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Transmission augmentation with mathematical modeling of market power and strategic generation expansion - Part I
KTH, School of Electrical Engineering (EES), Electric Power Systems.
2011 (English)In: IEEE Transactions on Power Systems, ISSN 0885-8950, ISSN 0885-8950, Vol. 26, no 4, 2040-2048 p.Article in journal (Refereed) Published
Abstract [en]

This paper proposes a new mathematical structure for evaluating the economic efficiency of transmission investment in a liberalized electricity market. The problem faced by a transmission planner is modeled using the concept of social welfare from economics. The behavior of generators is modeled as the Nash equilibrium of a strategic game. The Nash solution concept is reformulated as an optimization problem and a new concept - the Stackelberg-Worst Nash equilibrium - is introduced to resolve the problem of multiple equilibria. The proposed structure can take into account the effects of a transmission augmentation on both market power and strategic generation investment. Accordingly, the optimal solution to the transmission planner's problem may allow additional transmission capacity both to reduce market power and to defer investment in the generation sector. A methodology is proposed to decompose the benefits of a transmission augmentation policy into the efficiency benefit, competition benefit, and the deferral benefit. The outcomes of the proposed approach to transmission augmentation are compared with the outcomes of two other approaches to transmission augmentation using a simple three-bus network example.

Place, publisher, year, edition, pages
2011. Vol. 26, no 4, 2040-2048 p.
Keyword [en]
Game theory, generation investment, market power, Nash equilibria, transmission network planning, transmission system augmentation, Commerce, Economics, Electric power transmission, Optimization, Telecommunication networks, Investments
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
URN: urn:nbn:se:kth:diva-79293DOI: 10.1109/TPWRS.2011.2145008ISI: 000298784500028ScopusID: 2-s2.0-80054920632OAI: diva2:495311

QC 20120210

Available from: 2012-02-08 Created: 2012-02-08 Last updated: 2014-04-11Bibliographically approved

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