基于改进遗传算法的水库群水质水量优化调度研究

发布时间：2018-06-13 02:29

本文选题：水库群 + 水质水量　；参考：《中国农村水利水电》2017年02期

【摘要】：研究水库群水质水量优化调度。根据水库群水质水量调度特点,建立多目标优化调度模型。针对水库群水质水量优化调度模型求解的复杂问题,提出了利用部分非可行解域来对模型进行分步优化的改进遗传算法,并探讨了主要参数对优化结果的影响。该算法成功应用于洪汝河流域的水质水量优化调度中。与传统遗传算法比较表明:改进算法的调度结果更优,计算效率及收敛性能更高,在水库群水质水量优化调度中具有高效性和实用性。
[Abstract]:The optimal operation of water quality and quantity of reservoirs is studied. According to the characteristics of water quality and quantity regulation of reservoirs, a multi-objective optimal operation model is established. In view of the complex problem of solving the optimal model of water quality and quantity of reservoirs, an improved genetic algorithm based on partial infeasible solution domain is proposed to optimize the model step by step, and the influence of main parameters on the optimization results is discussed. The algorithm has been successfully applied to the optimal regulation of water quality and quantity in the Honghu River Basin. Compared with the traditional genetic algorithm, the improved algorithm is more efficient and practical in the optimization of water quality and quantity of reservoirs.
【作者单位】：西北旱区生态水利工程国家重点实验室培育基地;山西水利职业技术学院;
【基金】：水利部公益性行业科研专项经费资助项目(2011010-11) 山西省水利科学技术研究与推广项目(201625)
【分类号】：TV697.12

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