Skip to main content

Transmission Pricing

  • Chapter
  • First Online:
Financial Transmission Rights

Part of the book series: Lecture Notes in Energy ((LNEN,volume 7))

Abstract

The transmission grid has a major impact on the operation and investment decisions in electric power systems. This impact is more noticeable when the electricity sector is organized around a wholesale market, where the transmission network becomes the meeting point of producers and consumers. The relevance of transmission is presently increasing with the growing penetration of intermittent renewable energy sources, frequently distant from the main load centres and significantly adding to the variability of flow patterns.

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 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 249.99
Price excludes VAT (USA)
  • Durable hardcover 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 loss factor at a certain node represents the increase in transmission losses in the system resulting from a unit increase in the power injected at this node. Loss factors depend on the existing system operation conditions.

  2. 2.

    Nodal prices are also called locational marginal prices. In the pioneering work on this subject, see (Schweppe et al. 1988), the most general term “spot prices” is used.

  3. 3.

    In some systems, like UK, energy and capacity payments associated to the production of reactive power have been paid to agents located in specific areas of the system where voltage problems may occur. However, no systematic nodal or zonal reactive power pricing scheme has been applied.

  4. 4.

    Kirchhoff laws are two. First one states that at each node, power injections must equal power withdrawals. Second one states that, when flowing among two nodes, power is split among the different parallel paths between these nodes in inverse proportion to the electrical distances along these paths.

  5. 5.

    Strictly speaking, the nodal price expression will be ρk = πk + αk, although αk will be non-zero only at those nodes where all the demand is fully unserved.

  6. 6.

    Exceptionally, “network revenues” may be negative when line losses are very large due to corona discharge. Note that network revenue is the profit that the transmission network would earn if energy were purchased from generators at their nodal price and sold to consumers at theirs. However, the transmission network should not be allowed to conduct free market transactions, but must rather be treated like a regulated monopoly with pre-established remuneration. Exceptions, namely merchant lines, may be justified for individual lines under special circumstances.

  7. 7.

    Power Transfer Distribution Factors are normally defined as the sensitivities of flows with respect to power injections, while sensitivity factors of constrained variables in general, NC, are normally defined with respect to power withdrawals. Therefore, changing the sign of factors NC corresponding to line flows is necessary to compute PTDFs. Besides, it must be noted that PTDFs are defined by some authors as the sensitivity of line flows with respect to point to point transactions rather than power injections. Thus, for example, authors in Galiana et al. (2003) compute the sensitivity of line flows with respect to equivalent bilateral power exchanges (whereby each demand is assigned a fraction of each generation and each generator is assigned a fraction of each demand in a uniform manner) to allocate the cost of these lines to their users.

  8. 8.

    If losses are considered, the amount of power withdrawn in the reference node should not be 1 MW (a unit increase) but an amount slightly larger or smaller depending on the effect on transmission losses in the system of the considered power transaction between node k and reference node s.

References

  • Aguado JA, Quintana VH, Madrigal M, Rosehart WD (2004) Coordinated spot market for congestion management of inter-regional electricity markets. IEEE Trans Power Syst 19(1): 180–187

    Article  Google Scholar 

  • Alomoush MI, Shahidehpour SM (2000) Contingency-constrained congestion management with a minimum number of adjustments in preferred schedules. Electr Power Energy Syst 22: 277–290

    Article  Google Scholar 

  • Baran ME, Babunarayanan V, Garren KE (2000) Equitable alloation of congestion relief cost to transactions. IEEE Trans Power Syst 15(2):579–585

    Article  Google Scholar 

  • Bialek J (1996) Tracing the flow of electricity. IEE Proc Gener Trans Distrib 143(4):313–320

    Article  Google Scholar 

  • Biskas PN, Bakirtzis AG (2002) Decentralised congestion management of interconnected power systems. In: IEE Proc Gener Trans Distrib, pp 432–438

    Google Scholar 

  • Boucher J, Smeers Y (2001) Towards a common European electricity market-paths in the right direction… still far from an effective design. Harvard Electricity Policy Group. http://www.ksg.harvard.edu/hepg/Standard_Mkt_dsgn/Smeers_Interconnections1_4jni_3.do1.pdf

  • Chao HP, Peck S (1996) A market mechanism for electric power transmission. J Regul Econ 10: 25–29

    Article  Google Scholar 

  • Chao HP, Peck S (2000) Flow-based transmission rights and congestion management. Electr J 13(8):38–59

    Article  Google Scholar 

  • Cheng X, Overbye TJ (2006) An energy reference bus independent LMP decomposition algorithm. IEEE Trans Power Syst 21(3):1041–1049

    Article  Google Scholar 

  • Christie RD, Wangensteen I (1998) The energy market in Norway and Sweden: congestion management. IEEE Power Eng Rev 18:61–63

    Article  Google Scholar 

  • Consentec/Frontier (2004) Analysis of cross-border congestion management methods for the EU internal electricity market, consentec and frontier economics. Prepared for the European Commission. Directorate-General Energy and Transport. Web page: http://europa.eu.int/comm/energy/electricity/publications/index_en.htm

  • Dismukes DE, Cope RF III, Mesyanzhinov D (1998) Capacity and economies of scale in electric power transmission. Utilities Policy 7(3):155–162

    Article  Google Scholar 

  • ETSO (2001) Co-ordinated auctioning: a market-based method for transmission capacity allocation in meshed networks. Association of European Transmission System Operators (ETSO). Web address: http://www.etso-net.org/upload/documents/Coordinated%20Auctioning.pdf, p 22

  • ETSO (2004) An overview of current cross-border congestion management methods in Europe. European association of Transmission System Operators (ETSO). Web address: http://www.etso-net.org/upload/documents/Current_CM_methods_final_20040908.pdf, p 31

  • ETSO (2006) Transmission risk hedging products. Solutions for the market and consequences for the TSOs. ETSO Background Paper, 20 April 2006. http://www.entsoe.eu

  • ETSO/EuroPEX (2004) Flow-based market coupling: a joint ETSO-EuroPEX proposal for cross-bcongestion management and integration of electricity markets in Europe. Association of European Transmission System Operators (ETSO) and association of European Power Exchanges (EuroPEX)address: http://www.etso-net.org/upload/documents/ETSO-EuroPEX_Interimreport_Sept-2004-.pdf, p 26

  • European Transmission System Operators (ETSO) (1999) Evaluation of congestion management methods for cross-border transmission. http://www.etso-net.org/, p 22

  • European Transmission System Operators (ETSO) (2008) ETSO overview of transmission tariffs in Europe: synthesis 2007. ETSO tariffs task force. Web page: http://www.etso-net.org/upload/documents/11.a.%20Final_Synthesis_2007_18-06-08.pdf, p 27

  • Fang RS, David AK (1999) Optimal dispatch under transmission contracts. IEEE Trans Power Syst 14(2):732–737

    Article  Google Scholar 

  • Galiana FD, Ilic M (1998) A mathematical framework for the analysis and management of power transactions under open access. IEEE Trans Power Syst 13(2):681–687

    Article  Google Scholar 

  • Galiana FD, Conejo AJ, et al. (2003) Transmission network cost allocation based on equivalent bilateral exchanges. IEEE Trans Power Syst 18(4):1425–1431

    Article  Google Scholar 

  • Henney A (2002) What the US could learn from Western Europe and elsewhere. Electr J 15(10): 53–64

    Article  Google Scholar 

  • Hogan WW (1992) Contract networks for electric power transmission. J Regul Econ 4:211–242

    Article  Google Scholar 

  • Hogan WW (2002) Financial transmission right formulations. Cambridge. Center for Business and Government, John F. Kennedy School of Government, Harvard University. http://www.ksg.harvard.edu/hepg

  • Junqueira M, da Costa LC, Barroso OGC, Thomé LM, Pereira MW (2007) An aumann-shapley approach to allocate transmission service cost among network users in electricity markets. IEEE Trans Power Syst 22(4):1532–1546

    Article  Google Scholar 

  • Kirschen D, Allan R, Strbac G (1997) Contributions of individual generators to loads and flows. IEEE Trans Power Syst 12(1):52–60

    Article  Google Scholar 

  • Lusztig C, Feldberg P, Orans R, Olsonet A (2006) A survey of transmission tariffs in North America. Energy 31(6–7):1017–1039

    Article  Google Scholar 

  • Newbery DV, Damme E, von der Fehr NM (2003) Benelux market integration: market power concerns. Dutch energy regulator (DTe). Web page: http://www.dte.nl/nl/Images/12_13216.pdf

  • O’Neill R, Helman PU, Hobbs BF, Stewart WR Jr, Rothkopf MH (2002) A joint energy and transmission rights auction: proposal and properties. IEEE Trans Power Syst 17(4):1058–1067

    Article  Google Scholar 

  • Olmos (2006) Regulatory design of the transmission activity in regional electricity markets. Ph.D. dissertation, Universidad Pontificia Comillas

    Google Scholar 

  • Olmos L, Neuhoff K (2006) Identifying a balancing point for electricity transmission contracts. IEEE Trans Power Syst 21(1):91–98

    Article  Google Scholar 

  • Olmos L, Pérez-Arriaga IJ (2007) Evaluation of three methods proposed for the computation of inter-TSO payments in the internal electricity market of the European Union. IEEE Trans Power Syst 22(4):1507–1522

    Article  Google Scholar 

  • Olmos L, Pérez-Arriaga IJ (2009) A comprehensive approach for computation and implementation of efficient electricity transmission network charges. Energy Policy 37(12):5285–5295

    Article  Google Scholar 

  • Oren SS, Ross AM (2002) Economic congestion relief across multiple regions requires tradable physical flow-gate rights. IEEE Trans Power Syst 17(1):159–165

    Article  Google Scholar 

  • Pérez-Arriaga IJ, Rubio FJ, Puerta JF, Arceluz J, Marín J (1995) Marginal pricing of transmission services: an analysis of cost recovery. IEEE Trans Power Syst 10(1):546–553

    Article  Google Scholar 

  • Rau NS (2000) Transmission loss and congestion cost allocation: an approach based on responsibility. IEEE Trans Power Syst 15(4):1401–1409

    Article  MathSciNet  Google Scholar 

  • Rivier M, Pérez-Arriaga IJ (1993) Computation and decomposition of spot prices for transmission pricing. In: Proceedings of the power systems computation conference (PSCC), Avignon

    Google Scholar 

  • Rivier M, Pérez-Arriaga IJ, Luengo G (1990) JUANAC: a model for computation of spot prices in interconnected power systems. In: Proceedings of the 10th PSCC conference, Graz, 19–24 Aug 1990

    Google Scholar 

  • Rubio FJ, Pérez-Arriaga IJ (2000) Marginal pricing of transmission services: a comparative analysis of network cost allocation methods. IEEE Trans Power Syst 15(1):448–454

    Article  Google Scholar 

  • Ruff LE (1999) Competitive Electricity markets: why they are working and how to improve them. http://www.ksg.harvard.edu/hepg,n/e/r/a

  • Schweppe FC, Caramanis M, Tabors RD, Bohn RE (1988) Spot pricing of electricity. Kluwer, Boston

    Book  Google Scholar 

  • Singh H, Hao S et al (1998) Transmission congestion management in competitive electricity markets. IEEE Trans Power Syst 13(2):672–680

    Article  Google Scholar 

  • Stoft S (1998) Congestion pricing with fewer prices than zones. Electr J 11(4):23–31

    Article  Google Scholar 

  • Tabors R, Caramanis M (2000) Real flow, a preliminary proposal for a flow-based congestion management system. Cambridge, MA. http://www.ksg.harvard.edu/hepg/flowgate/Real%20Flow.pdf

  • Tao S, Gross G (2002) A congestion management allocation mechanism for multiple transaction networks. IEEE Trans Power Syst 17(3):826–833

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ignacio J. Pérez-Arriaga .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag London

About this chapter

Cite this chapter

Pérez-Arriaga, I.J., Olmos, L., Rivier, M. (2013). Transmission Pricing. In: Rosellón, J., Kristiansen, T. (eds) Financial Transmission Rights. Lecture Notes in Energy, vol 7. Springer, London. https://doi.org/10.1007/978-1-4471-4787-9_2

Download citation

  • DOI: https://doi.org/10.1007/978-1-4471-4787-9_2

  • Published:

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-4786-2

  • Online ISBN: 978-1-4471-4787-9

  • eBook Packages: EnergyEnergy (R0)

Publish with us

Policies and ethics