Power System Operating Point State Assessment Based on Rough Set and Neural Network

To improve safety and reliability of power system,this paper proposes a condition assessment method for power system operation points based on rough set and neural network.First,the SOM neural network is used for discretization of power data,and the decision-making rules table of knowledge reduction is generated by the rough reduction algorithm.Finally,the power system state after the reduction process is assessed by the last RBF neural network Exemplary test results show that the proposed method is reasonable and effective,and is able to meet the power system state assessment requirements of the operator.