The article draws attention to the fact that nowadays the demand for energy is not decreasing, but its cost is increasing. The need to research the parameters of photovoltaic modules and the capabilities of microprocessor technology for this is substantiated. It is noted that the scheme of electric distribution networks has become more difficult to operate, and the algorithms and methods of reliable and optimal management of modes are changing due to the modernization of the infrastructure of electricity supply and electricity consumption of the district. Nowadays, renewable energy sources are installed in the electrical distribution system at various levels of power supply and power transmission between the substation and consumers. Due to damage to the electrical equipment, there may be interruptions in the power supply, which unintentionally cause "islanding". During operation, situations sometimes arise when the power supply system of the "islands" is promptly de-energized starting from the points of connection of the "islands" to the unified electric power system. This happens based on the results of measuring the parameters of the mode of local electric power systems or based on the results of mathematical modeling of processes in local electric systems when, for example, the current levels of nodal voltages will not allow the use of an "island" electric network. For the purpose of researching processes in local electrical systems with photovoltaic plants, the article proposes their physical model in the form of a research bench, which can be used during the practical training of future employees who will manage the modes of distribution electrical networks with photovoltaic plants and maintain the equipment of such networks, systems and electrical stations Algorithms for optimal management of generated power, consumption and accumulation of electric energy tested using the proposed stand are designed to show the operating personnel ways of high-quality operation of distribution electric networks under the conditions of implementation of the Smart Grids concept.