首页 | 本学科首页   官方微博 | 高级检索  
     

水火电力系统短期优化调度的一种改进粒子群算法
引用本文:张景瑞,龙健,岳超源,王健,陈阳,李武.水火电力系统短期优化调度的一种改进粒子群算法[J].控制与决策,2011,26(3):407-412.
作者姓名:张景瑞  龙健  岳超源  王健  陈阳  李武
作者单位:1. 华中科技大学,系统工程研究所,武汉,430074
2. 华能澜沧江水电有限公司,昆明,650214
3. 湖南理工学院,信息与通信工程学院,湖南,岳阳,414006
摘    要:针对水火联调问题,建立满足电量平衡、水量平衡、机组特性及综合利用要求的短期优化调度模型,提出了一种改进粒子群算法(MPSO).MPSO针对粒子群算法易早熟收敛的弊端,引入了变异操作,使粒子以一定的概率向其他粒子个体最好解学习;针对粒子群算法在进化后期多样性受损易陷入局部最优的缺陷,引入了迁徙操作,在种群聚集程度不能容忍时重新生成解空间内均匀分布的粒子.对某典型水火电力系统优化问题的求解结果表明,MPSO比其他方法更有效.

关 键 词:优化调度  水火电力系统  粒子群算法  变异  迁徙
收稿时间:2009/12/3 0:00:00
修稿时间:2010/3/26 0:00:00

A Modified Particle Swarm Optimizer for Short-term Hydrothermal Scheduling with Cascaded Reservoirs
ZHANG Jing-rui,LONG Jian,YUE Chao-yuan,WANG Jian,CHEN Yang,LI Wu.A Modified Particle Swarm Optimizer for Short-term Hydrothermal Scheduling with Cascaded Reservoirs[J].Control and Decision,2011,26(3):407-412.
Authors:ZHANG Jing-rui  LONG Jian  YUE Chao-yuan  WANG Jian  CHEN Yang  LI Wu
Affiliation:1.Institute of Systems Engineering,Huazhong University of Science and Technology,Wuhan 430074,China; 2.Huaneng Lancang River Hydropower Co Ltd,Kunming 650214,China;3.School of Information and Communication Engineering,Hu’nan Institute of Science and Technology,Yueyang 414006,China.
Abstract:

An operation optimization model minimizing the thermal cost for short-term hydrothermal system with
cascaded reservoirs is established in the paper. Several constraints, such as power balance, water balance and the physical
characteristics of the plants, are considered. To overcome the shortcomings of a standard particle swarm optimizer(PSO),
a modified PSO(MPSO) is developed to solve this scheduling problem. Mutation and migration operators are introduced
respectively in the proposed method. The mutation operator makes particles learn others’ personal best solution with a
dynamically decrease probability. The migration operator regenerates a newly diverse population of individuals, once the
crowding level is smaller than the desired tolerance of population diversity. In order to inspect and verify the reasonable
of the operation optimization model and the validity of the proposed method, a famous hydrothermal power system in the
literatures is tested. The simulation results show that MPSO is more effective than other algorithms.

Keywords:

optimal operation|hydrothermal power systems|particle swarm optimization|mutation|migration

本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《控制与决策》浏览原始摘要信息
点击此处可从《控制与决策》下载全文
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