Co-Optimization of Reservoir and Power Systems (COREGS) for seasonal planning and operation
Climate variability accounts for distinct seasonal differences in electricity demand and streamflow potential, which power systems rely on to assess available hydropower and to cool thermal power plants. Understanding the interactions between reservoir and power networks under varying climate condit...
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Format: | Article |
Language: | English |
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Elsevier
2022-11-01
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Series: | Energy Reports |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S235248472201157X |
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author | Lucas Ford Anderson de Queiroz Joseph DeCarolis A. Sankarasubramanian |
author_facet | Lucas Ford Anderson de Queiroz Joseph DeCarolis A. Sankarasubramanian |
author_sort | Lucas Ford |
collection | DOAJ |
description | Climate variability accounts for distinct seasonal differences in electricity demand and streamflow potential, which power systems rely on to assess available hydropower and to cool thermal power plants. Understanding the interactions between reservoir and power networks under varying climate conditions requires an integrated analysis of both systems. In this study, we develop Co-Optimization of Reservoir and Electricity Generation Systems (COREGS), a generalized, open-source, modeling framework that optimizes both systems with respect to reducing power generation costs using a multireservoir model (GRAPS) and an electricity system model (TEMOA). Three optimization schemes of varying degrees of model integration are applied to Tennessee Valley Authority’s reservoir and electricity systems for the summer and winters from 2003 to 2015. We find that co-optimization of the systems results in more efficient water allocation decisions than separate optimization. Co-optimization solutions reduce reservoir spill and allocate water for hydropower only when and where it is beneficial to the power system as compared to stand-alone water system optimization. As the penetration of solar and wind power continues to increase, power systems will be more reliant on flexible reliable generating services such as reservoir systems and co-optimization of both systems will become more essential for efficient seasonal planning and operation. |
first_indexed | 2024-04-10T09:09:52Z |
format | Article |
id | doaj.art-58dd708486ea4e6fbda71dce269f62cb |
institution | Directory Open Access Journal |
issn | 2352-4847 |
language | English |
last_indexed | 2024-04-10T09:09:52Z |
publishDate | 2022-11-01 |
publisher | Elsevier |
record_format | Article |
series | Energy Reports |
spelling | doaj.art-58dd708486ea4e6fbda71dce269f62cb2023-02-21T05:11:59ZengElsevierEnergy Reports2352-48472022-11-01880618078Co-Optimization of Reservoir and Power Systems (COREGS) for seasonal planning and operationLucas Ford0Anderson de Queiroz1Joseph DeCarolis2A. Sankarasubramanian3Department of Civil, Construction, and Environmental Engineering, North Carolina State University, Raleigh, NC, United States of America; Corresponding author.Department of Civil, Construction, and Environmental Engineering, North Carolina State University, Raleigh, NC, United States of America; Department of Decision Sciences, Economics and Finance, North Carolina Central University, Durham, NC, United States of AmericaDepartment of Civil, Construction, and Environmental Engineering, North Carolina State University, Raleigh, NC, United States of AmericaDepartment of Civil, Construction, and Environmental Engineering, North Carolina State University, Raleigh, NC, United States of AmericaClimate variability accounts for distinct seasonal differences in electricity demand and streamflow potential, which power systems rely on to assess available hydropower and to cool thermal power plants. Understanding the interactions between reservoir and power networks under varying climate conditions requires an integrated analysis of both systems. In this study, we develop Co-Optimization of Reservoir and Electricity Generation Systems (COREGS), a generalized, open-source, modeling framework that optimizes both systems with respect to reducing power generation costs using a multireservoir model (GRAPS) and an electricity system model (TEMOA). Three optimization schemes of varying degrees of model integration are applied to Tennessee Valley Authority’s reservoir and electricity systems for the summer and winters from 2003 to 2015. We find that co-optimization of the systems results in more efficient water allocation decisions than separate optimization. Co-optimization solutions reduce reservoir spill and allocate water for hydropower only when and where it is beneficial to the power system as compared to stand-alone water system optimization. As the penetration of solar and wind power continues to increase, power systems will be more reliant on flexible reliable generating services such as reservoir systems and co-optimization of both systems will become more essential for efficient seasonal planning and operation.http://www.sciencedirect.com/science/article/pii/S235248472201157XMultireservoir optimizationEnergy system optimizationHydropowerSeasonal planning |
spellingShingle | Lucas Ford Anderson de Queiroz Joseph DeCarolis A. Sankarasubramanian Co-Optimization of Reservoir and Power Systems (COREGS) for seasonal planning and operation Energy Reports Multireservoir optimization Energy system optimization Hydropower Seasonal planning |
title | Co-Optimization of Reservoir and Power Systems (COREGS) for seasonal planning and operation |
title_full | Co-Optimization of Reservoir and Power Systems (COREGS) for seasonal planning and operation |
title_fullStr | Co-Optimization of Reservoir and Power Systems (COREGS) for seasonal planning and operation |
title_full_unstemmed | Co-Optimization of Reservoir and Power Systems (COREGS) for seasonal planning and operation |
title_short | Co-Optimization of Reservoir and Power Systems (COREGS) for seasonal planning and operation |
title_sort | co optimization of reservoir and power systems coregs for seasonal planning and operation |
topic | Multireservoir optimization Energy system optimization Hydropower Seasonal planning |
url | http://www.sciencedirect.com/science/article/pii/S235248472201157X |
work_keys_str_mv | AT lucasford cooptimizationofreservoirandpowersystemscoregsforseasonalplanningandoperation AT andersondequeiroz cooptimizationofreservoirandpowersystemscoregsforseasonalplanningandoperation AT josephdecarolis cooptimizationofreservoirandpowersystemscoregsforseasonalplanningandoperation AT asankarasubramanian cooptimizationofreservoirandpowersystemscoregsforseasonalplanningandoperation |