| Abstract: |  This thesis deals with appliances of multi-agent technology for the control of small energy networks. In such kind of network energy consumption varies significantly during the day, because of the small number of participants. It is reasonably that the price will also change according to the actual generators load. Based on the multi-agents technology and JADE framework we have designed simulation and control program for such electrical grid. In the simulated community there were four small power plants (one gas, two wind and one solar) and eleven homes. Each object had been simulated by individual agent, what corresponds to the distributed nature of the electrical networks. For determining of optimal price for energy we have used a principle
of commodity exchange, which had been realized by the specific agent. Results of our simulation were expected – the result energy price was depending on the availability of renewable energy sources, which was changing based on the weather.
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