A Nodal Pricing Model for the Nordic Electricity Market

Endre Bjørndal (), Mette Bjørndal () and Victoria Gribkovskaia ()
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Endre Bjørndal: Dept. of Business and Management Science, Norwegian School of Economics, Postal: NHH , Department of Business and Management Science, Helleveien 30, N-5045 Bergen, Norway, http://www.nhh.no/Default.aspx?ID=1995
Mette Bjørndal: Dept. of Business and Management Science, Norwegian School of Economics, Postal: NHH , Department of Business and Management Science, Helleveien 30, N-5045 Bergen, Norway, http://www.nhh.no/Default.aspx?ID=1996
Victoria Gribkovskaia: Dept. of Business and Management Science, Norwegian School of Economics, Postal: NHH , Department of Business and Management Science, Helleveien 30, N-5045 Bergen, Norway, http://www.nhh.no/Default.aspx?ID=11390
Authors registered in the RePEc Author Service: Endre Jostein Bjørndal

No 2014/43, Discussion Papers from Norwegian School of Economics, Department of Business and Management Science

Abstract: In the Nordic day-ahead electricity market zonal pricing or market splitting is used for relieving congestion between a predetermined set of bidding areas. This congestion management method represents an aggregation of individual connection points into bidding areas, and flows from the actual electricity network are only partly represented in the market clearing. Because of several strained situations in the power system during 2009 and 2010, changes in the congestion management method have been considered by the Norwegian regulator. In this paper we discuss nodal pricing in the Nordic power market, and compare it to optimal and simplified zonal pricing, the latter being used in today’s market. A model of the Nordic electricity market is presented together with a discussion of the calibration of actual market data for four hourly case studies with different load and import/exports to the Nordic area. The market clearing optimization model incorporates thermal and security flow constraints. We analyze the effects on prices and grid constraints and quantify the benefits and inefficiencies of the different methods. We find that the price changes with nodal pricing may not be dramatic, although in cases where intra-zonal constraints are badly represented by the aggregate transfer capacities in the simplified zonal model the nodal prices may be considerably higher on average and vary more than the simplified zonal prices. On the other hand nodal prices may vary less than the simplified zonal prices if aggregate transfer capacities are set too tightly. Allowing for more prices in the Nordic power market would make dealing with capacity limits easier and more transparent.

Keywords: Nodal pricing; Zonal pricing; Congestion management; Electricity market simulation (search for similar items in EconPapers)
JEL-codes: Q00 (search for similar items in EconPapers)
Pages: 33 pages
Date: 2014-12-19
New Economics Papers: this item is included in nep-ene, nep-ind and nep-reg
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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