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A McKean-Vlasov approach to distributed electricity generation development

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Date
2019
Link to item file
https://arxiv.org/abs/1705.01302v3
Dewey
Economie de la terre et des ressources naturelles
Sujet
Decarbonation; Distributed generation; Stochastic game; McKean–Vlasov; L94; C73; C61; O33; Q41; Q42
JEL code
L.L9.L94; C.C6.C61; C.C7.C73; O.O3.O33; Q.Q4.Q41; Q.Q4.Q42
Journal issue
Mathematical Methods of Operations Research
Publication date
2019
Article pages
1-42
Publisher
Springer
DOI
http://dx.doi.org/10.1007/s00186-019-00692-8
URI
https://basepub.dauphine.fr/handle/123456789/20472
Collections
  • LEDa : Publications
Metadata
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Author
Aïd, René
559342 Laboratoire d'Economie de Dauphine [LEDa]
Basei, Matteo
172051 Industrial Engineering and Operations Research Department [IEOR Dept]
Pham, Huyên
1004954 Laboratoire de Probabilités, Statistiques et Modélisations [LPSM (UMR_8001)]
Type
Article accepté pour publication ou publié
Abstract (EN)
This paper analyses the interaction between centralised carbon emissive technologies and distributed intermittent non-emissive technologies. In our model, there is a representative consumer who can satisfy her electricity demand by investing in distributed generation (solar panels) and by buying power from a centralised firm at a price the firm sets. Distributed generation is intermittent and induces an externality cost to the consumer. The firm provides non-random electricity generation subject to a carbon tax and to transmission costs. The objective of the consumer is to satisfy her demand while minimising investment costs, payments to the firm and intermittency costs. The objective of the firm is to satisfy the consumer’s residual demand while minimising investment costs, demand deviation costs, and maximising the payments from the consumer. We formulate the investment decisions as McKean–Vlasov control problems with stochastic coefficients. We provide explicit, price model-free solutions to the optimal decision problems faced by each player, the solution of the Pareto optimum, and the Stackelberg equilibrium where the firm is the leader. We find that, from the social planner’s point of view, the carbon tax or transmission costs are necessary to justify a positive share of distributed capacity in the long-term, whatever the respective investment costs of both technologies are. The Stackelberg equilibrium is far from the Pareto equilibrium and leads to an over-investment in distributed energy and to a much higher price for centralised energy.

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