| 弹性粒子群优化算法及其在水电优化调度中的应用 |
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| 引用本文： | 陈烨兴,罗云霞,周慕逊.弹性粒子群优化算法及其在水电优化调度中的应用[J].河海大学学报(自然科学版),2010,38(6):603-607. |
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| 作者姓名： | 陈烨兴 罗云霞 周慕逊 |
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| 作者单位： | 浙江大学建筑工程学院;浙江水利水电专科学校电气工程系;台州学院物理与电子工程学院; |
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| 摘 要： | 为有效避免粒子群优化算法后期收敛速度慢的问题,提高寻优能力,设计了一种以自适应方式更新粒子飞行速度的弹性粒子群优化算法,建立了水电优化调度数学模型,提出了弹性粒子群优化算法解决水电优化调度问题的实现方法,包括粒子编码设计、适应度函数设计以及弹性修正值设计,并编制了基于Matlab语言的优化程序.实例仿真结果表明:弹性粒子群优化算法是有效的;相比基本粒子群优化算法和自适应粒子群优化算法,弹性粒子群优化算法求解水电优化调度问题具有更强的全局寻优能力和更快的收敛速度.
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| 关 键 词： | 水电工程 优化调度 粒子群优化算法 |
| 修稿时间： | 2010/11/18 0:00:00 |
Application of resilient particle swarm optimization in optimal cheduling of hydropower projects |
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| CHEN Ye-xing,LUO Yun-xia,ZHOU Mu-xun.Application of resilient particle swarm optimization in optimal cheduling of hydropower projects[J].Journal of Hohai University (Natural Sciences ),2010,38(6):603-607. |
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| Authors: | CHEN Ye-xing LUO Yun-xia ZHOU Mu-xun |
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| Institution: | CHEN Ye-xing1,LUO Yun-xia2,ZHOU Mu-xun3(1.College of Civil Engineering and Architecture,Zhejiang University,Hangzhou 310058,China,2.Department of Electric Engineering,Zhejiang Water Conservancy and Hydropower College,Hangzhou 310018,3.School of Physics and Electronic Engineering,Taizhou University,Taizhou 317000,China) |
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| Abstract: | In order to avoid the slow convergence speed of particle swarm optimization (PSO) algorithm at the later stage and to improve its searching ability,a resilient particle swarm optimization (RPSO) algorithm was designed,which updates particle velocity by an adaptive scheme.A mathematical model for the optimization problem of hydropower projects was established.The realization method of the RPSO algorithm for the optimal scheduling of hydropower projects was proposed,including design of particle coding,design ... |
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| Keywords: | hydropower project optimal scheduling particle swarm optimization |
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