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

Research output: Contribution to journalJournal articleResearchpeer-review

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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 languageEnglish
JournalRenewable Energy
Volume118
Pages (from-to)425-436
ISSN0960-1481
DOIs
Publication statusPublished - 2018

Cite this

@article{4f91c144542c44269b42c891e1b597a3,
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.",
author = "{Nu{\~n}o Martinez}, Edgar and Petr Maule and Hahmann, {Andrea N.} and Cutululis, {Nicolaos Antonio} and S{\o}rensen, {Poul Ejnar} and Ioanna Karagali",
year = "2018",
doi = "10.1016/j.renene.2017.11.039",
language = "English",
volume = "118",
pages = "425--436",
journal = "Renewable Energy",
issn = "0960-1481",
publisher = "Pergamon Press",

}

Simulation of transcontinental wind and solar PV generation time series. / Nuño Martinez, Edgar; Maule, Petr; Hahmann, Andrea N.; Cutululis, Nicolaos Antonio; Sørensen, Poul Ejnar; Karagali, Ioanna.

In: Renewable Energy, Vol. 118, 2018, p. 425-436.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Simulation of transcontinental wind and solar PV generation time series

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

VL - 118

SP - 425

EP - 436

JO - Renewable Energy

JF - Renewable Energy

SN - 0960-1481

ER -