The main function of energy storage systems is to ensure continuous access to power supply and reduce the likelihood of energy resource losses. Such systems are widely used in Microgrids and can smooth the transition between grid and off-grid operation. Powerful energy storage systems are needed to level out changes in the electrical load that occur due to the operation of substations or distributed sources of electricity, such as wind turbines. Today, there are standards governing the control of such systems, but they are designed for limited applications. Therefore, there is no single approach to modeling and no standard data model for energy consumption and generation levels, battery status, reliability and efficiency indicators, etc. This study considers methods for managing electricity storage systems and their adaptation to ensure interoperability. The described systems do not require changes in the control schemes used by consumers. In addition, the use of an interoperable data model facilitates faster connection and configuration. The results of a comparative analysis of the methods used in different power management systems show that most systems have interaction conflicts, so the main problem is the development of an interoperable network. The paper proposes an ontological model of an energy-efficient network and presents its formalization, elements of such an ontology are described and its components are depicted. It is these relationships that make it possible to integrate data from heterogeneous hybrid networks to increase the efficiency of their processing, as well as improve the quality of power grid performance indicators.