A Multi-fault rush repair strategy for distribution systems based on game theory of multi-agent

When the multi-fault occured in distribution systems, the scheduling scheme of repair´s resource plays an important role in the rush repairs and restoration of power supply. However, it is difficult to set a reliable restoration scheme quickly only by experience of dispatchers, because the multi-fault restoration involves many factors. Therefore, this paper discusses how to make a scientific and reasonable restoration scheme, and a multi-fault distribution system repairment model is established according to the revenue function. Composed of analysis and decision Agent (ADA), some rush-repair team Agents (RTA) and the supervisory and paradigm Agent (SPA), the multi-agent system is set up. And the model of game theory is determined by the complexity of the fault location to recover. The optimal strategy of multifault rush repair in distribution systems is obtained by looking for the Nash equilibrium point. Finally, the example shows that we could get the repair strategy efficiently and reduce the outage loss.