| Cite this article: | 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,0,():-. |
| YANG Zhou,LIU Zhao,LV 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,0,():-. |
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| Variable Period Artificial Bee Colony Algorithm Based on Multi Strategy Hybrid Search and I’ts Application |
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YANG Zhou1, LIU Zhao1, LV Jiawei2, LEI Xiaohui3
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1.School of Water and Environment,Chang’an University,Xi’an;2.China Energy Construction Group Shanxi Electric Power Survey and Design Institute Co,LTD;3.China Institute of water resources and hydropower
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| Abstract: |
| 【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】The artificial bee colony algorithm with Multi Strategy hybrid search and variable time interval was established, and the optimal operation model of the reservoir with the largest power generation under multiple constraints in a long series of variable time periods was constructed. 【Result】In non flood season, the average annual power generation increased by 1423.05 kW . h; the water utilization rate increased by 2.8%, 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 |
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