The paper is devoted to the problems of MicroGrid technology development, consisting in the construction of a distributed energy supply system based on autonomous energy generation sources. The objective of the paper is to construct models and procedures for decision support in multi-criteria selection of combined autonomous energy generation projects from a large number of possible alternatives. To achieve the objective, a morphological analysis of the subject area was carried out (using the method of systematic field coverage by F. Zwicky), as a result of which a space of alternatives of combined energy sources was constructed. A group ordering of criteria was carried out based on their expert assessment. Sequential application of the modified analytical network method using ordered groups of criteria made it possible to limit the number of criteria taken into account at each stage (by the number of criteria in a group) and consistently reduce the number of alternatives (considering only a few of the best alternatives of the previous stage). The proposed multi-stage procedure makes it possible to reduce (at each stage) the dimension of the supermatrix of the analytical network method and, thereby, reduce the time complexity of the procedure compared to the direct application of this method. The use of the proposed procedure makes it possible to consider a larger number of alternatives taking into account a larger number of criteria (compared to traditional methods of decision support), and, therefore, allows for an increase in the level of scientific validity of technical and economic decisions when designing MicroGrid systems

Keywords: MicroGrid, autonomous power system, decision support, analytical network method

The work is devoted to the problem of providing electrical energy to remote production enterprises in the absence of a centralized power supply. The purpose of the work is to develop decision support tools for choosing autonomous power generation projects from a large number of possible alternatives. To achieve this purpose, a hierarchy of criteria was constructed and a comparative analysis of existing technical and economic solutions in the field of small-scale autonomous energy was carried out. It is shown that when choosing a power generation project for a particular enterprise, there is a fairly large number of alternatives, which makes the use of commonly used decision support procedures based on the hierarchy analysis method/analytical network method (in the classical version) ineffective. An iterative procedure with dynamic changes in feedback between criteria and alternatives is proposed, which makes it possible to reduce the dimension of the supermatrix during the calculation process and, thereby, reduce the time complexity of the algorithms. The effectiveness of the proposed modification of the analytical network method is confirmed by calculations. The constructed procedure for selecting an autonomous power generation project makes it possible to increase the level of scientific validity of technical and economic decisions when expanding the production activities of small enterprises in remote and sparsely populated areas.

Keywords: autonomous power system, decision support, analytical network method