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Stochastic Multistage Co-optimization of Generation and Transmission Expansion Planning

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arxiv 1910.01640 v2 pith:5ET35D4W submitted 2019-10-03 math.OC

Fernanda Thome , Ricardo C. Perez , Lucas Okamura , Alessandro Soares , Silvio Binato This is my paper · ORCID
classification math.OC
keywords planningexpansionmodulebenderscostsexpectedgenerationinvestment
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This paper describes a generation and transmission (G&T) expansion planning tool based on Benders decomposition and multistage stochastic optimization: (i) A MIP-based "investment module" determines a trial expansion plan; (ii) an SDDP-based "operation module" calculates the expected operation costs for the trial plan and Benders cuts to the investment module based on the expected marginal costs of the capacity constraints at the optimal solution. The integrated G&T planning approach is illustrated with a realistic planning study for the Bolivian power system.

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