COMPARATIVE ANALYSIS OF SOFTWARE FOR AUTOMATING THE PROCESS OF MICROGRID MODELING
The paper focuses on the problem of microgrid modeling. Microgrids are local energy systems characterized by the presence of their own infrastructures. Microgrids are generally capable of autonomous operation and include various sources of power generation. At present, the problem is significantly relevant, since the determination of the required structural and parametric characteristics of such complex systems necessitates studying various modes of their operation with different configurations of power generation. Generally, modeling is used to study such properties of microgrids as their survivability and reliability, the ability to self-organize, the ability to regulate the supply and demand of energy resources, the degree of renewable resources usage, and other important features. The paper provides a comparative analysis of well-known tools developed and used to automate the process of microgrid modeling. It also highlights key characteristics that such tools should have. The functionality of the described tools is discussed. It is shown that for the effective study of microgrids, it is necessary to use advanced tools for building their models, and preparing and conducting large-scale experiments using parallel and distributed computing. Possible directions for such tools are highlighted.