Abstract
The article is devoted to the problem of increasing the efficiency of renewable energy sources (RES). The development of distributed energy based on renewable energy sources is one of the most important areas for ensuring the energy security of consumers and reducing the anthropogenic load on the environment. Combining distributed sources of electricity into virtual power plants (VPP) with a general control system makes it possible to use the potential of renewable energy sources more efficiently. An approach to the management of energy exchange in a virtual power plant (VPP) based on a multi-agent system (MAS) is proposed and substantiated, taking into account the criterion of environmental friendliness of distributed generation (DG) installations and ensuring the efficient use of environmentally friendly renewable energy sources. Algorithms for the operation of generation and load agents have been developed to control energy exchange in a virtual power plant based on a multi-agent system. The algorithms differ in taking into account the environmental friendliness rating of distributed generation installations and allow you to maximize the renewable energy sources potential, ensuring the balance of electrical power in the virtual power plant and minimal losses during its transmission. A 20 kV virtual power plant is considered, combining 10 decentralized power supply systems (DPSS) with sources of distributed generation of various types and having the ability to exchange electricity with a centralized power system (CES). With the help of software complexes JADE and “RastrWin”, a study of the effectiveness of the method for controlling energy exchange in virtual power plant based on multi-agent system was carried out, taking into account the environmental rating of distributed generation installations. The results of the research showed that the use of a multi-agent approach to control the virtual power plant made it possible to increase the share of the use of renewable energy sources and reduce power losses in the electrical network.
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