A number of deterministic reservoir optimization models are capable of finding optimal basin allocation over multiple time steps simultaneously. This is commonly referred to as Multiple Time Step Optimization (MTO). However, such solutions are predicated on perfect foreknowledge of incoming runoff over the entire simulated period (typically one year), which is not available to reservoir operators in real time, thus creating a gap between the results of MTO-based modeling and their practical use. There is no universally accepted methodology on how the results of MTO should be used to develop practical and easy-to-understand operating rules. This paper offers a simple approach to bridge this gap and suggests additional avenues for further research in this direction.
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Research Article|
October 26 2010
Improving real-time reservoir operation based on combining demand hedging and simple storage management rules
Nesa Ilich
1Optimal Solutions Ltd., Calgary, Alberta, T2K 1C8 Canada
E-mail: [email protected]
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Journal of Hydroinformatics (2011) 13 (3): 533–544.
Article history
Received:
September 30 2009
Accepted:
February 07 2010
Citation
Nesa Ilich; Improving real-time reservoir operation based on combining demand hedging and simple storage management rules. Journal of Hydroinformatics 1 July 2011; 13 (3): 533–544. doi: https://doi.org/10.2166/hydro.2010.183
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