This article examines the architecture of a design decision support system (DSS) for microgrid development. Microgrid use stems from the need to power autonomous facilities located remote from primary power sources. The emergence and development of microgrid technologies as distributed energy supply systems based on autonomous power generation sources poses the challenge of creating balanced microgrid systems. Microgrids face the need for restructuring throughout their life cycle. Reconfiguration, modernization, or expansion of microgrid systems occurs throughout the system's life cycle. Reconfiguration is most often associated with changes or increases in load, equipment depreciation, changing economic conditions, technological advances, and changing system and environmental requirements. The relevance of micriogrid rebalancing is driven by the need for an uninterrupted power supply to autonomous facilities located remote from primary power sources. Methods for developing DSS architectures are discussed. To address the problem of creating and selecting microgrid system designs, we propose using a classic, four-component design decision support system consisting of information, algorithmic, interface, and intelligent subsystems. Each subsystem is described based on its purpose. Improvements to the algorithmic module—the decision support module—are proposed. These improvements represent a set of algorithms that provide decision support for microgrid rebalancing tasks.