益显著。

关 键 词:优化  水库调度  调度图  蚁群算法
文章编号:1671-4431(2007)05-0061-04
修稿时间:2006-12-21

Optimal Reservoir Rule Curve Based on Ant Colony Optimization
ZHOU Nian-lai,JI Chang-ming.Optimal Reservoir Rule Curve Based on Ant Colony Optimization[J].Journal of Wuhan University of Technology,2007,29(5):61-64.
Authors:ZHOU Nian-lai  JI Chang-ming
Affiliation:1. State Key Laboratory of Water Resources and Hydropower Engineering Science,Wuhan University,Wuhan 430072, China;2. Institute of Water Resources and Hydropower Engineering, North China Electric Power University, Beijing 102206, China
Abstract:Based on Ant Colony Optimization(ACO),a simulation-optimization approach for deriving the optimal rule curve of reservoir was proposed and developed in this paper.The reservoir rule curve was described by some key points.After the simulation-based model was built,ACO was used to solve it and yielded optimal solution.As the case study of Geheyan hydropower plant,it was showed that the proposed method worked very well and could improve the hydropower generation greatly.
Keywords:optimization  reservoir operation  rule curve  ant colony optimization
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