In this paper,
an effective methodology is proposed for the optimal allocation of conventional
(Gas turbines) and renewable based distributed generators (solar, wind) in the
distribution system (DS) are presented. The objectives are to minimize real,
reactive power losses and emission produced by the sources. Initially, the best
locations for placement of DGs are identified by voltage stability factor
(VSF) concept. The number and size of solar, wind based DGs and gas turbines
corresponding to these locations are determined by applying search based
dragonfly algorithm (DFA). The generation uncertainties associated with wind
and solar based DGs is effectively modeled by Weibull and beta probability
distribution functions (PDF) to determine the exact output power. Two different
scenarios, i.e. optimal allocation and the combination of different types DERs
in the distribution system is considered in this analysis. The developed method
is tested on IEEE 33 and 69 bus distribution systems. Finally, the obtained results
are compared with other promising methods in the literature. The results show
its effectiveness in terms of solving respective objective function.
Distributed Generators (DGs) Radial Distribution System (RDS) Radial Distribution System (RDS) Power loss minimization Probability Distribution Function (PDF) Distributed Generators (DGs)
Primary Language | English |
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Subjects | Engineering |
Journal Section | Electrical & Electronics Engineering |
Authors | |
Publication Date | March 1, 2019 |
Published in Issue | Year 2019 Volume: 32 Issue: 1 |