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求翻译,准了再追加20分

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求翻译,准了再追加20分
The steady state model of DG is used in this paper. This
model is suitable for some kind of DGs such as gas turbine,
combustion engines and hydro generation. DGs are modelled
as constant power factor units. Considering this point, the bus
connected to the DG can be modeled as PQ bus [13]. The
output and the ramp rate are two constraints for this kind of
DG. It must be pointed out that minimum output of some
generation is an important constraint because of the
cogeneration. They must generate certain power to ensure the
heat supply [9]. These constraints can be written as set of
equations 7 with dg N as the number of installed DG in the
system. Now the problem can be stated as minimization of the
objective function (OBF) satisfying all system constraints
stated above. A GA software package was written for
simulation of load shedding in electrical distribution networks
with and without DGs. This program initializes a random
sample of individuals with different parameters to be
optimized using the genetic algorithm approach. The
population size of 100 is found to be appropriate for our
problem. By tuning the GA parameters, the optimal
performance was reached with one child per pair of parents.
Chromosome length is of length number of buses plus one
fitness bit
DG的稳态模型是本文中使用.这
适用于某种DGS如燃气轮机,
内燃机和水力发电.DGS建模
恒功率因数的单位.考虑到这一点,公共汽车
连接到DG可以建模为PQ总线[ 13 ].的
输出和斜坡率的这种两个约束
DG.必须指出,一些最小输出
的生成是一个重要的约束,因为
热电联产.他们必须产生一定的功率保证
供热[ 9 ].这些限制可以写成的
方程7 DG N在安装DG的数量
系统.现在的问题可以表述为最小化的
目标函数(OBF)满足所有约束系统
上面所说的.一个遗传算法软件包被写为
在配电网负荷模拟
带和不带DGS.这个程序初始化一个随机的
不同参数的个体为样本
利用遗传算法优化.的
100的人口规模是适合我们的
问题.通过调节GA参数,优化
绩效是每对父母的一个孩子了.
染色体的长度是长的巴士数目加一
健身点