Stochastic Methods for Planning and Operating Power Systems with Large Amounts of Wind and Solar Power: Preprint

Stochastic Methods for Planning and Operating Power Systems with Large Amounts of Wind and Solar Power: Preprint

Building Technologies and Science Center

Research output: Contribution to conference › Paper

Abstract

Wind and solar generators differ in their generation characteristics than conventional generators. The variable output and imperfect predictability of these generators face a stochastic approach to plan and operate the power system without fundamentally changing the operation and planning problems. This paper overviews stochastic modeling challenges in operations, generation planning, andtransmission planning, with references to current industry and academic work. Different stochastic problem formulations, including approximations, are also discussed.

Original language	American English
Number of pages	8
State	Published - 2012
Event	11th Annual International Workshop on Large-Scale Integration of Wind Power into Power Systems as well as on Transmission Networks for Offshore Wind Power Plants Conference - Lisbon, Portugal Duration: 13 Nov 2012 → 15 Nov 2012

Conference

Conference	11th Annual International Workshop on Large-Scale Integration of Wind Power into Power Systems as well as on Transmission Networks for Offshore Wind Power Plants Conference
City	Lisbon, Portugal
Period	13/11/12 → 15/11/12

NREL Publication Number

NREL/CP-5500-56208

Keywords

generation planning
long-term planning
National Renewable Energy Laboratory (NREL)
NREL
probabilistic modeling
transmission planning
variable generation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

https://www.nrel.gov/docs/fy12osti/56208.pdf

Cite this

NREL (2012). Stochastic Methods for Planning and Operating Power Systems with Large Amounts of Wind and Solar Power: Preprint. Paper presented at 11th Annual International Workshop on Large-Scale Integration of Wind Power into Power Systems as well as on Transmission Networks for Offshore Wind Power Plants Conference, Lisbon, Portugal. https://www.nrel.gov/docs/fy12osti/56208.pdf

@conference{8e580853588b42539e32b502d1baaccf,

title = "Stochastic Methods for Planning and Operating Power Systems with Large Amounts of Wind and Solar Power: Preprint",

abstract = "Wind and solar generators differ in their generation characteristics than conventional generators. The variable output and imperfect predictability of these generators face a stochastic approach to plan and operate the power system without fundamentally changing the operation and planning problems. This paper overviews stochastic modeling challenges in operations, generation planning, andtransmission planning, with references to current industry and academic work. Different stochastic problem formulations, including approximations, are also discussed.",

keywords = "generation planning, long-term planning, National Renewable Energy Laboratory (NREL), NREL, probabilistic modeling, transmission planning, variable generation",

author = "NREL",

year = "2012",

language = "American English",

note = "11th Annual International Workshop on Large-Scale Integration of Wind Power into Power Systems as well as on Transmission Networks for Offshore Wind Power Plants Conference ; Conference date: 13-11-2012 Through 15-11-2012",

}

NREL 2012, 'Stochastic Methods for Planning and Operating Power Systems with Large Amounts of Wind and Solar Power: Preprint', Paper presented at 11th Annual International Workshop on Large-Scale Integration of Wind Power into Power Systems as well as on Transmission Networks for Offshore Wind Power Plants Conference, Lisbon, Portugal, 13/11/12 - 15/11/12. <https://www.nrel.gov/docs/fy12osti/56208.pdf>

Stochastic Methods for Planning and Operating Power Systems with Large Amounts of Wind and Solar Power: Preprint. / NREL.
2012. Paper presented at 11th Annual International Workshop on Large-Scale Integration of Wind Power into Power Systems as well as on Transmission Networks for Offshore Wind Power Plants Conference, Lisbon, Portugal.

Research output: Contribution to conference › Paper

TY - CONF

T1 - Stochastic Methods for Planning and Operating Power Systems with Large Amounts of Wind and Solar Power: Preprint

AU - NREL, null

PY - 2012

Y1 - 2012

N2 - Wind and solar generators differ in their generation characteristics than conventional generators. The variable output and imperfect predictability of these generators face a stochastic approach to plan and operate the power system without fundamentally changing the operation and planning problems. This paper overviews stochastic modeling challenges in operations, generation planning, andtransmission planning, with references to current industry and academic work. Different stochastic problem formulations, including approximations, are also discussed.

AB - Wind and solar generators differ in their generation characteristics than conventional generators. The variable output and imperfect predictability of these generators face a stochastic approach to plan and operate the power system without fundamentally changing the operation and planning problems. This paper overviews stochastic modeling challenges in operations, generation planning, andtransmission planning, with references to current industry and academic work. Different stochastic problem formulations, including approximations, are also discussed.

KW - generation planning

KW - long-term planning

KW - National Renewable Energy Laboratory (NREL)

KW - NREL

KW - probabilistic modeling

KW - transmission planning

KW - variable generation

M3 - Paper

T2 - 11th Annual International Workshop on Large-Scale Integration of Wind Power into Power Systems as well as on Transmission Networks for Offshore Wind Power Plants Conference

Y2 - 13 November 2012 through 15 November 2012

ER -

Stochastic Methods for Planning and Operating Power Systems with Large Amounts of Wind and Solar Power: Preprint

Abstract

Conference

NREL Publication Number

Keywords

UN SDGs

Access to Document

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Cite this