Stochastic Control of Hydropower Systems

by Aristidis P. Georgakakos, Georgia Tech, United States,
Marvin Meeks, Georgia Tech, United States,

Abstract: A two-level stochastic control method is presented for the real-time operation of hydropower projects. The first level assumes fixed turbine discharges and utilizes probabilistic inflow forecasts in connection with the Extended Linear Quadratic Gaussian reservoir control method to determin optimal generation schedules. The purpose of the second level is to find the turbine discharges which either corresponds to best turbine efficiency or result in maximum power. The model distinguishes between peak and off-peak generation periods and attempts to generate maximum energy during the former and only when necessary during the latter. This stochastic control scheme is tested and implemented for the real time operation of a Georgia Power reservoir.

Subject Headings: Hydro power | Power plants | Control systems | Stochastic processes | Turbines | Scheduling | Reservoirs | Developing countries | North America | Georgia | United States

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