Formulation of complex optimization problem of constructing microgrids in the arctic enclave based on multi-agent representation

In this paper, an approach for multi-objective optimization for agent-based microgrid energy production is proposed. The approach represented in this paper is based on analyzing microgrid objects as distributed agents forming a multi-agent system (MAS), which gives the possibility to evaluate the efficiency of microgrid as a whole, as well as the functioning efficiency of each separate agent. The elaborated scheme also gives the possibility to formalize the process of integrating heterogeneous objective functions into certain combined criteria. The construction of the algorithm for evaluating the efficiency of the micro-energy system is carried out in relation to the example of designing a hybrid-generating and environmentally safe heat-electric supply system of the Arctic enclave.