DocumentCode :
1388709
Title :
The B.C. Hydro short term hydro scheduling optimization model
Author :
Shawwash, Ziad K. ; Siu, Thomas K. ; Russell, S. O Denis
Author_Institution :
Dept. of Civil Eng., British Columbia Univ., Vancouver, BC, Canada
Volume :
15
Issue :
3
fYear :
2000
fDate :
8/1/2000 12:00:00 AM
Firstpage :
1125
Lastpage :
1131
Abstract :
The authors describe the B.C. Hydro short term optimization model that has been developed to determine the optimal hourly generation and trading schedules in a competitive power market. The model is operational and is one of the tools that are currently used by the B.C. Hydro system operation engineers to determine the optimal schedules that meet the hourly domestic load and that maximize the value of the B.C. Hydro resources from spot transactions in the Western US and Alberta energy markets. The optimal hydro scheduling problem for the third largest power utility in Canada is formulated as a large-scale linear programming algorithm and is solved using an advanced commercially available algebraic modeling language and a linear programming package. The model has been designed and implemented to be user-friendly, flexible, dynamic, and a fast real time operational tool that accurately portrays the complex nature of the optimization problem. Aside from the detailed representation of more than twenty hydro generating stations and system of reservoirs, the model incorporates market information on the Alberta Power Pool and the US markets, and tie line transfer capabilities
Keywords :
electricity supply industry; hydroelectric power stations; linear programming; power generation planning; power generation scheduling; power system analysis computing; B.C. Hydro; Canada; USA; algebraic modeling language; competitive power market; computer simulation; fast real-time operational tool; hourly domestic load; linear programming package; optimal hourly generation schedules; optimal hourly trading schedules; short-term hydro scheduling optimization model; spot transactions; Large-scale systems; Linear programming; Optimal scheduling; Packaging; Power engineering and energy; Power generation; Power markets; Power system modeling; Scheduling algorithm; Systems engineering and theory;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/59.871743
Filename :
871743
Link To Document :
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