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Strategic Generation Expansion Planning Using the Modified Benders Decomposition
Eindhoven Univ Technol, Eindhoven, Netherlands..
KTH, School of Electrical Engineering and Computer Science (EECS), Electric Power and Energy Systems.
KTH, School of Electrical Engineering and Computer Science (EECS), Electric Power and Energy Systems.
2018 (English)In: 2018 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM), IEEE , 2018Conference paper, Published paper (Refereed)
Abstract [en]

This paper proposes a mathematical model for solving the generation expansion problem of multiple Gencos. The model is developed assuming a simultaneous-move game between Gencos. Each Genco maximizes his total profit of selling the electricity to the market minus the investment cost of new generating units given the investment decisions of rival Gencos. We assume one market operator who dispatches the generators in the system. This problem is formulated as a mixed-integer linear program (MILP) using the Nash equilibrium and the strong duality theorem. To solve the proposed MILP, a modified Benders decomposition algorithm is implemented. The numerical results are carried on the 2-bus and 12-bus networks and the results show the effectiveness of the model and the solution algorithm.

Place, publisher, year, edition, pages
IEEE , 2018.
Series
IEEE Power and Energy Society General Meeting PESGM, ISSN 1944-9925
Keywords [en]
Strategic Generation Expansion Planning, Mixed-integer linear program, Benders Decomposition
National Category
Computational Mathematics
Identifiers
URN: urn:nbn:se:kth:diva-244578ISI: 000457893901082Scopus ID: 2-s2.0-85060796259ISBN: 978-1-5386-7703-2 (print)OAI: oai:DiVA.org:kth-244578DiVA, id: diva2:1294169
Conference
IEEE-Power-and-Energy-Society General Meeting (PESGM), AUG 05-10, 2018, Portland, OR
Note

QC 20190306

Available from: 2019-03-06 Created: 2019-03-06 Last updated: 2019-03-06Bibliographically approved

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Hesamzadeh, Mohammad Reza

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