Real-time dispatch of a portfolio with intermittent generation via model predictive control

D.S. van Hamersveld, J. Frunt, A. Kechroud, W.L. Kling, H.W.M. Barends

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Abstract

Most renewable energy sources are intermittent by nature and limited controllable and therefore increase the risk of increment imbalance when integrated in the production portfolio. When imbalance increases, higher imbalance fees are payed to the Transmission System Operator (TSO) and will result in higher incremental costs. This study is to determine the influence of an intelligent dispatch of the production portfolio of Electrabel NL on the imbalance reduction and economic dispatch. The result is an cost comparison based on a number of normal operating days The second part evaluates the influence of the integration of 5%, 15%, and 25% of intermittent sources in the production portfolio. There are three scenarios simulated: no forecasting, persistence forecasting and perfect forecasting of the wind power output.
Original languageEnglish
Title of host publicationProceedings of the 45th International Universities Power Engineering Conference (UPEC), 31 August - 3 September 2010, Cardiff, Wales, United Kingdom
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages1-6
ISBN (Print)978-1-4244-7667-1
Publication statusPublished - 2010

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Imbalance
Model predictive control
Fees
Cost comparison
Persistence
Incremental cost
Scenarios
Wind power
Renewable energy sources
Integrated
Operator
Economics

Cite this

van Hamersveld, D. S., Frunt, J., Kechroud, A., Kling, W. L., & Barends, H. W. M. (2010). Real-time dispatch of a portfolio with intermittent generation via model predictive control. In Proceedings of the 45th International Universities Power Engineering Conference (UPEC), 31 August - 3 September 2010, Cardiff, Wales, United Kingdom (pp. 1-6). Piscataway: Institute of Electrical and Electronics Engineers.
van Hamersveld, D.S. ; Frunt, J. ; Kechroud, A. ; Kling, W.L. ; Barends, H.W.M. / Real-time dispatch of a portfolio with intermittent generation via model predictive control. Proceedings of the 45th International Universities Power Engineering Conference (UPEC), 31 August - 3 September 2010, Cardiff, Wales, United Kingdom. Piscataway : Institute of Electrical and Electronics Engineers, 2010. pp. 1-6
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van Hamersveld, DS, Frunt, J, Kechroud, A, Kling, WL & Barends, HWM 2010, Real-time dispatch of a portfolio with intermittent generation via model predictive control. in Proceedings of the 45th International Universities Power Engineering Conference (UPEC), 31 August - 3 September 2010, Cardiff, Wales, United Kingdom. Institute of Electrical and Electronics Engineers, Piscataway, pp. 1-6.

Real-time dispatch of a portfolio with intermittent generation via model predictive control. / van Hamersveld, D.S.; Frunt, J.; Kechroud, A.; Kling, W.L.; Barends, H.W.M.

Proceedings of the 45th International Universities Power Engineering Conference (UPEC), 31 August - 3 September 2010, Cardiff, Wales, United Kingdom. Piscataway : Institute of Electrical and Electronics Engineers, 2010. p. 1-6.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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AU - Frunt, J.

AU - Kechroud, A.

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AU - Barends, H.W.M.

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AB - Most renewable energy sources are intermittent by nature and limited controllable and therefore increase the risk of increment imbalance when integrated in the production portfolio. When imbalance increases, higher imbalance fees are payed to the Transmission System Operator (TSO) and will result in higher incremental costs. This study is to determine the influence of an intelligent dispatch of the production portfolio of Electrabel NL on the imbalance reduction and economic dispatch. The result is an cost comparison based on a number of normal operating days The second part evaluates the influence of the integration of 5%, 15%, and 25% of intermittent sources in the production portfolio. There are three scenarios simulated: no forecasting, persistence forecasting and perfect forecasting of the wind power output.

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van Hamersveld DS, Frunt J, Kechroud A, Kling WL, Barends HWM. Real-time dispatch of a portfolio with intermittent generation via model predictive control. In Proceedings of the 45th International Universities Power Engineering Conference (UPEC), 31 August - 3 September 2010, Cardiff, Wales, United Kingdom. Piscataway: Institute of Electrical and Electronics Engineers. 2010. p. 1-6