Uncertainty Sets for Wind Power Generation

Yury Dvorkin; Miles Lubin; Scott Backhaus; Michael Chertkov

doi:10.1109/TPWRS.2015.2476664

Uncertainty Sets for Wind Power Generation

Yury Dvorkin, Miles Lubin, Scott Backhaus, Michael Chertkov

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

As penetration of wind power generation increases, system operators must account for its stochastic nature in a reliable and cost-efficient manner. These conflicting objectives can be traded-off by accounting for the variability and uncertainty of wind power generation. This letter presents a new methodology to estimate uncertainty sets for parameters of probability distributions that capture wind generation uncertainty and variability.

Original language	English (US)
Article number	7268773
Pages (from-to)	3326-3327
Number of pages	2
Journal	IEEE Transactions on Power Systems
Volume	31
Issue number	4
DOIs	https://doi.org/10.1109/TPWRS.2015.2476664
State	Published - Jul 2016

Keywords

Power system operations
wind power uncertainty
wind power variability

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering

Access to Document

10.1109/TPWRS.2015.2476664

Cite this

@article{4ea835b0b4414faa9d3278819101e4b2,

title = "Uncertainty Sets for Wind Power Generation",

abstract = "As penetration of wind power generation increases, system operators must account for its stochastic nature in a reliable and cost-efficient manner. These conflicting objectives can be traded-off by accounting for the variability and uncertainty of wind power generation. This letter presents a new methodology to estimate uncertainty sets for parameters of probability distributions that capture wind generation uncertainty and variability.",

keywords = "Power system operations, wind power uncertainty, wind power variability",

author = "Yury Dvorkin and Miles Lubin and Scott Backhaus and Michael Chertkov",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.",

year = "2016",

month = jul,

doi = "10.1109/TPWRS.2015.2476664",

language = "English (US)",

volume = "31",

pages = "3326--3327",

journal = "IEEE Transactions on Power Systems",

issn = "0885-8950",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "4",

}

TY - JOUR

T1 - Uncertainty Sets for Wind Power Generation

AU - Dvorkin, Yury

AU - Lubin, Miles

AU - Backhaus, Scott

AU - Chertkov, Michael

PY - 2016/7

Y1 - 2016/7

N2 - As penetration of wind power generation increases, system operators must account for its stochastic nature in a reliable and cost-efficient manner. These conflicting objectives can be traded-off by accounting for the variability and uncertainty of wind power generation. This letter presents a new methodology to estimate uncertainty sets for parameters of probability distributions that capture wind generation uncertainty and variability.

AB - As penetration of wind power generation increases, system operators must account for its stochastic nature in a reliable and cost-efficient manner. These conflicting objectives can be traded-off by accounting for the variability and uncertainty of wind power generation. This letter presents a new methodology to estimate uncertainty sets for parameters of probability distributions that capture wind generation uncertainty and variability.

KW - Power system operations

KW - wind power uncertainty

KW - wind power variability

UR - http://www.scopus.com/inward/record.url?scp=84942066065&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84942066065&partnerID=8YFLogxK

U2 - 10.1109/TPWRS.2015.2476664

DO - 10.1109/TPWRS.2015.2476664

M3 - Article

AN - SCOPUS:84942066065

SN - 0885-8950

VL - 31

SP - 3326

EP - 3327

JO - IEEE Transactions on Power Systems

JF - IEEE Transactions on Power Systems

IS - 4

M1 - 7268773

ER -

Uncertainty Sets for Wind Power Generation

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this