Modelling of Intelligent Agents for Energy Distribution Control

Abstract

The purpose of the paper is to present the model of intelligent control of power network, for mechatronics systems such as public electric transport. The paper presents the model and the Menger's algorithm for optimization of servicing time for electric substations. Algorithm is based on artificial intelligence and allows to solve both static and dynamic optimization problems. An intelligent multi-agent system is used for task solution. Elements of bond graphing are used to describe the intelligent control of power networks. The algorithm is workable as regular maintenance as for emergencies. The workability of the algorithm is checked by an abstract numerical example. The model and the algorithm is realized in computer experiment for intelligent agent system. As an object, Riga electric network is selected. All data for computer experiment coincide with the real object data. As an example of electrical energy consumers Riga tram system is selected. Experiment show the possibility of energy saving by using of intelligent agent-based control and coordination for mechatronics system of Riga trams.