Simulation of transcontinental wind and solar PV generation time series

被引：40

作者：

Nuno, Edgar ^{[1
]}

Maule, Petr ^{[1
]}

Hahmann, Andrea ^{[1
]}

Cutululis, Nicolaos ^{[1
]}

Sorensen, Poul ^{[1
]}

Karagali, Ioanna ^{[1
]}

机构：

[1] Tech Univ Denmark, Dept Wind Energy, Roskilde, Denmark

来源：

RENEWABLE ENERGY | 2018年 / 118卷

关键词：

Large-scale integration; Renewable energy sources; Solar power; Wind power; POWER; MODEL;

D O I：

10.1016/j.renene.2017.11.039

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

The deployment of Renewable Energy Sources (RES) is driving modern power systems towards a fundamental green transition. In this regard, there is a need to develop models to accurately capture the variability of wind and solar photovoltaic (PV) power, at different geographical and temporal scales. This paper presents a general methodology based on meteorological reanalysis techniques allowing to simulate aggregated RES time series over large geographical areas. It also introduces a novel PV conversion approach based on aggregated power curves in order to capture the uncertainty associated to the technical characteristics of individual installations spread across large regions. The proposed methodology is validated using actual power data in Europe and can be applied to represent intermittent generation in network development plans, reliability and market studies, as well as operational guidelines. (C) 2017 Elsevier Ltd. All rights reserved.

引用

页码：425 / 436

页数：12

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