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Abstract <p>This article elaborates a practical mixed-integer programming (MIP) formulation for addressing the short-term hydrothermal coordination (STHTC) in Uruguay, a country with highly diversified energy mix, where renewable sources typically supply over 95% of the national electricity demand. The model is implemented and tested on a set of instances based on real data and national regulations. The results evince that using a standard solver to address these instances is a highly efficient approach, yielding near-optimal solutions within minutes while accurately capturing the nonlinearities of hydroelectric production and the detailed structure of the cost formation process.</p>

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An Enriched Mixed Combinatorial Optimization Model to Manage the Hydrothermal Dispatch for the Río Negro Hydroelectric Complex

  • 期刊论文

  • 发表日期：

    2026年6月23日

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  • Claudio Risso,
  • Sergio Nesmachnow,
  • Mario Vignolo,
  • Ignacio Ramírez,
  • Rodrigo Porteiro,
  • Mario Ibarburu,
  • Emiliano Sierra

摘要

Abstract

This article elaborates a practical mixed-integer programming (MIP) formulation for addressing the short-term hydrothermal coordination (STHTC) in Uruguay, a country with highly diversified energy mix, where renewable sources typically supply over 95% of the national electricity demand. The model is implemented and tested on a set of instances based on real data and national regulations. The results evince that using a standard solver to address these instances is a highly efficient approach, yielding near-optimal solutions within minutes while accurately capturing the nonlinearities of hydroelectric production and the detailed structure of the cost formation process.