Sensitivity analysis of a simulation model for evaluating renewable distributed generation on a power network

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 individually 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 (C g) 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 DG technologies.
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Communication dans un congrès
PMAPS 2014, Jul 2014, Durham, United Kingdom. IEEE, Proceedings of the 2014 International Conference on Probabilistic Methods Applied to Power Systems, pp.1 - 6, 2014, 〈10.1109/PMAPS.2014.6960673〉
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Rodrigo Mena, Martin Hennebel, Enrico Zio. Sensitivity analysis of a simulation model for evaluating renewable distributed generation on a power network. PMAPS 2014, Jul 2014, Durham, United Kingdom. IEEE, Proceedings of the 2014 International Conference on Probabilistic Methods Applied to Power Systems, pp.1 - 6, 2014, 〈10.1109/PMAPS.2014.6960673〉. 〈hal-01090352〉

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