Evaluation of Operational Efficiency of Agent- Based Microgrid in Arctic Enclave

In this paper, we propose an approach for estimating multi-objective operational efficiency of microgrid. The proposed approach is based on analyzing various microgrid components in the form of distributed intelligent agents in a framework of multi-agent system (MAS), which allows evaluating the operational efficiency of agents individually, as well as the efficiency of the microgrid as a combined system. Moreover, we introduce a novel unified agent representation, appropriate for a variety of dynamic systems containing a combination of both continuous and discrete event processes. The elaborated scheme gives the possibility to formalize the process of integrating heterogeneous objective functions into certain combined criteria. Different efficiency criteria are considered in this work: technical, economic and ecological. The algorithm of microgrid efficiency estimation is carried out based on an application of designing an eco-friendly hybrid power generating system, producing electricity and heat in Arctic enclave.