An artificial immune system with continuous-learning for voltage disturbance diagnosis in electrical distribution systems

作者：

Highlights：

• We propose a new artificial immune algorithm with continuous-learning.

• This means to learn without reinitialization when occur new disturbances.

• Application to voltage disturbance diagnosis in electrical distribution systems.

• The results show robustness, precision and efficiency.

摘要

•We propose a new artificial immune algorithm with continuous-learning.•This means to learn without reinitialization when occur new disturbances.•Application to voltage disturbance diagnosis in electrical distribution systems.•The results show robustness, precision and efficiency.

论文关键词：Diagnosis,Voltage disturbances,Artificial immune systems,Negative selection algorithm,Clonal selection algorithm,Continuous-learning,Electrical distribution systems

论文评审过程：Available online 15 March 2016, Version of Record 26 March 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.03.010