Enhancement of anomalous data mining in power system predicting-aided state estimation

An approach for predicting-aided state estimation including bad data mining in a power system is proposed in this paper. In the method, the sliding surface-enhanced fuzzy control and optimal cluster numbers estimation techniques are both employed for the enhancement of state estimation. This proposed approach has been applied to test systems. Test results reveal the feasibility of the method for the applications considered.