Performance Comparison of Equivalent Reservoir and Multireservoir Models in Forecasting Hydropower Potential for Linking Water and Power Systems
Publication: Journal of Water Resources Planning and Management
Volume 147, Issue 4
Abstract
To link water and power systems on a regional scale, equivalent reservoir models—an aggregated representation of a multireservoir system—are commonly used because conventional river-basin scale optimization models become computationally expensive with increasing dimensionality. Although equivalent reservoir models are widely applied in power system operation, analyses comparing the performance of equivalent reservoir models with multireservoir cascade models are limited. To this end, this study systematically compares two equivalent reservoir models, an aggregated water balance and an energy balance representation, with a multireservoir cascade representation for a system of three reservoirs in series in Savannah, South Carolina, in terms of the total end-of-period release, hydropower and storage based on simulation, simulation optimization, and analytically over a 30-year period. Findings from the pilot basin are generalized by altering the storage-to-demand ratio (SDR) to understand the effect of different system characteristics on the equivalent reservoir representation under observed and predicted inflows of different skills. Equivalent reservoir models perform similarly to the cascade model for systems with large SDRs, but for systems with smaller SDRs, equivalent reservoir models perform poorly because spill and other losses from individual reservoirs cannot be effectively represented in the aggregated approach.
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Data Availability Statement
All data used in this analysis are available from the authors upon request.
Acknowledgments
This research work was partially funded by the project Cybersees Type 2: Cyber-Enabled Water and Energy Systems Sustainability Utilizing Climate Information (https://www.nsf.gov/awardsearch/showAward?AWD_ID=1442909).
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Journal of Water Resources Planning and Management
Volume 147 • Issue 4 • April 2021
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© 2021 American Society of Civil Engineers.
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Received: Jan 28, 2020
Accepted: Oct 2, 2020
Published online: Jan 21, 2021
Published in print: Apr 1, 2021
Discussion open until: Jun 21, 2021
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