A Design Method for Power Grid Fault Diagnosis Model Based on Humoral Immunity Principle

doi:10.3969/j.issn.1000-7229.2017.07.016

Abstract

Abstract: ABSTRACT： According to the uncertainty of fault information in the power grid fault diagnosis, this paper draws lessons from the humoral immune response mechanism addressing the problem. Firstly, we establish the relationship between the process of the humoral immune response and the basic amount of the power grid fault diagnosis. Secondly, we construct a fault diagnosis model based on humoral immune response mechanism via simulating the mechanism and structure of humoral immunity resisting the invasion of antigens. The proposed model has a higher fault-tolerant ability, which can not only detect known faults according to the prior knowledge, but also judge unknown faults through the continuous learning function of the fault diagnosis system. Finally, the results of the test cases of the fault diagnosis show that the proposed model is feasible and efficient.

Key words: fault diagnosis, alarm information, humoral immunity, learning evolution

CLC Number:

TM 73

WANG Shoupeng, ZHAO Dongmei . A Design Method for Power Grid Fault Diagnosis Model Based on Humoral Immunity Principle

[J]. Electric Power Construction, 2017, 38(7): 131-.

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