Application Of Multi-agent Approach Research Articles

Application of multi-agent approach in the electric power control systems within the active energy complex

This paper provides an analytical overview of artificial intelligence technologies used in the tasks of technological management of the electric power industry. The relevance of using multi-agent systems is proved for solving energy problems. The concept of an intelligent energy system is considered with an active adaptive network (IES AAN). A block diagram of the electric power system management system is given within the IES AAN. It is shown that the developed centralized management principles are not fully applicable for small distribution networks – microgrid, with the use of storage devices and renewable sources. The article describes the active energy complex in Russia in the context of an analog of the Microgrid concept. The required functionality of a intelligent controllable connection (ICC) is studied, the main algorithm of the ICC operation is given, and the proposed structure is described for building a distributed system of intelligent multi-agent control of the AEC that implements the required functions.

Resource management simulation using multi-agent approach and semantic constraints

The resource management in a dynamic environment is a really complex problem. If semantic constraints are taken into account the complexity increases significantly. The problem definition of resource management using semantic constraints in the subject domain is demonstrated by means of an example of manufacturing scheduling. The application of multiagent approach is suggested and examined to solve the resource management problem. Experiments simulate two types of calculations of the resource allocation problem in manufacturing scheduling: the multi-agent approach and the sequential calculations. The experiments have demonstrated the effectiveness of multi-agent approach to solve the above defined problem.