Stochastic Optimization of Reservoir Systems Operations

by Dapei Wang, Univ of Toronto, Toronto, Ont, Canada,
Barry J. Adams, Univ of Toronto, Toronto, Ont, Canada,

Abstract: This paper addresses the stochastic optimization of real-time monthly operations of multi-reservoir systems by Dynamic Programming. A two-stage optimization framework that consists of a real-time model followed by a steady-state model is proposed for describing the operations problems. Effective optimization procedures are proposed for both the steady-state model and the real-time model. A case study of the Manitoba Hydro System, Manitoba, Canada, is implemented to demonstrate the applications of the optimization approaches presented.

Subject Headings: Optimization models | Reservoirs | Stochastic processes | Mathematical models | Model analysis | Steady states | Computer models | Computer programming | North America | Canada | Manitoba

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