DocumentCode
1717740
Title
Probabilistic analysis of dispersed generation and smart grid technologies on electric power distribution networks
Author
Rejc, Matej ; Davidov, Sreten ; Pantos, Milos
Author_Institution
Fac. of Electr. Eng., Univ. of Ljubljana, Ljubljana, Slovenia
fYear
2015
Firstpage
1
Lastpage
6
Abstract
In this paper, we present a short description of the planned development of renewable generation in the Slovenian electric power system, and present a method to assess the impact of large-scale renewable generation by taking into account different smart grid technologies. As deterministic methods cannot take into account the uncertainties inherent for renewable generation, we propose a probabilistic power flow method for the assessment of uncertainties using Monte Carlo simulation. A general overview of renewable generation uncertainty is presented, and the proposed method is tested on an actual Slovenian electric power distribution system. Here, two smart grid approaches are used - smart energy storage and topology switching in order to improve power system operation. The results of the proposed approach define the probability distribution of power flows and voltages, which may help the operator to take the uncertainties of renewable sources into account during daily operation, or during long-term system planning.
Keywords
Monte Carlo methods; power distribution planning; probability; renewable energy sources; smart power grids; Monte Carlo simulation; Slovenian electric power system; daily operation; dispersed generation; during long term system planning; electric power distribution networks; large scale renewable generation; probabilistic analysis; probabilistic power flow method; smart grid technology; uncertainty assessment; Energy storage; Histograms; Load flow; Probabilistic logic; Smart grids; Uncertainty; Monte Carlo simulation; Probabilistic power flow; renewable sources of energy; smart grids;
fLanguage
English
Publisher
ieee
Conference_Titel
European Energy Market (EEM), 2015 12th International Conference on the
Conference_Location
Lisbon
Type
conf
DOI
10.1109/EEM.2015.7216608
Filename
7216608
Link To Document