Skip to main content

Day-Ahead Versus Intraday Valuation of Flexibility for Photovoltaic and Wind Power Systems

  • Conference paper
  • First Online:
Operations Research Proceedings 2014

Part of the book series: Operations Research Proceedings ((ORP))

Abstract

This paper takes the perspective of a photovoltaic (PV) or wind power plant operator who wants to optimally allocate demand-side flexibility to maximize realizable production value. We compare two allocation alternatives: (1) use of flexible loads to maximize relative day-ahead market value by shifting the portfolio balance in view of day-ahead prices; (2) use of flexible loads in intraday operations to minimize the costs incurred when balancing forecast errors. We argue that the second alternative yields a greater average value than the first in continuous-trade intraday markets. The argument is backed by a market data analysis for Germany in 2013.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    The amount of slots within \(R^t\) depends on the time span by which demand can be shifted and on the granularity by which time is dissected into slots (e.g., 15 min versus one hour).

  2. 2.

    Note that these requirements are given in order to focus on the aspect under investigation—relative market value optimization for PV or wind. Relaxing the constraints is easily possible; however, it would introduce other effects, i.e. short day-ahead portfolios and demand volatility.

  3. 3.

    In Germany, the bulk of PV and wind power production is currently integrated into the market by the four transmission system operators (TSOs). The 61 % short positions refer to actual production deviations from forecasts, at an aggreagate level (sum of TSOs) for 15-min delivery slots.

  4. 4.

    This means that demand can be brought forward or postponed by up to two hours.

  5. 5.

    One hour covers four 15-min intervals. Considering the two hours prior and after the current delivery hour, we get a total of 17 slots, including the current slot.

References

  1. Feuerriegel, S., Neumann, D.: Measuring the financial impact of demand response for electricity retailers. Energy Policy 65, 359–368 (2014). doi:10.1016/j.enpol.2013.10.012

    Google Scholar 

  2. Garnier, E., Madlener, R.: Balancing forecast errors in continuous-trade intraday markets. FCN Working Paper No. 2/2014, RWTH Aachen University (2014). doi:10.2139/ssrn.2463199

  3. Garnier, E., Madlener, R.: Day-ahead versus intraday valuation of demand-side flexibility for photovoltaic and wind power systems. FCN Working Paper No. 17/2014, RWTH Aachen University (2014). doi:10.2139/ssrn.2556210

  4. Hagemann, S, Weber, C.: An empirical analysis of liquidity and its determinants in the German intraday market for electricity. EWL Working Papers 1317, University of Duisburg-Essen (2013). http://ideas.repec.org/p/dui/wpaper/1317.html

  5. Hirth, L.: The market value of variable renewables: the effect of solar wind power variability on their relative price. Energy Economics 38, 218–236 (2013)

    Article  Google Scholar 

  6. Klobasa, M.: Analysis of demand response and wind integration in Germany’s electricity market. IET Renew. Power Gener. 4(1), 55–63 (2010)

    Article  Google Scholar 

  7. Madaeni, S.H., Sioshansi, R.: The impacts of stochastic programming and demand response on wind integration. Energy Syst. 4(2), 109–124 (2013). doi:10.1007/s12667-012-0068-7

    Article  Google Scholar 

  8. Von Roon, S.: Empirische Analyse über die Kosten des Ausgleichs von Prognosefehlern der Wind- und PV-Stromerzeugung. Wien, 7. Internationale Energiewirtschaftstagung an der TU Wien, 16–18 Feb 2011

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Ernesto Garnier or Reinhard Madlener .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Garnier, E., Madlener, R. (2016). Day-Ahead Versus Intraday Valuation of Flexibility for Photovoltaic and Wind Power Systems. In: Lübbecke, M., Koster, A., Letmathe, P., Madlener, R., Peis, B., Walther, G. (eds) Operations Research Proceedings 2014. Operations Research Proceedings. Springer, Cham. https://doi.org/10.1007/978-3-319-28697-6_24

Download citation

Publish with us

Policies and ethics