GAxujinpeng
所属分类：Windows编程
开发工具：matlab
文件大小：9KB
下载次数：132
上传日期：2009-03-13 16:02:24
上 传 者：
xujinpeng99
说明： 该方案可用于计算个人发电机产出，将最大可能满足电力系统的需求，以解决经济调度问题。发电机的数目在一个工厂是固定的为三个。然而，工厂的数目是可变的多达100个。请注意，一个工厂= 1染色体。然后计算出该方案的五个最经济的产出的发电机组，满足需求的总成本和染色体的适应度函数。
(The programme can be used to calculate the individual generator outputs that will best meet the demand of a power system so as to solve the economic dispatch problem. The number of generators in a plant is fixed to three however the number of plants is variable up to 100. Note that one plant = 1 chromosome. The programme then calculates the five most economical outputs of the generators, the total cost of meeting the demand and the chromosomes fitness functions. )
文件列表:
GA\desktop.ini (51, 2008-11-12)
GA\Fitness_fcnV2.m (3841, 2009-01-21)
GA\GA_DevelopmentV8.m (5814, 2009-01-22)
GA\Mate_functionV6.m (13538, 2009-01-21)
GA\randintegers.m (2677, 2008-12-29)
to use this programme simply run the file GA_developmentV8. The programme will then
run in the matlab window
This programme askes for the following
Number of generations - This is the required number of generations that the user wants
to run the programme
Number of plants - This is the required number of plants and can be any number from 5
to 100. Note that the programme default is 3 generators per
plant and 1 plant is also the same as 1 Chromosome
Number of mutations - this is based on the number of mutations that occure
per generation. Mutation is used to check for all possibilities
during the matting process
Number of bits per gene-This must be a number large hold the binary equilivant of the
largest generator value. Ususally 11 is sufficient
Demand in MW -Enter the demand of each plant. In simulation 850 was used
The output will be the
five best Chromosomes and the individuall generator values that will be most economic at
meeting the demand
The total cost for each chromosome to meet the demand in $/Kwh
the fitness functions of the best 5 chromosomes
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