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The problems of dynamic systems’ management, in particular the regional power distribution grid, are characterized by heterogeneity, lack of time for decision-making, distribution and partial observability of the control object, as well as the interdependence of actions performed and decisions made. Traditional abstract mathematical methods used in electric power industry are not relevant to such problems due to their inherent non-factors, and therefore solve only well formalized parts of these problems. To provide information support for solving problems in dynamic environments, a new class of intelligent systems is proposed, which simulate collective decision-making under the guidance of a facilitator, namely hybrid intelligent multi-agent systems of heterogeneous thinking. The presence of a hybrid component in these systems provides the opportunity to work with the heterogeneity of problems, and the presence of intelligent selforganizing agents make it possible to relevantly model effective problem-solving practices of expert teams in order to provide operational dispatching personnel with relevant solutions under time pressure. The paper considers the architecture of such a system for solving the problem of restoring the regional power distribution grid after large-scale accidents.

Architecture of the Hybrid Intelligent Multi-agent System of Heterogeneous Thinking for Planning of Distribution Grid Restoration