dc.contributor.author | Radosavljević, Jordan | |
dc.contributor.author | Arsić, Nebojša | |
dc.contributor.author | Milovanović, Miloš | |
dc.contributor.author | Ktena, Aphrodite | |
dc.date.accessioned | 2022-09-21T06:51:18Z | |
dc.date.available | 2022-09-21T06:51:18Z | |
dc.date.issued | 2020-05 | |
dc.identifier.citation | TR33046 | en_US |
dc.identifier.uri | https://platon.pr.ac.rs/handle/123456789/529 | |
dc.description.abstract | The problem of optimal placement and sizing
(OPS) of renewable distributed generation (RDG) is followed
by numerous technical, economical, geographical, and ecological
constraints. In this paper, it is investigated from two view‐
points, namely the simultaneous minimization of total energy
loss of a distribution network and the maximization of profit
for RDG owner. The stochastic nature of RDG such as the wind
turbine and photovoltaic generation is accounted using suitable
probabilistic models. To solve this problem, a hybrid meta‐
heuristic algorithm is proposed, which is a combination of the
phasor particle swarm optimization and the gravitational
search algorithm. The proposed algorithm is tested on an IEEE
69-bus system for several cases in two scenarios. The results ob‐
tained by the hybrid algorithm shows that it provides high-qual‐
ity solution for all cases considered and has better performanc‐
es for solving the OPS problem compared to other metaheuris‐
tic population-based techniques. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Journal of Modern Power Systems and Clean Energy | en_US |
dc.rights | Ауторство-Некомерцијално-Без прерада 3.0 САД | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.title | Optimal placement and sizing of renewable distributed generation using hybrid metaheuristic algorithm | en_US |
dc.title.alternative | Journal of Modern Power Systems and Clean Energy | en_US |
dc.type | clanak-u-casopisu | en_US |
dc.description.version | publishedVersion | en_US |
dc.identifier.doi | 10.35833/MPCE.2019.000259 | |
dc.citation.volume | 8 | |
dc.citation.issue | 3 | |
dc.citation.spage | 499 | |
dc.citation.epage | 510 | |
dc.subject.keywords | Wind turbine | en_US |
dc.subject.keywords | photovoltaic generation | en_US |
dc.subject.keywords | optimal placement | en_US |
dc.subject.keywords | metaheuristic optimization | en_US |
dc.type.mCategory | M21 | en_US |
dc.type.mCategory | openAccess | en_US |
dc.type.mCategory | M21 | en_US |
dc.type.mCategory | openAccess | en_US |