Simulation of transcontinental wind and solar PV generation time series

Edgar Nuño Martinez; Petr Maule; Andrea  N. Hahmann; Nicolaos Antonio Cutululis; Poul Ejnar Sørensen; Ioanna Karagali

doi:10.1016/j.renene.2017.11.039

Simulation of transcontinental wind and solar PV generation time series

Edgar Nuño Martinez^*, Petr Maule, Andrea N. Hahmann, Nicolaos Antonio Cutululis, Poul Ejnar Sørensen, Ioanna Karagali

^*Corresponding author for this work

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Abstract

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.

Original language	English
Journal	Renewable Energy
Volume	118
Pages (from-to)	425-436
ISSN	0960-1481
DOIs	https://doi.org/10.1016/j.renene.2017.11.039
Publication status	Published - 2018

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title = "Simulation of transcontinental wind and solar PV generation time series",

abstract = "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.",

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AU - Nuño Martinez, Edgar

AU - Maule, Petr

AU - Hahmann, Andrea N.

AU - Cutululis, Nicolaos Antonio

AU - Sørensen, Poul Ejnar

AU - Karagali, Ioanna

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

U2 - 10.1016/j.renene.2017.11.039

DO - 10.1016/j.renene.2017.11.039

M3 - Journal article

SN - 0960-1481

VL - 118

SP - 425

EP - 436

JO - Renewable Energy

JF - Renewable Energy

ER -

Simulation of transcontinental wind and solar PV generation time series

Abstract

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