| 基于PSO算法的水库防洪优化调度模型及应用 |
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| 引用本文： | 王国利,梁国华,彭勇,吕涑琦. 基于PSO算法的水库防洪优化调度模型及应用[J]. 水电能源科学, 2009, 27(1) |
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| 作者姓名： | 王国利 梁国华 彭勇 吕涑琦 |
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| 作者单位： | 大连理工大学,土木水利学院,辽宁,大连,116024 |
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| 基金项目： | 国家自然科学基金，国家科技支撑基金 |
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| 摘 要： | 针对传统的交互式洪水调度方案生成方式存在的缺陷,由基于PSO算法的洪水优化调度模型,提出了有条件限制的随机自动生成方式,并利用罚函数法处理边界条件和其他非等式约束.实例应用结果表明,较之常规的动态规划法,改进后的PSO算法计算速度快、结果合理,为流域防洪优化调度提供了有效途径.
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| 关 键 词： | 粒子群算法 初始微粒群 水库 防洪优化调度 |
Model of Flood Control Operation of Reservoir Based on Particle Swarm Optimization Algorithm and Its Application |
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| WANG Guoli LIANG Guohua PENG Yong LV Suqi. Model of Flood Control Operation of Reservoir Based on Particle Swarm Optimization Algorithm and Its Application[J]. International Journal Hydroelectric Energy, 2009, 27(1) |
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| Authors: | WANG Guoli LIANG Guohua PENG Yong LV Suqi |
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| Affiliation: | School of Civil and Hydraulic Engineering;Dalian University of Technology;Dalian 116024;China |
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| Abstract: | To solve the problems of current interactive ways of flood scheduling,this paper studies optimal ways by PSO algorithm.As initial data of PSO algorithm affect convergence rate,this paper develops a new way of random automatically generation with conditional restrictions.While solving optimal equation,we use penalty function to process boundary conditions and other non-equality constraints.A case study shows that the computation speed of the improved PSO algorithm is bigger than dynamic planning method and t... |
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| Keywords: | particle swarm algorithm initial microparticle swarm reservoirs optimal flood preventing scheduling |
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