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A Continuous Multistage Load Shedding Algorithm for Industrial Processes Based on Metaheuristic Optimization

Author

Listed:
  • Florin-Constantin Baiceanu

    (Department of Power Engineering, “Gheorghe Asachi” Technical University of Iasi, 700050 Iasi, Romania)

  • Ovidiu Ivanov

    (Department of Power Engineering, “Gheorghe Asachi” Technical University of Iasi, 700050 Iasi, Romania)

  • Razvan-Constantin Beniuga

    (Department of Power Engineering, “Gheorghe Asachi” Technical University of Iasi, 700050 Iasi, Romania)

  • Bogdan-Constantin Neagu

    (Department of Power Engineering, “Gheorghe Asachi” Technical University of Iasi, 700050 Iasi, Romania)

  • Ciprian-Mircea Nemes

    (Department of Power Engineering, “Gheorghe Asachi” Technical University of Iasi, 700050 Iasi, Romania)

Abstract

At complex industrial sites, the high number of large consumers that make the technological process chain requires direct supply from the main high-voltage grid. Often, for operational flexibility and redundancy, the main external supply is complemented with small local generation units. When a contingency occurs in the grid and the main supply is cut off, the local generators are used to keep in operation the critical consumers until the safe shutdown of the entire process can be achieved. In these scenarios, in order to keep the balance between local generation and consumption, the classic approach is to use under-frequency load-shedding schemes. This paper proposes a new load-shedding algorithm that uses particle swarm optimization and forecasted load data to provide a low-cost alternative to under-frequency methods. The algorithm is built using the requirements and input data provided by a real industrial site from Romania. The results show that local generation and critical consumption can be kept in stable operation for the time interval required for the safe shutdown of the running processes.

Suggested Citation

  • Florin-Constantin Baiceanu & Ovidiu Ivanov & Razvan-Constantin Beniuga & Bogdan-Constantin Neagu & Ciprian-Mircea Nemes, 2023. "A Continuous Multistage Load Shedding Algorithm for Industrial Processes Based on Metaheuristic Optimization," Mathematics, MDPI, vol. 11(12), pages 1-19, June.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:12:p:2684-:d:1170252
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    References listed on IDEAS

    as
    1. Laura M. Cruz & David L. Alvarez & Ameena S. Al-Sumaiti & Sergio Rivera, 2020. "Load Curtailment Optimization Using the PSO Algorithm for Enhancing the Reliability of Distribution Networks," Energies, MDPI, vol. 13(12), pages 1-15, June.
    2. Jafar Jallad & Saad Mekhilef & Hazlie Mokhlis & Javed Laghari & Ola Badran, 2018. "Application of Hybrid Meta-Heuristic Techniques for Optimal Load Shedding Planning and Operation in an Islanded Distribution Network Integrated with Distributed Generation," Energies, MDPI, vol. 11(5), pages 1-25, May.
    3. Kai Wang & Lixia Kang & Songhao Yang, 2022. "A Coordination Optimization Method for Load Shedding Considering Distribution Network Reconfiguration," Energies, MDPI, vol. 15(21), pages 1-18, November.
    4. Ying-Yi Hong & Chih-Yang Hsiao, 2021. "Event-Based Under-Frequency Load Shedding Scheme in a Standalone Power System," Energies, MDPI, vol. 14(18), pages 1-19, September.
    5. Olumuyiwa T. Amusan & Nnamdi I. Nwulu & Saheed Lekan Gbadamosi, 2022. "Identification of Weak Buses for Optimal Load Shedding Using Differential Evolution," Sustainability, MDPI, vol. 14(6), pages 1-12, March.
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