Control models for hydropower system analysis and operation
Technical Report
·
OSTI ID:166971
In this work, several new models for hydropower systems analysis and operation have been developed and tested. More specifically, the new models are designed to address the following issues: (1) Determination of the dependable power capacity for a system of hydropower facilities, (2) Determination of the firm energy for a system of hydropower facilities, with or without dependable capacity commitments, and (3) optimization of the hydroelectric energy value. (The value of energy is measured by the savings in thermal plant fuel consumption). The models of the first two categories have a time discretization of one day, while those of the third are hourly. All models share a common structure consisting of a turbine load allocation module and a reservoir control module. In addition to a detailed representation of the hydroelectric facilities, this control model structure is also able to model most aspects of water management. The models are applied to the Lanier-Allatoona-Carters reservoir system on the Chattahoochee and Coosa River Basins in the southeastern U.S.
- Research Organization:
- Georgia Inst. of Tech., Atlanta, GA (United States). Environmental Resources Center
- OSTI ID:
- 166971
- Report Number(s):
- PB--96-118781/XAB; ERC--06-94; CNN: Grant DI/USGS-14-08-0001-G2013(03)
- Country of Publication:
- United States
- Language:
- English
Similar Records
Evaluating the operational changes in the Alabama and Chattahoochee basins
Agricultural vs. hydropower tradeoffs in the operation of the High Aswan Dam
Machine Learning Assisted Reservoir Operation Model for Long–Term Water Management Simulation
Book
·
Sat Dec 30 23:00:00 EST 1995
·
OSTI ID:220114
Agricultural vs. hydropower tradeoffs in the operation of the High Aswan Dam
Journal Article
·
Tue Nov 30 23:00:00 EST 1982
· Water Resour. Res.; (United States)
·
OSTI ID:5534301
Machine Learning Assisted Reservoir Operation Model for Long–Term Water Management Simulation
Journal Article
·
Thu Sep 01 20:00:00 EDT 2022
· Journal of the American Water Resources Association
·
OSTI ID:1908076