An artificial neural network-based expert system for network topological error identification

An artificial neural network (ANN)-based expert system for network topological error identification is proposed in this paper. A concept of artificial neural network management system (ANNMS) is also introduced in the paper. Network topological error identification is not only a hard problem but also a key problem in real time state estimation. How to acquire and use human expert´s knowledge is the key point to solve the identification problem. In the expert system described in this paper, human expert´s knowledge is stored in ANNs, and the expert system assorts these neural networks with power system via ANNMS. The expert system can feasibly deal with all kinds of practical network via ANNs