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Assessment of the market power cost in liberalised electricity markets using SMPI, PMPI, and NMPI indicators
KTH, School of Electrical Engineering (EES), Electric Power Systems.
KTH, School of Electrical Engineering (EES), Electric Power Systems.ORCID iD: 0000-0001-6000-9363
2011 (English)In: Energy Market (EEM), 2011 8th International Conference on the European, 2011, 844-848 p.Conference paper (Refereed)
Abstract [en]

Market power analysis is one of the major issues facing regulators of wholesale electricity markets. The exercise of market power both distorts wholesale price signals and reduces the efficiency of the operation of and investment in the wholesale electricity market. This paper deals with a systematic way for quantifying and visualising market power. The paper first proposes three indicators termed the System Market Power Indicator, SMPI, the Producer Market Power Indicator, PMPI, and the Nodal Market Power Indicator, NMPI. The game theory in applied mathematics and the concept of social welfare in microeconomics are used in formulating of these indicators. The SMPI finds the total cost of exercising market power by generating companies. The contribution of a specific generating company in system market power is calculated using the PMPI. The NMPI finds the contribution of each power system node in the total market power cost. Then after, a colour contour map is used to visualise the exercise of market power and its associated cost. The proposed market power indicators are applied to the modified Garver’s example system to show the promising performance of these indicators.

Place, publisher, year, edition, pages
2011. 844-848 p.
Keyword [en]
NMPI indicators;PMPI indicators;SMPI indicators;colour contour map;game theory;liberalised electricity markets;market power cost assessment;microeconomics;modified Garver example system;nodal market power indicator;power system node;producer market power indicator;system market power indicator;wholesale electricity markets;economic indicators;game theory;power markets;power system economics;
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
URN: urn:nbn:se:kth:diva-59925DOI: 10.1109/EEM.2011.5953127ScopusID: 2-s2.0-80052127694OAI: diva2:476707
QC 20120113Available from: 2012-01-12 Created: 2012-01-12 Last updated: 2012-01-13Bibliographically approved

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Hesamzadeh, MohammadAmelin, Mikael
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