Stochastic multi-reservoir hydroelectric scheduling model

J. Jacobs*, G. Freeman, J. Grygier, D. Morton, G. Schultz, K. Staschus, J. Stedinger

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Pacific Gas and Electric Company (PG&E) obtains a significant fraction of its electric energy and capacity from its own hydrogeneration facilities. Hydropower is very flexibility, but is constrained by energy limitations. Optimal scheduling of hydrogeneration, in coordination with other energy sources and streamflow forecasts, is a stochastic problem of great significance to PG&E. This paper describes the SOCRATES system for the optimal scheduling of hydropower generation over a one- to two-year horizon. Possible hydrologic inputs are described by an event tree and the resulting stochastic optimization problem is formulated as a network and solved using Benders decomposition. The network model includes a description of operations within each period. A streamflow forecasting model and data handling capabilities are important components of the system.

Original languageEnglish (US)
Title of host publicationProc 22 Annu Conf Integr Water Res Plan 21 Century
Pages828-831
Number of pages4
StatePublished - Jan 1 1995
EventProceedings of the 22nd Annual Conference on Integrated Water Resources Planning for the 21st Century - Cambridge, MA, USA
Duration: May 7 1995May 11 1995

Other

OtherProceedings of the 22nd Annual Conference on Integrated Water Resources Planning for the 21st Century
CityCambridge, MA, USA
Period5/7/955/11/95

ASJC Scopus subject areas

  • Engineering(all)

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    Jacobs, J., Freeman, G., Grygier, J., Morton, D., Schultz, G., Staschus, K., & Stedinger, J. (1995). Stochastic multi-reservoir hydroelectric scheduling model. In Proc 22 Annu Conf Integr Water Res Plan 21 Century (pp. 828-831)