| 引用本文: | 杨 舟,刘 招,吕嘉玮,等.多策略混合搜索的变时段人工蜂群算法及应用[J].灌溉排水学报,2021,(5):100-105. |
| YANG Zhou,LIU Zhao,LYU Jiawei,et al.多策略混合搜索的变时段人工蜂群算法及应用[J].灌溉排水学报,2021,(5):100-105. |
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| 摘要: |
| 【目的】研究非汛期洪水、中小洪水调度和发电调度模拟中时段步长和约束条件在较长系列上的融合优化，提升水库调度综合效益。【方法】建立了多策略混合搜索的变时段的人工蜂群算法，构建了长系列可变时段的多约束下发电量最大的水库优化调度模型，对万安水库进行实例应用。【结果】非汛期水量利用率提高了3%，加强了对洪水资源的利用；多策略混合搜索的人工蜂群优化算法缓解了多约束条件优化模拟计算时，时段步长选取与运算精度和收敛速度之间的矛盾，有效提升了标准人工蜂群算法的寻优效率与开发能力。【结论】研究成果可为非汛期洪水、中小洪水调度和发电调度综合效益的提升提供依据。 |
| 关键词: 水库优化调度；多策略；混合搜索；人工蜂群算法；变时段步长 |
| DOI：10.13522/j.cnki.ggps.2020592 |
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| Solving Artificial Bee Colony Algorithm with Time Varying Strategy by Multiple Strategy Hybrid Search: Method and Application |
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YANG Zhou, LIU Zhao, LYU Jiawei, LEI Xiaohui
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1.School of Water and Environment, Chang’an University, Xi’an 710054, China; 2.Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region of Ministry of Education, Chang’an University, Xi’an 710054, China;3. China Energy Construction Group Shanxi Electric Power Survey and Design Institute Co., LTD., Taiyuan 030000, China;4. China Institute of Water Resources and Hydropower, Beijing 100000, China
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| Abstract: |
| 【Background】For reservoirs with non-flood season floods, small and medium-sized floods as important water resources or high water utilization rate, it is very meaningful to establish a reasonable step-size optimization model with variable time period and obtain a relatively high precision solution result. However, few answers have been given to this question over the years.【Objective】In order to study the integration and optimization of time step size and constraints in long series in non-flood season flood, medium and small flood regulation and power generation dispatching simulation, and to improve the comprehensive benefits of reservoir operation.【Method】A multi-strategy hybrid search algorithm for artificial bee colony in variable time period was established, and the optimal operation model of reservoir with the largest generating capacity under multiple constraints in a long series of variable time periods was constructed, based on the case application of Wan’an Reservoir.【Result】In non-flood season, the water utilization rate increased by 3%, which enhanced the utilization of flood resources; the artificial bee colony optimization algorithm with Multi Strategy hybrid search alleviated the contradiction between the selection of time step size and the calculation precision and convergence speed in the multi constraint optimization simulation calculation, and effectively improved the optimization efficiency and opening of standard artificial bee colony algorithm Ability.【Conclusion】The research results can provide ideas for improving the comprehensive benefits of non-flood season flood, medium and small flood regulation and power generation dispatching. |
| Key words: optimal reservoir operation; many strategies; hybrid search; artificial bee colony algorithm; change the step length of time |
