Data-driven two-stage stochastic optimization model for short-term hydro-thermal-wind coordination scheduling based on the dynamic extreme scenario set

Zhang, YC; An, XL; Wang, C

An, XL (corresponding author), China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China.

SUSTAINABLE ENERGY GRIDS & NETWORKS, 2021; 27 ():

Abstract

A data-driven two-stage stochastic optimization model for solving short-term hydro-thermal-wind coordination scheduling problem with complicated time-......

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