Abstract
The traditional substation microcomputer anti-misoperation alarm system has some problems, such as too long judgment time and low alarm accuracy. Therefore, this paper designs a kind of substation microcomputer anti-misoperation alarm system based on intelligent Agent. BP learning algorithm is used to judge the wrong operation of power station microcomputer and determine the error coefficient of substation. Through intelligent agent technology, the substation maloperation alarm and Substation Microcomputer anti maloperation alarm system are designed. In order to verify the effectiveness of the design system, a comparative experiment is designed. The results show that the designed system has high processing efficiency and high alarm accuracy.
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