An Optimization Model for Operations of Large scale Hydro Power Plants

Globally, there is an increase in the proportion of renewable sources for electricity generation. Among renewable sources, hydropower is the most widespread. For this reason, the improvements of their applications have been the focus of researches. Hydroelectric power plants have numerous aspects wh...

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Veröffentlicht in:Revista IEEE América Latina Jg. 18; H. 9; S. 1631 - 1638
1. Verfasser: Alvarez, Gonzalo
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Los Alamitos IEEE 01.09.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Computational modeling
Decision making
Economic models
Electric Power Generation
Floodgates
Hydraulic Head
Hydraulic systems
Hydroelectric plants
Hydroelectric power
Hydroelectric power generation
IEEE transactions
Itaipú
Mathematical model
Mixed integer
Mixed Integer Linear Programming
Operating Curves
Optimization
Optimization models
Power plants
Silicon compounds
Turbines
ISSN:1548-0992, 1548-0992
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Zusammenfassung:Globally, there is an increase in the proportion of renewable sources for electricity generation. Among renewable sources, hydropower is the most widespread. For this reason, the improvements of their applications have been the focus of researches. Hydroelectric power plants have numerous aspects which might represent several economic advantages, if they are operated efficiently. Mathematical optimization models are interesting tools that help in the decision-making processes. In this context, this paper introduces a new Mixed Integer Lineal Programming model that determines the most convenient combination of units to operate a large-scale hydro power plant. Several aspects of reality are taken into account, which are sometimes not considered, such as the variation of the hydraulic head and the performance of other elements besides the turbines, as floodgates. To prove the effectiveness of the new model, the Itaipú Power Plant is selected as a case study. It has an installed power capacity of 14,000 MW and holds the world record in terms of annual generation with 103 million MWh. Three possible scenarios are evaluated in order to analyze the behavior of this plant in normal and extreme situations. The results indicate that the model effectively reduces computational times, and that power generation is influenced by market price variations and reservoir limitations..
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ISSN:1548-0992
1548-0992
DOI:10.1109/TLA.2020.9381806