期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2019
卷号：10
期号：10
页码：316-322
出版社：Science and Information Society (SAI)
摘要：Power loss is one aspect of an electric power system
performance indicator. Loss of power can have an impact on
poor voltage performance at the receiving end. DG integration in
the network has become one of the more powerful methods. To
get the maximum benefit from synchronizing the system with
DG, it is necessary to ascertain the size, location, and type of DG.
This study aims to determine the capacity and location of DG
connections for DG type I and type II. To address the aim of this
paper, a metaheuristic solution based on a firefly algorithm is
used. FA can cover up the lack of metaheuristic algorithms that
require a long computational time. To ensure that the load bus
location solution is selected as the best DG connection location,
the input of the load bus candidate has been filtered based on
stability sensitivity. The proposed method is tested on IEEE 30
buses. The optimization results show a decrease in power loss
and an increase in bus voltage, which affects an increase in
system stability by integrating three DG units. FA validation of
the evolution-based algorithm shows a significant reduction in
computational time.
关键词：Firefly algorithm; time computation; real power
loss index; voltage profile index; multi-type DG
