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A generation expansion planning model of a strategic electricity generating firm
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: Power and Energy Society General Meeting, 2011 IEEE, IEEE , 2011, 1-7 p.Conference paper (Refereed)
Abstract [en]

This paper derives a mathematical structure for investment decisions of a profit-maximising and strategic producer in liberalised electricity markets. The paper assumes a Cournot producer in an energy market with nodal pricing regime. The Cournot producer is assumed to have revenue from selling energy to the pool. The investment problem of the strategic producer is modelled through a leader-follower game in applied mathematics. The leader is the strategic producer seeking the optimal mix of its investment technologies and the follower is a stochastic estimator. The stochastic estimator forecasts the reactions of other producers in the market in response to the investment decisions of the producer in question. The stochastic estimator takes the investment decisions of the producer and it calculates the stochastic prices. The mathematical structure is a stochastic linear bilevel programming problem. This problem is reformulated as a stochastic MILP problem which can be solved using the commercially available software packages. Finally, the developed mathematical structure is applied to a six-node example system to highlight the strengths of the whole approach.

Place, publisher, year, edition, pages
IEEE , 2011. 1-7 p.
, IEEE Power and Energy Society General Meeting PESGM, ISSN 1944-9925
Keyword [en]
Cournot producer;energy market;generation expansion planning model;investment decisions;liberalised electricity market;nodal pricing regime;profit maximising;stochastic estimator;stochastic linear bilevel programming problem;stochastic mixed integer linear programming problem;stochastic price;strategic electricity generating firm;strategic producer;integer programming;linear programming;power generation planning;power markets;profitability;stochastic games;
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
URN: urn:nbn:se:kth:diva-59971DOI: 10.1109/PES.2011.6039563ISI: 000297469604067ScopusID: 2-s2.0-82855172332ISBN: 978-1-4577-1001-8OAI: diva2:476842
Power and Energy Society General Meeting, San Diego, CA, 24-29 July 2011
© 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. QC 20120131Available from: 2012-01-31 Created: 2012-01-12 Last updated: 2012-04-03Bibliographically approved

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