Statistics for PV, wind and biomass generators and their impact on distribution grid planning

Stefan Nykamp; Albert Molderink; Johann L. Hurink; Gerardus Johannes Maria Smit

doi:10.1016/j.energy.2012.06.067

Statistics for PV, wind and biomass generators and their impact on distribution grid planning

Stefan Nykamp, Albert Molderink, Johann L. Hurink, Gerardus Johannes Maria Smit

Discrete Mathematics and Mathematical Programming

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

27 Citations (Scopus)

6 Downloads (Pure)

Abstract

The integration of renewable energy generation leads to major challenges for distribution grid operators. When the feed-in of photovoltaic (PV), biomass and wind generators exceed significantly the local consumption, large investments are needed. To improve the knowledge on the interaction between these technologies, statistical information for load curves, correlation coefficients and general feed-in behavior is derived. These derivations are based on measured data of different generators in a German distribution area. In this paper, we give new insights useful for the dimensioning of grid structures and assets. Furthermore, an approach is presented which allows the calculation of the maximum and minimum feed-in resulting from different combinations of the considered technologies.

Original language	Undefined
Pages (from-to)	924-932
Number of pages	9
Journal	Energy
Volume	45
Issue number	No. 1
DOIs	https://doi.org/10.1016/j.energy.2012.06.067
Publication status	Published - 1 Sept 2012

Keywords

PhotovoltaicWind energyBiomass generationRenewable energy generationDistribution grid planning
Distribution grid planning
Wind Energy
Renewable energy generation
Biomass generation
EWI-22186
METIS-287983
IR-81360
Photovoltaic

UN SDGs

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

Access to Document

10.1016/j.energy.2012.06.067

http://eprints.eemcs.utwente.nl/secure2/22186/01/EGY4421.pdf

Cite this

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title = "Statistics for PV, wind and biomass generators and their impact on distribution grid planning",

abstract = "The integration of renewable energy generation leads to major challenges for distribution grid operators. When the feed-in of photovoltaic (PV), biomass and wind generators exceed significantly the local consumption, large investments are needed. To improve the knowledge on the interaction between these technologies, statistical information for load curves, correlation coefficients and general feed-in behavior is derived. These derivations are based on measured data of different generators in a German distribution area. In this paper, we give new insights useful for the dimensioning of grid structures and assets. Furthermore, an approach is presented which allows the calculation of the maximum and minimum feed-in resulting from different combinations of the considered technologies.",

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AU - Nykamp, Stefan

AU - Molderink, Albert

AU - Hurink, Johann L.

AU - Smit, Gerardus Johannes Maria

N1 - eemcs-eprint-22186

PY - 2012/9/1

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AB - The integration of renewable energy generation leads to major challenges for distribution grid operators. When the feed-in of photovoltaic (PV), biomass and wind generators exceed significantly the local consumption, large investments are needed. To improve the knowledge on the interaction between these technologies, statistical information for load curves, correlation coefficients and general feed-in behavior is derived. These derivations are based on measured data of different generators in a German distribution area. In this paper, we give new insights useful for the dimensioning of grid structures and assets. Furthermore, an approach is presented which allows the calculation of the maximum and minimum feed-in resulting from different combinations of the considered technologies.

KW - PhotovoltaicWind energyBiomass generationRenewable energy generationDistribution grid planning

KW - Distribution grid planning

KW - Wind Energy

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KW - Biomass generation

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KW - METIS-287983

KW - IR-81360

KW - Photovoltaic

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DO - 10.1016/j.energy.2012.06.067

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