Sensitivity Analysis of a Simulation Model for Evaluating Renewable Distributed Generation on a Power Network

被引：0

作者：

Mena, Rodrigo ^{[1
]}

Zio, Enrico ^{[1
]}

Hennebel, Martin ^{[2
]}

机构：

[1] Ecole Cent Paris SUPELEC, Chair Syst Sci & Energet Challenge, Paris, France

[2] SUPELEC, Dept Power & Energy Syst, Gif Sur Yvette, France

来源：

2014 INTERNATIONAL CONFERENCE ON PROBABILISTIC METHODS APPLIED TO POWER SYSTEMS (PMAPS) | 2014年

关键词：

distribution network; renewable energy generation; uncertainty; Monte Carlo simulation; sensitivity analysis; SYSTEMS;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

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.

引用

页数：6

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