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Leveraging Dynamic Pricing and Real-Time Grid Analysis: A Danish Perspective on Flexible Industry Optimization

Author

Listed:
  • Sreelatha Aihloor Subramanyam

    (Department of Energy, Aalborg University, 9220 Aalborg, Denmark)

  • Sina Ghaemi

    (Department of Energy, Aalborg University, 9220 Aalborg, Denmark)

  • Hessam Golmohamadi

    (Department of Energy, Aalborg University, 9220 Aalborg, Denmark)

  • Amjad Anvari-Moghaddam

    (Department of Energy, Aalborg University, 9220 Aalborg, Denmark)

  • Birgitte Bak-Jensen

    (Department of Energy, Aalborg University, 9220 Aalborg, Denmark)

Abstract

Flexibility is advocated as an effective solution to address the growing need to alleviate grid congestion, necessitating efficient energy management strategies for industrial operations. This paper presents a mixed-integer linear programming (MILP)-based optimization framework for a flexible asset in an industrial setting, aiming to minimize operational costs and enhance energy efficiency. The method integrates dynamic pricing and real-time grid analysis, alongside a state estimation model using Extended Kalman Filtering (EKF) that improves the accuracy of system state predictions. Model Predictive Control (MPC) is employed for real-time adjustments. A real-world case studies from aquaculture industries and industrial power grids in Denmark demonstrates the approach. By leveraging dynamic pricing and grid signals, the system enables adaptive pump scheduling, achieving a 27% reduction in energy costs while maintaining voltage stability within 0.95–1.05 p.u. and ensuring operational safety. These results confirm the effectiveness of grid-aware, flexible control in reducing costs and enhancing stability, supporting the transition toward smarter, sustainable industrial energy systems.

Suggested Citation

  • Sreelatha Aihloor Subramanyam & Sina Ghaemi & Hessam Golmohamadi & Amjad Anvari-Moghaddam & Birgitte Bak-Jensen, 2025. "Leveraging Dynamic Pricing and Real-Time Grid Analysis: A Danish Perspective on Flexible Industry Optimization," Energies, MDPI, vol. 18(15), pages 1-18, August.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:15:p:4116-:d:1716599
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    References listed on IDEAS

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    1. Sulman Shahzad & Elżbieta Jasińska, 2024. "Renewable Revolution: A Review of Strategic Flexibility in Future Power Systems," Sustainability, MDPI, vol. 16(13), pages 1-24, June.
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