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Reducing the Peak Power Demand and Setting the Proper Operating Regimes of Electrical Energy Devices in an Industrial Factory Using a Multi-Agent System—The Solutions of the DIEGO Project

Author

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  • Łukasz Rokicki

    (Electrical Power Engineering Institute, Warsaw University of Technology, Koszykowa 75 Street, 00-662 Warsaw, Poland)

  • Mirosław Parol

    (Electrical Power Engineering Institute, Warsaw University of Technology, Koszykowa 75 Street, 00-662 Warsaw, Poland)

  • Piotr Pałka

    (Institute of Control and Computation Engineering, Warsaw University of Technology, Nowowiejska 15/19 Street, 00-665 Warsaw, Poland)

  • Marcin Kopyt

    (Electrical Power Engineering Institute, Warsaw University of Technology, Koszykowa 75 Street, 00-662 Warsaw, Poland)

Abstract

Reducing the peak power demand at the level of a considered factory and setting the proper operating regimes of electrical devices located in a factory are the problems raised in this paper. These are essential challenges in industrial facilities, especially when existing highly variable loads for power demand, highly variable renewable sources for power generation, and electrical energy storage systems are considered. Appropriate studies relating to this question were performed within the DIEGO international research project (Digital Energy Path for Planning and Operation of Sustainable Grid, Products, and Society). First, the paper presents the technical characteristics of the electric power grid in the considered factory and analyses the results of the measurements performed in the scope of the load and generation of electrical energy in the factory. Next, the paper presents considered preventive measures for limiting peak electric loads at the industrial enterprise level and describes the results of the effectiveness evaluation of the defined preventive measures. The issue of setting the proper operating regimes for electrical devices installed in the factory is also presented. Multi-agent systems have been implemented for this purpose. The paper presents and discusses the results of the implementation.

Suggested Citation

  • Łukasz Rokicki & Mirosław Parol & Piotr Pałka & Marcin Kopyt, 2025. "Reducing the Peak Power Demand and Setting the Proper Operating Regimes of Electrical Energy Devices in an Industrial Factory Using a Multi-Agent System—The Solutions of the DIEGO Project," Energies, MDPI, vol. 18(10), pages 1-33, May.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:10:p:2416-:d:1651562
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    References listed on IDEAS

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    1. Soud K. Al-Thani & Alexandre Amato & Muammer Koç & Sami G. Al-Ghamdi, 2019. "Urban Sustainability and Livability: An Analysis of Doha’s Urban-form and Possible Mitigation Strategies," Sustainability, MDPI, vol. 11(3), pages 1-25, February.
    2. Pardo, Nicolás & Moya, José Antonio, 2013. "Prospective scenarios on energy efficiency and CO2 emissions in the European Iron & Steel industry," Energy, Elsevier, vol. 54(C), pages 113-128.
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    1. Szymon Pawlak & Mariola Saternus & Krzysztof Nowacki, 2025. "Application of Discrete Event Simulation in the Analysis of Electricity Consumption in Logistics Processes," Energies, MDPI, vol. 18(17), pages 1-18, August.

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