Using time series simulation tool for assessing the effects of variable renewable energy generation on power and energy systems

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@article{1b80195bceaa42f197d1bda7f26be985,
title = "Using time series simulation tool for assessing the effects of variable renewable energy generation on power and energy systems",
abstract = "The increasing share of variable renewable energy (VRE) generation poses challenges to power systems. Possible challenges include adequacy of reserves, planning and operation of power systems, and interconnection expansion studies in future power systems with very different generation patterns compared to today. To meet these challenges, there is a need to develop models and tools to analyze the variability and uncertainty in VRE generation. To address the varied needs, the tools should be versatile and applicable to different geographical and temporal scales. Time series simulation tools can be used to model both today and future scenarios with varying VRE installations. Correlations in Renewable Energy Sources (CorRES) is a simulation tool developed at Technical University of Denmark, Department of Wind Energy capable of simulating both wind and solar generation. It uses a unique combination of meteorological time series and stochastic simulations to provide consistent VRE generation and forecast error time series with temporal resolution in the minute scale. Such simulated VRE time series can be used in addressing the challenges posed by the increasing share of VRE generation. These capabilities will be demonstrated through three case studies: one about the use of large‐scale VRE generation simulations in energy system analysis, and two about the use of the simulations in power system operation, planning, and analysis.",
keywords = "Energy systems, Power system, Simulation, Solar, Time series, Uncertainty, Variability, Wind",
author = "Koivisto, {Matti Juhani} and Kaushik Das and Feng Guo and Poul S{\o}rensen and Edgar Nu{\~n}o and Cutululis, {Nicolaos Antonio} and Petr Maule",
year = "2019",
doi = "10.1002/wene.329",
language = "English",
volume = "8",
journal = "Wiley Interdisciplinary Reviews: Energy and Environment",
issn = "2041-8396",
publisher = "JohnWiley & Sons, Inc.",
number = "3",

}

RIS

TY - JOUR

T1 - Using time series simulation tool for assessing the effects of variable renewable energy generation on power and energy systems

AU - Koivisto, Matti Juhani

AU - Das, Kaushik

AU - Guo, Feng

AU - Sørensen, Poul

AU - Nuño, Edgar

AU - Cutululis, Nicolaos Antonio

AU - Maule, Petr

PY - 2019

Y1 - 2019

N2 - The increasing share of variable renewable energy (VRE) generation poses challenges to power systems. Possible challenges include adequacy of reserves, planning and operation of power systems, and interconnection expansion studies in future power systems with very different generation patterns compared to today. To meet these challenges, there is a need to develop models and tools to analyze the variability and uncertainty in VRE generation. To address the varied needs, the tools should be versatile and applicable to different geographical and temporal scales. Time series simulation tools can be used to model both today and future scenarios with varying VRE installations. Correlations in Renewable Energy Sources (CorRES) is a simulation tool developed at Technical University of Denmark, Department of Wind Energy capable of simulating both wind and solar generation. It uses a unique combination of meteorological time series and stochastic simulations to provide consistent VRE generation and forecast error time series with temporal resolution in the minute scale. Such simulated VRE time series can be used in addressing the challenges posed by the increasing share of VRE generation. These capabilities will be demonstrated through three case studies: one about the use of large‐scale VRE generation simulations in energy system analysis, and two about the use of the simulations in power system operation, planning, and analysis.

AB - The increasing share of variable renewable energy (VRE) generation poses challenges to power systems. Possible challenges include adequacy of reserves, planning and operation of power systems, and interconnection expansion studies in future power systems with very different generation patterns compared to today. To meet these challenges, there is a need to develop models and tools to analyze the variability and uncertainty in VRE generation. To address the varied needs, the tools should be versatile and applicable to different geographical and temporal scales. Time series simulation tools can be used to model both today and future scenarios with varying VRE installations. Correlations in Renewable Energy Sources (CorRES) is a simulation tool developed at Technical University of Denmark, Department of Wind Energy capable of simulating both wind and solar generation. It uses a unique combination of meteorological time series and stochastic simulations to provide consistent VRE generation and forecast error time series with temporal resolution in the minute scale. Such simulated VRE time series can be used in addressing the challenges posed by the increasing share of VRE generation. These capabilities will be demonstrated through three case studies: one about the use of large‐scale VRE generation simulations in energy system analysis, and two about the use of the simulations in power system operation, planning, and analysis.

KW - Energy systems

KW - Power system

KW - Simulation

KW - Solar

KW - Time series

KW - Uncertainty

KW - Variability

KW - Wind

U2 - 10.1002/wene.329

DO - 10.1002/wene.329

M3 - Journal article

VL - 8

JO - Wiley Interdisciplinary Reviews: Energy and Environment

JF - Wiley Interdisciplinary Reviews: Energy and Environment

SN - 2041-8396

IS - 3

M1 - e329

ER -