Multi-agent System for Blackout Prevention by Means of Computer Simulations
The paper presents a dynamic simulation model of power flows in a power distribution network using communication in multi-agent systems. The model is based on local interchange of knowledge between autonomous agents representing the network elements. The agents use KQML as an inter-agent knowledge interchange language. The main purpose of the work is to develop a scalable distributed simulation model, flexible enough for incorporation of intelligent control and condition-based management of a power distribution network. This model is designed to optimize the electric distribution networks and prevent failures in the power grid (blackout). The network’s reliability is affected by the parameters of connected power sources (both traditional and renewable sources), but also by the unexpected failures. The simulation is using the parameters calculated from the real database of electric distribution network failures.
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