基于ACS的水质水量联合调度
发布时间：2019-04-24 08:10
【摘要】：为了满足各行业对水资源数量及质量的需求,使水资源调度更加科学、有效,开展基于改进布谷鸟算法(ACS)的水质水量联合调度研究。根据水库实际供需水关系建立水资源优化调度模型,在考虑经济目标与社会需求的同时,加入水质因子来体现环境目标;引入边界变异策略和自适应步长调整策略,提出ACS,并将其应用于水质水量联合调度模型的求解中。以乌鲁木齐乌拉泊水库为例,验证了该联合调度模型的可行性。
[Abstract]:In order to meet the demand of quantity and quality of water resources in various industries and make water resource scheduling more scientific and effective, a joint scheduling study of water quality and quantity based on improved cuckoo algorithm (ACS) was carried out. The optimal operation model of water resources is established according to the relationship between actual supply and demand of water in reservoir. While considering the economic objectives and social needs, water quality factors are added to reflect the environmental objectives. The boundary mutation strategy and adaptive step size adjustment strategy are introduced, and ACS, is proposed and applied to solve the joint dispatching model of water quality and quantity. Taking Urumqi Urapor reservoir as an example, the feasibility of the joint operation model is verified.
【作者单位】： 新疆大学电气工程学院;
【基金】：国家自然科学基金资助项目(51106132,51408069) 新疆维吾尔自治区自然科学基金资助项目(2015211C272)
【分类号】：TV213.4;X52
本文编号：2464285
[Abstract]:In order to meet the demand of quantity and quality of water resources in various industries and make water resource scheduling more scientific and effective, a joint scheduling study of water quality and quantity based on improved cuckoo algorithm (ACS) was carried out. The optimal operation model of water resources is established according to the relationship between actual supply and demand of water in reservoir. While considering the economic objectives and social needs, water quality factors are added to reflect the environmental objectives. The boundary mutation strategy and adaptive step size adjustment strategy are introduced, and ACS, is proposed and applied to solve the joint dispatching model of water quality and quantity. Taking Urumqi Urapor reservoir as an example, the feasibility of the joint operation model is verified.
【作者单位】： 新疆大学电气工程学院;
【基金】：国家自然科学基金资助项目(51106132,51408069) 新疆维吾尔自治区自然科学基金资助项目(2015211C272)
【分类号】：TV213.4;X52
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