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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VINCA Institute of Nuclear Sciences
2018-01-01
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Online Access: | http://www.doiserbia.nb.rs/img/doi/0354-9836/2018/0354-98361800223D.pdf |
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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 |
work_keys_str_mv |
AT dakicpavlel optimalplacementofphotovoltaicsystemsfromtheaspectofminimalpowerlossesindistributionnetworkbasedongeneticalgorithm AT koturdimitrijes optimalplacementofphotovoltaicsystemsfromtheaspectofminimalpowerlossesindistributionnetworkbasedongeneticalgorithm |
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1724359849736667136 |