In this paper, an effective methodology has been
proposed for optimal allocation of renewable generation sources in the
distribution system. The objective of this work is to minimize real and
reactive power losses in the distribution systems. The output power of solar
DGs mainly depends upon solar irradiance level. So, before placement of these
sources random nature of solar irradiance should be effectively modeled. A beta
probability density function is used to model the solar irradiance and
determine the exact output power of these sources. Further, the best location
for placement of solar DGs is found out using loss sensitivity factor. The
optimal sizing of photo voltaic arrays corresponding to these locations is
determined using firefly algorithm (FA). Different time varying load models
such as residential, commercial and industrial has been considered for the
study along with probabilistic generation pattern. The developed method is
tested on IEEE 69 bus test system. The obtained results show that optimal
allocation of solar DGs in the distribution system gives a positive impact in
terms of achieving better loss reduction and voltage profile enhancement. A
comparative study is made for all the load models and the importance of
considering different load models is projected.
Distribution System (DS) Power loss minimization Firefly Algorithm (FA) Probability Density Function (PDF)
Primary Language | English |
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Subjects | Engineering |
Journal Section | Electrical & Electronics Engineering |
Authors | |
Publication Date | December 1, 2018 |
Published in Issue | Year 2018 Volume: 31 Issue: 4 |