摘要
针对滨海地区水资源系统的特点,以加权相对总缺水深度最小和系统供水总成本最小为目标,建立了平原河网、平原水库群和远距离调水工程体系的水资源多目标优化调度模型;利用多目标粒子群算法(MOPSO)求解,提出了各类约束条件的处理方法,并得到非劣解集;采用距理想解欧拉距离最小准则,得到最好权衡两个目标的最佳协调解,并取得相应的调度结果。以江苏沿海为背景开展实证研究,验证了所建模型和求解方法的有效性。
The conflict between water supply and demand become more and more serious in coastal area of our country.Therefore,it is meaningful to make optimal and joint operation of limited fresh water resources so as to relieve the conflict.With the objective of minimizing the weighted sum of water deficit and the total water supply cost,a water resources multi-objective optimal operation model was established according to the characteristics of the coastal area water resources system.The system consists of water supply projects in plain river networks,reservoirs and a water diversion project.A multi-objective particle swarm optimization algorithm was employed to solving the model,the approach of processing various types of constrains was proposed,and the pareto solutions were obtained.The best coordinated solution for the two goals was obtained based on the rule that the Euler distance from the ideal solution is minimum,then the corresponding operation results were gained.The case study was carried out in the coastal areas of Jiangsu province,which proved that the proposed method is effective.
出处
《南水北调与水利科技》
CAS
CSCD
北大核心
2016年第1期59-66,共8页
South-to-North Water Transfers and Water Science & Technology
基金
国家自然科学基金(51179044
51379055)~~
关键词
水资源优化调度
滨海地区
联合供水
多目标模型
多目标粒子群算法
water resources optimal operation
coastal area
joint water supply
multi-objective optimization model
multi-objective particle swarm optimization
作者简介
闫堃（1990-），男，河北怀来人，主要从事水资源规划与管理方面研究。E-mail：hhuswyyk@163．com
通讯作者：钟平安（1962-），男，安徽无为人，博土教授，主要从事水资源规划与管理方面研究。E-mail：zhong@hhu．edu．cn
