Skip to main content

Advertisement

Log in

A description of the operative decision-making process of a power generating company on the Nordic electricity market

  • Original Paper
  • Published:
Energy Systems Aims and scope Submit manuscript

Abstract

In a liberalised electricity market, power generating companies face various trading possibilities. In addition, they have to take scheduling decisions. Both kinds of decisions are affected by uncertainties, e.g. power plant outages, uncertain market prices for electricity or imperfect wind power forecasts. This paper presents an overview of the decision-making process of a power generating company on the Nordic electricity market and illustrates how uncertainties affect this process. As a power generating company’s return on investment arises—at least partly—from its trading and scheduling decisions, it is important to optimise those decisions. Therefore, selected optimisation models are listed in a condensed manner. The paper also includes a both detailed and comprehensive description of the market design in the Nordic countries.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Notes

  1. This is covered by the assumption of rational behaviour where participants try to maximise their own utility [5, p. 53].

  2. If market signals are persistent and sufficiently strong, market participants may also react to them in a longer time perspective. A power generating company can, for example, take investment and decommissioning decisions by which it in the long run adjusts its portfolio [3]. However, as this paper focuses on trading and scheduling decisions, strategic long-term investment decisions that change the portfolio are not discussed further here.

  3. Such day-ahead and intraday markets are often referred to as physical markets. However, following a stricter definition as in [11], only the balancing market can be regarded as a physical market.

  4. The Nordic primary reserves consist of frequency controlled normal operation reserves (FNR) and frequency controlled disturbance reserves (FDR).

  5. The Nordic secondary reserves are automatic frequency restoration reserves (FRR or synonym FRR-A). They are also called automatic load frequency control (LFC).

  6. In descriptions of the Nordic market, balancing is often called regulating and activated balancing power regulating power. The balancing market is also called regulating market or regulating power market.

  7. The Nordic electricity market currently constitutes 12 price zones: five in Norway, four in Sweden, two in Denmark and one Finnish price zone [17].

  8. Two-price imbalance settlement rules are, however, discussed controversially [16, 18, 19]. Here, one issue is whether they force power generating companies to bid close to their expected production on the day-ahead and intraday markets.

  9. In this context, it should also be observed that due to costs of grid expansion, it would not be optimal to enforce the grid as much as possible even though the cheapest generation can only be scheduled if sufficient transmission capacity is available [21].

  10. On a BRP’s level, this would violate the balancing agreement between BRP and TSO, see e.g. [13]. According to that, a BRP must not have systematic imbalances between its production plans and its real generation/consumption.

  11. They are called water regulating companies, or vattenregleringsföretag in Swedish.

  12. From the system’s perspective they are, however, essential to keep the system stable. Therefore, if one changes the perspective, system services such as the provision of reserves, reactive power, short-circuit capacity and voltage control [38] are complementary services to electric power generation.

  13. Although the balancing market is directly linked to physical fulfilment, bids are in practice only economically binding [13].

References

  1. Belyaev, L.S.: Electricity Market Reforms: Economics and Policy Challenges. Springer, New York (2011)

  2. Cau, T.D.H., Anderson, E.J.: A co-evolutionary approach to modelling the behaviour of participants in competitive electricity markets. In: IEEE Power and Energy Society summer meeting, vol. 3, pp. 1534–1540 (2002)

  3. Nicolosi, M., Fürsch, M.: The impact of an increasing share of RES-E on the conventional power market—the example of Germany. Zeitschrift für Energiewirtschaft 33(3), 246–254 (2009)

    Article  Google Scholar 

  4. Jónsson, T., Pinson, P., Madsen, H.: On the market impact of wind energy forecasts. Energy Econ. 32(2), 313–320 (2010)

    Article  Google Scholar 

  5. Morgan, W., Katz, M., Rosen, H.: Microeconomics. McGraw-Hill Education, New York (2006)

  6. Dueñas, P., Reneses, J., Barquín, J.: Dealing with multi-factor uncertainty in electricity markets by combining Monte Carlo simulation with spatial interpolation techniques. IET Gener. Transm. Distrib. 5(3), 323–331 (2011)

    Article  Google Scholar 

  7. Directive: Directive 2009/72/EC. http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2009:211:0055:0093:EN:PDF (2009). Accessed 4 Dec 2013

  8. Ragwitz, M., et al.: Assessment and optimisation of renewable energy support schemes in the European electricity market. In: Final report. Fraunhofer ISI, Karlsruhe. www.optres.fhg.de/OPTRES_FINAL_REPORT.pdf (2007). Accessed 4 Dec 2013

  9. de Miera, G.S., del Río González, P., Vizcaíno, I.: Analysing the impact of renewable electricity support schemes on power prices: the case of wind electricity in Spain. Energy Policy 36(9), 3345–3359 (2008)

    Article  Google Scholar 

  10. Weber, C.: Adequate intraday market design to enable the integration of wind energy into the European power systems. Energy Policy 38(7), 3155–3163 (2010)

    Article  Google Scholar 

  11. Stoft, S.: Power System Economics: Designing Markets for Electricity. IEEE Press/Wiley-Interscience, New York (2002)

    Book  Google Scholar 

  12. NordREG Nordic Energy Regulators: In: Report—Nordic market report 2012. http://www.nordicenergyregulators.org/wp-content/uploads/2012/12/Nordic-Market-Report-2012-Development-in-the-Nordic-Electicity-Market.pdf (2012). Accessed 4 Dec 2013

  13. Svenska Kraftnät: Avtal om Balansansvar för el, contract. http://www.svk.se/Energimarknaden/El/Balansansvar/Balansansvarsavtal-/ (2013). Accessed 4 Dec 2013

  14. Svenska Kraftnät: In: Report on the electricity market in Sweden and the role of Svenska Kraftnät. http://www.svk.se/Global/02_Press_Info/Pdf/Broschyrer/Den_svenska_elmarknaden_GB.pdf (2011). Accessed 4 Dec 2013

  15. Svenska Kraftnät: Svenska Kraftnäts införande av LFC (automatisk FRR)—Marknadslösning 2013. http://www.svk.se/PageFiles/51254/Inforande-av-LFC.pdf (2013). Accessed 4 Dec 2013

  16. Ravnaas, K.W., Farahmand, H., Doorman, G.: Optimal wind farm bids under different balancing market arrangements. In: 11th International probabilistic methods applied to power systems conference (PMAPS), pp. 30–35 (2010)

  17. Nord Pool Spot: Power systems overview on the Nord Pool Spot web page. http://www.nordpoolspot.com/Market-data1/Maps/Power-System-Overview/Power-System-Map/ (2012). Accessed 4 Dec 2013

  18. Glachant, J.M., Saguan, M.: An intstitutional fram to compare alternative market designs in the EU electricity balancing. In: Report CWPE 0724 and EPRG 0711, Faculty of Economics and Electricity Policy Research Group, University of Cambridge, Cambridge. http://www.dspace.cam.ac.uk/handle/1810/194704 (2007). Accessed 4 Dec 2013

  19. Vandezande, L., Meeus, L., Belmans, R., Saguan, M., Glachant, J.: Well-functioning balancing markets: a prerequisite for wind power integration. Energy Policy 38(7), 3146–3154 (2010)

    Article  Google Scholar 

  20. ACER Agency for the Coordination of Energy Regulators: In: Technical report on framework guidelines on capacity allocation and congestion management for electricity. http://www.acer.europa.eu/portal/page/portal/ACER_HOME/Public_Docs/Acts%20of%20the%20Agency/Framework%20Guideline/Framework_Guidelines_on_Capacity_Allocation_and_Congestion_M/FG-2011-E-002%20%28Final%29.pdf (2011). Accessed 4 Dec 2013

  21. Wu, F.F., Zheng, F.L., Wen, F.S.: Transmission investment and expansion planning in a restructured electricity market. Energy 31(6–7), 954–966 (2006)

    Article  Google Scholar 

  22. Svenska Kraftnät : In: Report on Fyra elområden 2011—konsekvenser för balansansvaret. http://www.svk.se/Global/02_Press_Info/Pdf/Faktablad/faktablad_elomraden_uppdat11-10-13.pdf (2011). Accessed 4 Dec 2013

  23. Svenska Kraftnät: Information on the Svenska Kraftnät web page—Upphandling av effektreserv. http://www.svk.se/Energimarknaden/El/Effektreserv/Upphandling-av-effektreserv/ (2012). Accessed 4 Dec 2013

  24. Svenska Kraftnät: In: Report on the principer för hantering av effektreserven fr.o.m. 16 mars år 2011. http://www.svk.se/Global/02_Press_Info/Pdf/110225-Principer-for-effektreserven.pdf (2011). Accessed 4 Dec 2013

  25. Söder, L.: Analysis of pricing and volumes in selective capacity markets. IEEE Trans Power Syst 25(3), 1415–1422 (2010)

    Article  Google Scholar 

  26. Sørensen, J.D.: Framework for risk-based planning of operation and maintenance for offshore wind turbines. Wind Energy 12(5), 493–506 (2009)

    Article  Google Scholar 

  27. European Network of Transmission System Operators for Electricity: In: Reportof the statistical yearbook 2011. https://www.entsoe.eu/publications/statistics/statistical-yearbooks/ (2012). Accessed 4 Dec 2013

  28. Stage, S., Larsson, Y.: Incremental cost of water power. Power apparatus and systems, part III. Trans. Am. Inst. Electr. Eng. 80(3), 361–364 (1961)

    Google Scholar 

  29. Helseth, A., Mo, B., Warland, G.: Long-term scheduling of hydro-thermal power systems using scenario fans. Energy Syst. 1(4), 377–391 (2010)

    Article  Google Scholar 

  30. Belsnes, M.M., Honve, I., Fosso, O.B.: Bidding in the secondary reserve market from a hydropower perspective. In: 15th Power systems computation conference (PSCC) (2005)

  31. NASDAQ OMX Commodities: Information on the NASDAQ OMX commodities web page—product specifications. http://www.nasdaqomx.com/commodities/markets/products/ (2012). Accessed 4 Dec 2013

  32. Conejo, A.J., Carrión, M., Morales, J.M.: Decision making under uncertainty in electricity markets. In: International Series in Operations Research and Management Science, vol. 153. Springer, New York (2010)

  33. Nerves, A.C., Umali, L.M.D.: Risk assessment of energy trading for a generation company with bilateral contracts. In: 9th international power and energy conference (IPEC), pp. 1123–1128 (2010)

  34. Fleten, S.-E., Kristoffersen, T.K.: Stochastic programming for optimizing bidding strategies of a Nordic hydropower producer. Eur. J. Oper. Res. 181(2), 916–928 (2007)

    Article  MATH  Google Scholar 

  35. Pogosjan, D., Winberg, J.: Förändringar av marknadsdesign och deras påverkan på balanshållningen i det svenska kraftsystemet—en kartläggning och analys av de balansansvarigas arbetsgång. Master thesis. Division of Electricity, Department of Engineering Sciences, Disciplinary Domain of Science and Technology, Uppsala University, Uppsala (2013)

  36. Bathurst, G.N., Weatherill, J., Strbac, G.: Trading wind generation in short term energy markets. IEEE Trans. Power Syst. 17(3), 782–789 (2002)

    Article  Google Scholar 

  37. Matevosyan, J., Soder, L.: Minimization of imbalance cost trading wind power on the short-term power market. IEEE Trans. Power Syst. 21(3), 1396–1404 (2006)

    Article  Google Scholar 

  38. Energinet.dk: Information on the Energinet.dk web page—ancillary services electricity. http://energinet.dk/EN/El/Systemydelser-for-el/Sider/Systemydelserforel.aspx (2012). Accessed 4 Dec 2013

  39. Olsson, M.: On optimal hydropower bidding in systems with wind power. Ph.D. thesis. KTH Royal Institute of Technology, Electric Power Systems, Sweden (2009)

  40. Cailliau, M., Foresti, M., Villar, C.M.: Winds of change. IEEE Power Energy Mag. 8(5), 53–62 (2010)

    Article  Google Scholar 

  41. NordPool.: Elbas market regulations Nord Pool. http://nordpoolspot.com/Global/Download%20Center/Rules-and-regulations/Trading-appendix_2-b-elbas-market-regulations_18Feb_2013.pdf (2013). Accessed 4 Dec 2013

  42. Weber, A., Schröder, S.: Efficiency of continuous double auctions in the electricity market. In: 8th International conference on the European energy market (EEM), pp. 87–92 (2011)

  43. Henriot, A.: Market design with wind: managing low-predictability in intraday markets. In: Report RSCAS 2012/63, European University Institute, Florence, Robert Schuman Centre for Advanced Studies, Loyola de Palacio Programme on Energy Policy. http://cadmus.eui.eu/bitstream/handle/1814/24556/RSCAS_2012_63.pdf?sequence=1 (2012). Accessed 4 Dec 2013

  44. Morales, J.M., Conejo, A.J., Perez-Ruiz, J.: Short-term trading for a wind power producer. IEEE Trans. Power Syst. 25(1), 554–564 (2010)

    Article  Google Scholar 

  45. Scharff, R., Amelin, M., Söder, L.: Approaching wind power forecast deviations with internal ex-ante self-balancing. Energy 57, 106–115 (2013)

    Article  Google Scholar 

  46. Holttinen, H.: Optimal electricity market for wind power. Energy Policy 33(16), 2052–2063 (2005)

    Article  Google Scholar 

  47. Olsson, M., Söder, L.: Optimal regulating market bidding strategies in hydropower systems. In: 15th Power systems computation conference (PSCC) (2005)

  48. Li, G., Shi, J., Qu, X.: Modeling methods for genco bidding strategy optimization in the liberalized electricity spot market—a state-of-the-art review. Energy 36(8), 4686–4700 (2011)

    Article  Google Scholar 

  49. Ventosa, M., Baíllo, A., Ramos, A., Rivier, M.: Electricity market modelling trends. Energy Policy 33(7), 897–913 (2005)

    Article  Google Scholar 

Download references

Acknowledgments

The authors are grateful to the reviewers of the journal as well as Karin Eketorp, Pär Holmberg, Ewa Lazarczyk, Richard Manton, Mia Westerlund, and participants of the YEEES seminar in autumn 2013 for their detailed and constructive comments.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Richard Scharff.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Scharff, R., Egerer, J. & Söder, L. A description of the operative decision-making process of a power generating company on the Nordic electricity market. Energy Syst 5, 349–369 (2014). https://doi.org/10.1007/s12667-013-0104-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12667-013-0104-2

Keywords

Navigation