A mathematical model for strategic generation expansion planning
2016 (English)In: IEEE Power and Energy Society General Meeting, IEEE, 2016Conference paper (Refereed)
This paper proposes a mathematical model for strategic generation expansion planning problem. The model is developed based on the the simultaneous-move game between Gencos. Gencos investment decisions are passed to the dispatch center which decides about the production level in operating scenarios considered. Using Karush-Kuhn-Tucker conditions (KKTs) and disjunctive linearization, the model is formulated as a mixed-integer linear program (MILP). The concepts of worst Nash equilibrium (WNE) and best Nash equilibrium (BNE) are introduced to handle multiple NE problem. The impact of uncertainty (scenarios) on equilibria band, i.e., the difference between WNE and BNE is discussed. The developed model is simulated on illustrative 2-node and 3-node example systems and also on IEEE-RTS96 test system.
Place, publisher, year, edition, pages
Generation planning, Mixed-integer linear program, Nash equilibrium, Computation theory, Game theory, Investments, Generation expansion planning, Generation expansion planning problem, Investment decisions, Karush Kuhn tucker condition, Mixed integer linear program, Nash equilibria, Production level, Integer programming
IdentifiersURN: urn:nbn:se:kth:diva-202147DOI: 10.1109/PESGM.2016.7741960ScopusID: 2-s2.0-85002141911ISBN: 9781509041688 OAI: oai:DiVA.org:kth-202147DiVA: diva2:1081266
2016 IEEE Power and Energy Society General Meeting, PESGM 2016, 17 July 2016 through 21 July 2016
QC 201703132017-03-132017-03-132017-03-13Bibliographically approved