| 基于改进蚁群算法的雅砻江流域梯级联合优化调度研究 |
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| 引用本文： | 徐刚.基于改进蚁群算法的雅砻江流域梯级联合优化调度研究[J].中国农村水利水电,2013,0(2):141-145. |
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| 作者姓名： | 徐刚 |
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| 作者单位： | 三峡大学水利与环境学院 |
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| 基金项目： | 环保公益性行业科研专项项目 |
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| 摘 要： | 提出一种改进蚁群算法(IACO,Improved ant colony optimization algorithm)求解梯级水库群优化调度问题，算法的改进主要包括嵌入邻域搜索和禁忌搜索，初始解生成技术和基于可行性的目标函数比较规则。论文以雅砻江流域梯级五级电站联合运行为背景，对蚁群算法和改进蚁群算法的求解质量和收敛性进行比较，实例验证表明，改进蚁群算法可以获得较好的优化调度结果。
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| 关 键 词： | 改进蚁群算法 梯级电站 优化调度 雅砻江流域 |
| 收稿时间： | 2012-08-21 |
| 修稿时间： | 2012-09-06 |
Research on Yalong River's Long-term Scheduling Based on Improved Ant Colony Optimization Algorithm |
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| Abstract: | This paper proposes an improved ant colony optimization algorithm (IACO) to solve cascade hydro scheduling problem. In the proposed method, the improvements mainly include three aspects. Firstly, the neighborhood search and tabu search is embedded in IACO; secondly, the generation technology of initial solution is adopted in IACO; thirdly, a feasibility-based selection comparison technique is devised to handle constraints effectively in IACO. The feasibility and effectiveness of the proposed IACO method is demonstrated for optimal generation scheduling of YaLong River hydro system and the test results are compared with ACO in terms of solution quality and convergence property. The simulation results show that the proposed method is able to obtain good solution. |
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