The Fault Location Approach for Grid Network Base on MAS of Rough Set Theory

With distributed power access, Network reconfiguration and other technology, Traditional power system fault diagnosis and fault location of large-scale grid has some limitations. This paper proposes a fault location method for Smart grid base on MAS of Rough Set theory. To solve the issues that the fault diagnosis decision-making needs load computational capacity and flexible network structure mutations. The method uses the group decision-making feature of Agent; divides the network area into the associated regions by the matrix for described the network area, then using rough set theory to a small area fault location in the node sets. The method combines the characteristics of a distributed network that the parallel processing of MAS and easy to expand and modify. Fault location by it has better flexibility and faster reaction speed.