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Hybrid Intelligent Multi-agent System for Power Restoration

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Open Semantic Technologies for Intelligent System (OSTIS 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1282))

Abstract

The problem of restoration of the power grid after shutdowns requires extensive heterogeneous knowledge, has high combinatorial complexity, many limitations and conditions, including limitation on the decision-making time. Under such conditions, traditional abstract-mathematical methods are irrelevant to the complexity of the control object, and solving the problem by expert team is irrelevant to its dynamism. In this regard, hybrid intelligent multi-agent system that model collective heterogeneous thinking processes during the decision-making under the guidance of a facilitator are proposed to solve problems in dynamic environments, in particular distribution grid restoration-planning problem. The paper discusses the model, the functional structure, and the collective heterogeneous thinking protocol of such systems.

The reported study was funded by RFBR according to the research project No. 18-07-00448A.

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Authors and Affiliations

  1. Kaliningrad Branch of the Federal Research Center“Computer Science and Control” of the Russian Academy of Sciences, Kaliningrad, 236022, Russian Federation

    Sergey Listopad

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  1. Sergey Listopad
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Correspondence to Sergey Listopad .

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Editors and Affiliations

  1. Belarusian State University of Informatics and Radioelectronics, Minsk, Belarus

    Vladimir Golenkov

  2. Department of Information Systems Management, Belarusian State University, Minsk, Belarus

    Victor Krasnoproshin

  3. Brest State Technical University, Brest, Belarus

    Vladimir Golovko

  4. Belarusian State University of Informatics and Radioelectronics, Minsk, Belarus

    Elias Azarov

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Listopad, S. (2020). Hybrid Intelligent Multi-agent System for Power Restoration. In: Golenkov, V., Krasnoproshin, V., Golovko, V., Azarov, E. (eds) Open Semantic Technologies for Intelligent System. OSTIS 2020. Communications in Computer and Information Science, vol 1282. Springer, Cham. https://doi.org/10.1007/978-3-030-60447-9_16

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  • DOI: https://doi.org/10.1007/978-3-030-60447-9_16

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