NDLI: The B.C. Hydro short term hydro scheduling optimization model

Content Provider	IEEE Xplore Digital Library
Author	Shawwash, Z.K. Siu, T.K. Russell, S.O.D.
Copyright Year	1969
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.
Sponsorship	IEEE Power Engineering Society
Starting Page	1125
Ending Page	1131
Page Count	7
File Size	111862
File Format	PDF
ISSN	08858950
Volume Number	15
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-08-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Power system modeling Optimal scheduling Power generation Power markets Linear programming Power engineering and energy Systems engineering and theory Large-scale systems Scheduling algorithm Packaging
Content Type	Text
Resource Type	Article
Subject	Energy Engineering and Power Technology Electrical and Electronic Engineering

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