Integration of Water Transfers in Hydropower Operation Planning

Roberto Asano (), Fabiana de Oliveira Ferreira, Jacyro Gramulia and Patrícia Teixeira Leite Asano ()
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Roberto Asano: Graduate Program on Energy, Federal University of ABC (UFABC), Santo André 09280-560, Brazil
Fabiana de Oliveira Ferreira: Department of Ocean Science, Federal University of São Paulo (UNIFESP), Santos 11070-100, Brazil
Jacyro Gramulia: Electrical Department (DEL), Federal Institute of São Paulo (IFSP), São Paulo 01109-010, Brazil
Patrícia Teixeira Leite Asano: Center for Engineering, Modeling and Applied Social Sciences, Federal University of ABC (UFABC), Santo André 09280-560, Brazil

Energies, 2024, vol. 17, issue 23, 1-16

Abstract: The rising demand for clean energy production due to climate change emphasizes the importance of optimizing water resources, particularly in countries with significant hydropower potential. Existing models for the Operational Planning of Hydropower Systems (HPSOP) typically focus on the natural flows of rivers, often overlooking the potential of water transfers between rivers and basins. To address this gap, this article employs an improved mathematical model of hydropower production, considering the adjustment of the water transfer in the operation schedule as an additional optimization variable. A customized meta-heuristic, named the Evolutionary Socio-Bio Inspired Technique (ESBIT), has been tailored to integrate water transfer mechanisms into the operational planning model. The proposed model was validated through a case study at the Henry Borden Complex in São Paulo, Brazil, using real power plant parameters and inflow data from the Brazilian system. The results obtained from the test case, both with and without water transfer, demonstrate that the proposed methodology effectively captures the operational characteristics of a system that allows water transfers between rivers or basins to optimize the available water resources and system costs.

Keywords: operation planning; hydropower; water transfers; optimization; ESBIT (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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