ASCE will be sunsetting the Civil Engineering Database (CEDB) in the coming months. We encourage you to start using the ASCE Library to perform content searches. In the ASCE Library, you can save your search results as well as receive email content alerts when new content relevant to your area of interest is published. Try it out today at https://ascelibrary.org.

 

Stochastic Control of Hydropower Systems

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



Document Type: Proceeding Paper

Part of: Computerized Decision Support Systems for Water Managers

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 | Stochastic processes | Power plants | Reservoirs | Control systems | Turbines | Developing countries | Georgia | United States

Services: Buy this book/Buy this article

 

Return to search