MULTI-AGENT SYSTEM FOR DISTRIBUTED ENERGY SYSTEM CONTROL

The main trend of modern energy systems is smart grids that satisfy modern requirements in the field of energy efficiency and reliability. Achieving these requirements is due to technologies such as energy storage systems, two-way electricity exchange, renewable sources, and others. These technologies are the basis of distributed power systems, which, due to redundancy, make it possible to provide energy for themselves, as well as return additional energy to the primary network. Control algorithms play an important role in this process. The control of a distributed power system using a multi-agent approach, which is an alternative to the traditional control of all processes in the system using a single central processor, is considered in the paper. The proposed approach provides interaction between all objects of the distributed system, transforming them into abstract intelligent nodes - agents with a some degree of freedom in making decisions on the energy distribution. Objects in the distributed power system can be various energy sources, including renewable resources, energy storage devices, as well as various types of devices that are loads in relation to the power grid. In this paper, algorithms for the operation of a multi-agent system are being developed. The JADE (Java Agent Development Environment) platform and the MATLAB / Simulink software package, which implements the mathematical model of the power system, are used to simulate the interaction between the agents of the distributed energy system. As part of the main task of the multi-agent system, the response to emergency events occurring in the system is modeled. It is shown that in the case when the power generated in the system is less than the required one, the loads with the lowest priorities begin to switch off sequentially until the power generated by the alternative sources exceeds the power consumed by the loads. Then, Raspberry Pi, single-board computers based on the BCM2837B0 controller with a large set of input-output ports and a number of communication interfaces are used to prototype the developed system and check algorithms.

JADE, MACSimJX, MATLAB/Simulink, Raspberry Pi

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