Optimization of Large-Scale Hydrothermal System Operation

Zambon, Renato C.; Barros, Mario Thadeu Leme de; Lopes, João E. G.; Barbosa, Paulo Sérgio Franco; Francato, Alberto Luiz; Yeh, William W.‐G.

doi:10.1061/(asce)wr.1943-5452.0000149

Cited by 67 publications

(27 citation statements)

References 25 publications

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“…This is critical in the Brazilian reservoirs context, because many of them are multi-purpose and have operational constraints such as maximum outflow (to avoid downstream floods), maximum forebay elevation (to avoid upstream floods and guarantee the dam safety), and maximum rate of change of outflow and level (ONS, 2011(ONS, , 2012a(ONS, ,b, 2014Zambon et al, 2012Zambon et al, , 2014aCosta et al, 2014;Oliveira et al, 2014).…”

Section: Operational Hydrological Forecasting In Brazilmentioning

confidence: 97%

“…These predictions are generated by the ONS itself for some HPPs, and the utilities operating the HPPs (operators of power plants) are responsible for preparing them in other cases (ONS, 2011(ONS, , 2012a(ONS, ,b, 2014Zambon et al, 2012Zambon et al, , 2014aCosta et al, 2014;Oliveira et al, 2014). The ways in which forecasts are generated in these cases vary widely.…”

Section: Operational Hydrological Forecasting In Brazilmentioning

confidence: 97%

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Verification of inflow into hydropower reservoirs using ensemble forecasts of the TIGGE database for large scale basins in Brazil

Fan

Schwanenberg

Collischonn

et al. 2015

Journal of Hydrology: Regional Studies

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a b s t r a c tStudy region: This paper describes a major ensemble-forecasts verification effort for inflows of three large-scale river basins of Brazil: Upper São Francisco, Doce, and Tocantins Rivers. Study focus: In experimental scenarios, inflow forecasts were generated forcing one hydrological model with quantitative precipitation forecasts (QPF) from three selected models of the TIGGE database. This study provides information on the regional ensemble performance and also evaluates how different QPF models respond for the different basins and what happens with the use of combined QPF in a greater ensemble. New hydrological insights for the region: This work presents one of the first extensive efforts to evaluate ensemble forecasts for large-scale basins in South America using TIGGE archive data. Results from these scenarios provide validation criteria and confirm that ensemble forecasts depend on the particular EPS used to run the hydrological model and on the basin studied. Furthermore, the use of the Super Ensemble seems to be a good strategy in terms of performance and robustness. The importance of the TIGGE database is also highlighted.

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Section: Operational Hydrological Forecasting In Brazilmentioning

confidence: 97%

Section: Operational Hydrological Forecasting In Brazilmentioning

confidence: 97%

Verification of inflow into hydropower reservoirs using ensemble forecasts of the TIGGE database for large scale basins in Brazil

Fan

Schwanenberg

Collischonn

et al. 2015

Journal of Hydrology: Regional Studies

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“…To assess the optimal hydropower production, for the third representative variable, we apply the HIDROTERM model developed by Zambon et al (2012) for a fixed configuration of the system and a moving window over historical inflows scenarios. The objective function of the HIDRO part of the model is to minimize the quadratic deviation from actual production to a given objective demand.…”

Section: World Environmental and Water Resources Congress 2016 84mentioning

confidence: 99%

“…The energy problem was exacerbated by demand increase and delayed expansion of the power In our previous studies, we developed the HIDROTERM model to optimize the management and operation of the Brazilian hydrothermal system. The HIDROTERM model and a review about optimization models for reservoir management, operation and hydropower production were presented by Zambon et al (2012). HIDROTERM includes the joint operation of individual hydropower plants, thermal plants, exchanges, multiple uses of water, and system expansion.…”

Section: Introductionmentioning

confidence: 99%

Impacts of the 2012–2015 Drought on the Brazilian Hydropower System

Zambon¹,

Barros²,

Yeh³

2016

World Environmental and Water Resources Congress 2016

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The Brazilian interconnected power system consists of a set of over 150 medium and large hydropower plants, and is complemented by a large set of small hydropower plants, and thermal and wind power plants. Hydropower plants are operated to meet most of the energy demand, while the complementary system is dispatched to make up the shortage in supply. During 13 years from 2000 to 2012 on average 91% of Brazilian effective electric generation was provided by hydropower. However, in the last three years this percentage was reduced, in sequence, to 79, 73, and 71%. Intense and expensive thermal dispatch was necessary, while hydropower production was reduced and reservoir storages were drawn down. In the last three years, several major watersheds in Brazil have experienced a very severe drought. At the same time, the energy problem was exacerbated by demand increase and delayed expansion of the power system. To analyze the impacts of drought on the hydropower system, we propose to focus not only on the inflows but also on energy. Three variables were compared: historical reservoir inflows from 1930 to 2015, corresponding energy inflows, and optimal hydropower production. A nonlinear programming model, called HIDROTERM, previously developed for the hydrothermal system, was used to evaluate the optimal hydropower production under the historical inflows. We analyzed the intensity and duration of the historical droughts and evaluated the impacts of the most recent 2012-2015 severe drought on the Brazilian hydropower system. World Environmental and Water Resources Congress 2016 82

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“…Yeh (1985), Simonovic (1992), Wurbs (1993), Momoh et al (1999a,b) and Labadie (2004) contributed with important reviews about some methodologies and optimization programming models in the reservoir operation and energy fields. Zambon et al (2012) developed the HIDROTERM model, which aims to optimize the management and operation of the hydrothermal system. HIDROTERM considers individual hydropower plants and includes thermal plants, considering the joint operation.…”

Section: Introductionmentioning

confidence: 99%

Nonlinearities in Reservoir Operation for Hydropower Production

Silva

Zambon

2013

World Environmental and Water Resources Congress 2013

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This work presents a methodology to simplify the nonlinearities involved in reservoir operation that may contribute to the development of simulation and, particularly, optimization models applied to energy generation and multiple uses of the water in complex reservoir systems. The nonlinearities studied include water level, area and storage relations in the reservoirs, as well as evaporation. The proposed methodology uses linear and polynomial regression in order to simplify the level-area-storage curves, often represented by fourth degree polynomials. For evaporation, the calculation proposed is based on the history of monthly averages storages and corresponding areas before the optimization process, eliminating the need of calculating the area which represents a nonlinear constraint in the optimization problems. The methodology was added in HIDROTERM, a nonlinear programming model applied to optimize the management and operation of the Brazilian hydrothermal system, a linked network with 143 reservoirs in which e 68 are run-ofriver and 75 have storage to regulate flows. Using a very conservative setting, without compromising accuracy in results, all reservoirs had level-area-storage curves simplified to first or second degree polynomials. For evaporation, only two reservoirs had a difference in the standard deviation greater than 0.5% of the long term average inflow from the estimated value to the calculated one. The processing time was reduced on average by 52%. This reduction is very welcome given that it is currently under development a new stochastic version of the model, originally deterministic, with a large increase in the problem's dimensions.

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Optimization of Large-Scale Hydrothermal System Operation

Cited by 67 publications

References 25 publications

Verification of inflow into hydropower reservoirs using ensemble forecasts of the TIGGE database for large scale basins in Brazil

Verification of inflow into hydropower reservoirs using ensemble forecasts of the TIGGE database for large scale basins in Brazil

Impacts of the 2012–2015 Drought on the Brazilian Hydropower System

Nonlinearities in Reservoir Operation for Hydropower Production

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