DocumentCode :
157686
Title :
Sensitivity analysis of a simulation model for evaluating renewable distributed generation on a power network
Author :
Mena, Rodrigo ; Zio, Enrico ; Hennebel, Martin
Author_Institution :
Syst. Sci. & the Energetic Challenge, Ecole Centrale Paris - Supelec, Paris, France
fYear :
2014
fDate :
7-10 July 2014
Firstpage :
1
Lastpage :
6
Abstract :
We present a sensitivity analysis of a simulation model for the evaluation of the performance of a renewable distributed generation (DG) network. Uncertainties in renewable energy sources, components failure and repair events, loads and grid power supply are taken into account. The sensitivity analysis is performed with respect to the characteristic uncertain variables associated to each type of DG technology available. The impact of these uncertain variables is evaluated in terms of two performance functions, global cost (Cg) and energy not supplied (ENS). The results show the trends of performance of the DG-integrated network under different conditions. This allows evaluating the impact of the different technologies.
Keywords :
Monte Carlo methods; distributed power generation; failure analysis; maintenance engineering; power generation faults; power grids; renewable energy sources; sensitivity analysis; DG-integrated network; Monte Carlo simulation; characteristic uncertain variables; components failure; distributed generation network; energy not supplied; global cost; grid power supply; power network; renewable distributed generation performance evaluation; renewable energy sources; repair events; sensitivity analysis; simulation model; Analytical models; Equations; Load modeling; Power demand; Sensitivity analysis; Uncertainty; Monte Carlo simulation; distribution network; renewable energy generation; sensitivity analysis; uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Probabilistic Methods Applied to Power Systems (PMAPS), 2014 International Conference on
Conference_Location :
Durham
Type :
conf
DOI :
10.1109/PMAPS.2014.6960673
Filename :
6960673
Link To Document :
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