首页 | 本学科首页   官方微博 | 高级检索  
     

基于免疫粒子群算法的水沙调度模型研究
引用本文:向波,纪昌明,彭杨,周婷.基于免疫粒子群算法的水沙调度模型研究[J].水力发电学报,2010,29(1).
作者姓名:向波  纪昌明  彭杨  周婷
作者单位:1. 中国水电顾问集团北京勘测设计研究院,北京,100024
2. 华北电力大学可再生能源学院,北京,100026
基金项目:华北电力大学引进人才科启基金(200525010)
摘    要:本文利用多目标规划的思想方法,结合免疫粒子群优化算法建立了水库水沙联调的多目标规划模型.该模型为协调水库发电效益和排沙减淤之间的矛盾提供了一个新的途径,所提出的算法是建立在非线性整体求解的理论基础之上,因此可以克服动态多目标规划的"维数灾".实例研究表明,本模型可以较好地模拟和优化水库运行状态.

关 键 词:水库优化调度  水沙优化调度  IA-PSO算法  水沙多目标决策

Study of water-sediment operating model based on immune particle swarm algorithm
XIANG Bo , JI Changming , PENG Yang , ZHOU Ting.Study of water-sediment operating model based on immune particle swarm algorithm[J].Journal of Hydroelectric Engineering,2010,29(1).
Authors:XIANG Bo  JI Changming  PENG Yang  ZHOU Ting
Affiliation:XIANG Bo~1,JI Changming~2,PENG Yang~2,ZHOU Ting~2(1.BeiJing Hydropower Investigation Design , Research Institute CHECC,BeiJing 100024,2.Renewable Energy Institute,North China Electricity Power University,BeiJing 102206)
Abstract:By applying the multi-objective planning theory and the immune PSO algorithm,this paper develops a water-sediment combined programming model that provides a new path for the coordination of power generation efficiency and reservoir sedimentation reduction.The algorithm is based on the nonlinear theory of global solution,and thus it can avoid the dimension disaster of dynamic multi-objective planning.Case studies indicate an improvement on simulation and optimization of reservoir operation.
Keywords:reservoir optimal operation  water-sediment optimal operation  particle swarm optimization algorithms with immunity  water-sediment multi-objective decision  
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号