Optimal placement of photovoltaic systems from the aspect of minimal power losses in distribution network based on genetic algorithm

In this paper, an optimal placement of photovoltaic systems as a source of active power in radial distribution network is considered. The objective of this optimization problem is minimizing system losses and improving voltage profiles based on optimal placement and sizing of photovoltaic systems. T...

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Main Authors: Dakić Pavle L., Kotur Dimitrije S.
Format: Article
Language:English
Published: VINCA Institute of Nuclear Sciences 2018-01-01
Series:Thermal Science
Subjects:
Online Access:http://www.doiserbia.nb.rs/img/doi/0354-9836/2018/0354-98361800223D.pdf
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spelling doaj-10561070c77f4aeaa2a34b8c4235735e2021-01-02T05:06:58ZengVINCA Institute of Nuclear SciencesThermal Science0354-98362334-71632018-01-0122Suppl. 41157117010.2298/TSCI170528223D0354-98361800223DOptimal placement of photovoltaic systems from the aspect of minimal power losses in distribution network based on genetic algorithmDakić Pavle L.0Kotur Dimitrije S.1School of Electrical Engineering, BelgradeSchool of Electrical Engineering, BelgradeIn this paper, an optimal placement of photovoltaic systems as a source of active power in radial distribution network is considered. The objective of this optimization problem is minimizing system losses and improving voltage profiles based on optimal placement and sizing of photovoltaic systems. The maximal installed capacity of photovoltaic systems in distribution network is predefined and must not be exceeded. The simulation is done for three different cases from the aspect of input data (characteristic days for each month, Monte Carlo simulation, and whole year data). In this way, both consumption behavior and solar potential are considered in order to find optimal solution. Genetic algorithm is implemented for the calculation of optimal solution.http://www.doiserbia.nb.rs/img/doi/0354-9836/2018/0354-98361800223D.pdfphotovoltaic systemsoptimal placement and sizingpower loss reductionvoltage profilegenetic algorithm
collection DOAJ
language English
format Article
sources DOAJ
author Dakić Pavle L.
Kotur Dimitrije S.
spellingShingle Dakić Pavle L.
Kotur Dimitrije S.
Optimal placement of photovoltaic systems from the aspect of minimal power losses in distribution network based on genetic algorithm
Thermal Science
photovoltaic systems
optimal placement and sizing
power loss reduction
voltage profile
genetic algorithm
author_facet Dakić Pavle L.
Kotur Dimitrije S.
author_sort Dakić Pavle L.
title Optimal placement of photovoltaic systems from the aspect of minimal power losses in distribution network based on genetic algorithm
title_short Optimal placement of photovoltaic systems from the aspect of minimal power losses in distribution network based on genetic algorithm
title_full Optimal placement of photovoltaic systems from the aspect of minimal power losses in distribution network based on genetic algorithm
title_fullStr Optimal placement of photovoltaic systems from the aspect of minimal power losses in distribution network based on genetic algorithm
title_full_unstemmed Optimal placement of photovoltaic systems from the aspect of minimal power losses in distribution network based on genetic algorithm
title_sort optimal placement of photovoltaic systems from the aspect of minimal power losses in distribution network based on genetic algorithm
publisher VINCA Institute of Nuclear Sciences
series Thermal Science
issn 0354-9836
2334-7163
publishDate 2018-01-01
description In this paper, an optimal placement of photovoltaic systems as a source of active power in radial distribution network is considered. The objective of this optimization problem is minimizing system losses and improving voltage profiles based on optimal placement and sizing of photovoltaic systems. The maximal installed capacity of photovoltaic systems in distribution network is predefined and must not be exceeded. The simulation is done for three different cases from the aspect of input data (characteristic days for each month, Monte Carlo simulation, and whole year data). In this way, both consumption behavior and solar potential are considered in order to find optimal solution. Genetic algorithm is implemented for the calculation of optimal solution.
topic photovoltaic systems
optimal placement and sizing
power loss reduction
voltage profile
genetic algorithm
url http://www.doiserbia.nb.rs/img/doi/0354-9836/2018/0354-98361800223D.pdf
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