Abstract

Methods are discussed for planning oriented smart grid control to cope with scenarios with limited predictability, supporting an increasing penetration of stochastic renewable resources. The performance of these methods is evaluated with simulations using measured wind generation and consumption data. Forecast errors are shown to affect worst case behavior in particular, the severity of which depends on the chosen adaptivity strategy and error model.
Original languageEnglish
Title of host publication2012 IEEE PES Innovative Smart Grid Technologies (ISGT) Europe
Place of PublicationUSA
PublisherIEEE Power & Energy Society
Pages-
Number of pages8
ISBN (Print)978-1-4673-2595-0
DOIs
StatePublished - 16 Oct 2012
Event2012 IEEE PES Innovative Smart Grid Technologies Europe, ISGT Europe 2012 - Berlin, Germany

Publication series

Name
PublisherIEEE Power & Energy Society

Conference

Conference2012 IEEE PES Innovative Smart Grid Technologies Europe, ISGT Europe 2012
Abbreviated titleISGT Europe
CountryGermany
CityBerlin
Period14/10/1216/10/12

Fingerprint

Planning

Keywords

  • Wind Energy
  • Energy management
  • Linear Programming
  • IR-84277
  • EWI-22713
  • METIS-296175
  • Smart Grids

Cite this

Toersche, H., Nykamp, S., Molderink, A., Hurink, J. L., & Smit, G. J. M. (2012). Controlling smart grid adaptivity. In 2012 IEEE PES Innovative Smart Grid Technologies (ISGT) Europe (pp. -). USA: IEEE Power & Energy Society. DOI: 10.1109/ISGTEurope.2012.6465748

Toersche, Hermen; Nykamp, Stefan; Molderink, Albert; Hurink, Johann L.; Smit, Gerardus Johannes Maria / Controlling smart grid adaptivity.

2012 IEEE PES Innovative Smart Grid Technologies (ISGT) Europe. USA : IEEE Power & Energy Society, 2012. p. -.

Research output: Scientific - peer-reviewConference contribution

@inbook{b14fb6720bfa43129e987d27e0d42c55,
title = "Controlling smart grid adaptivity",
abstract = "Methods are discussed for planning oriented smart grid control to cope with scenarios with limited predictability, supporting an increasing penetration of stochastic renewable resources. The performance of these methods is evaluated with simulations using measured wind generation and consumption data. Forecast errors are shown to affect worst case behavior in particular, the severity of which depends on the chosen adaptivity strategy and error model.",
keywords = "Wind Energy, Energy management, Linear Programming, IR-84277, EWI-22713, METIS-296175, Smart Grids",
author = "Hermen Toersche and Stefan Nykamp and Albert Molderink and Hurink, {Johann L.} and Smit, {Gerardus Johannes Maria}",
year = "2012",
month = "10",
doi = "10.1109/ISGTEurope.2012.6465748",
isbn = "978-1-4673-2595-0",
publisher = "IEEE Power & Energy Society",
pages = "--",
booktitle = "2012 IEEE PES Innovative Smart Grid Technologies (ISGT) Europe",

}

Toersche, H, Nykamp, S, Molderink, A, Hurink, JL & Smit, GJM 2012, Controlling smart grid adaptivity. in 2012 IEEE PES Innovative Smart Grid Technologies (ISGT) Europe. IEEE Power & Energy Society, USA, pp. -, 2012 IEEE PES Innovative Smart Grid Technologies Europe, ISGT Europe 2012, Berlin, Germany, 14-16 October. DOI: 10.1109/ISGTEurope.2012.6465748

Controlling smart grid adaptivity. / Toersche, Hermen; Nykamp, Stefan; Molderink, Albert; Hurink, Johann L.; Smit, Gerardus Johannes Maria.

2012 IEEE PES Innovative Smart Grid Technologies (ISGT) Europe. USA : IEEE Power & Energy Society, 2012. p. -.

Research output: Scientific - peer-reviewConference contribution

TY - CHAP

T1 - Controlling smart grid adaptivity

AU - Toersche,Hermen

AU - Nykamp,Stefan

AU - Molderink,Albert

AU - Hurink,Johann L.

AU - Smit,Gerardus Johannes Maria

PY - 2012/10/16

Y1 - 2012/10/16

N2 - Methods are discussed for planning oriented smart grid control to cope with scenarios with limited predictability, supporting an increasing penetration of stochastic renewable resources. The performance of these methods is evaluated with simulations using measured wind generation and consumption data. Forecast errors are shown to affect worst case behavior in particular, the severity of which depends on the chosen adaptivity strategy and error model.

AB - Methods are discussed for planning oriented smart grid control to cope with scenarios with limited predictability, supporting an increasing penetration of stochastic renewable resources. The performance of these methods is evaluated with simulations using measured wind generation and consumption data. Forecast errors are shown to affect worst case behavior in particular, the severity of which depends on the chosen adaptivity strategy and error model.

KW - Wind Energy

KW - Energy management

KW - Linear Programming

KW - IR-84277

KW - EWI-22713

KW - METIS-296175

KW - Smart Grids

U2 - 10.1109/ISGTEurope.2012.6465748

DO - 10.1109/ISGTEurope.2012.6465748

M3 - Conference contribution

SN - 978-1-4673-2595-0

SP - -

BT - 2012 IEEE PES Innovative Smart Grid Technologies (ISGT) Europe

PB - IEEE Power & Energy Society

ER -

Toersche H, Nykamp S, Molderink A, Hurink JL, Smit GJM. Controlling smart grid adaptivity. In 2012 IEEE PES Innovative Smart Grid Technologies (ISGT) Europe. USA: IEEE Power & Energy Society. 2012. p. -. Available from, DOI: 10.1109/ISGTEurope.2012.6465748