| 基于蚁群算法的泵站运行优化及投影寻踪选优策略 |
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| 引用本文： | 袁尧,刘超.基于蚁群算法的泵站运行优化及投影寻踪选优策略[J].农业机械学报,2013,44(3):38-44. |
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| 作者姓名： | 袁尧 刘超 |
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| 作者单位： | 扬州大学水利科学与工程学院,扬州,225009 |
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| 基金项目： | 国家自然科学基金资助项目(51279173);2010年江苏省水利动力工程重点实验室开放课题资助项目（K100019）;2010年度扬州大学研究生培养创新工程资助项目（扬大研〔2010〕9号） |
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| 摘 要： | 针对泵站优化运行计算时最优解评价指标单一的问题,建立了包含机组开停机约束的泵站优化运行数学模型和运行方案选优的投影寻踪决策模型.提出了求解泵站多机组优化运行模型的蚁群算法,并通过分析模型的特性改进了算法中启发式信息和信息素更新方式.对江都四站多机组日优化运行计算的结果显示,变量同等离散的情况下,利用蚁群算法优化的结果比用动态规划逐次逼近法优化的结果节省了2.8％的电费,前者相比设计工况运行时节省了29.2％的电费,且蚁群算法优化结果对应的运行方案中叶片调节次数少,机组运行时间短；方案选优时投影寻踪决策模型能够兼顾多个评价指标的优选,得到的运行方案不仅运行成本低,且更合理,更贴切于日常运行,可见改进后的蚁群算法结合投影寻踪决策模型在泵站优化运行及相近的领域有较大的实用价值.
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| 关 键 词： | 泵站 优化运行 蚁群算法 投影寻踪 |
Pump Operation Optimization and Projection Pursuit Evaluation Strategy Based on Ant Colony Optimization |
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| Yuan Yao and Liu Chao.Pump Operation Optimization and Projection Pursuit Evaluation Strategy Based on Ant Colony Optimization[J].Transactions of the Chinese Society of Agricultural Machinery,2013,44(3):38-44. |
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| Authors: | Yuan Yao and Liu Chao |
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| Institution: | Yangzhou University;Yangzhou University |
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| Abstract: | Usually the evaluation index of optimal pump operation solution is single. An optimal pump operation model which contained the constraint of start-stop pump unit was developed, and projection pursuit evaluation method for scheme optimization was proposed. The ant colony optimization algorithm was used to calculate the model. The heuristic information and the pheromone trail update method were improved by analyzing characters of the model for better performances. A calculation example for the No.4 Jiangdu pumping station was conducted. The results from ant colony optimization algorithm showed that 29.2% of energy fee could be saved under the designed operation condition, which was compared with the result from dynamic programming with successive approximation algorithm under the same discrete condition, and was better with 2.8% of the result from dynamic programming. The results from ant colony optimization algorithm had less times of the blade adjusting, and shorter operating time of the pumps. Projection pursuit evaluation could give consideration to multiple evaluation indexes. The evaluation result of projection pursuit not only has low electric fee, but also suitable for practical operation, which indicates that ant colony optimization algorithm combined with projection pursuit evaluation method can provide a high application value to the field of optimal operation of pumping stations and related fields. |
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| Keywords: | Pumping station Pump operation optimization Ant colony algorithm Projection pursuit |
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