基于框架理论的电力网络接线方式识别和定义

在现有的一些电力系统高级分析应用软件中,对于电力网络接线方式,往往采取增加图元属性列的方式,人工输入保存。若采用这种方法,当网络图发生变化如变电站扩建时,软件系统中原来保存的接线方式信息不能随之变化,这样就会造成软件运行错误。本文采用全新的方法,使用人工智能进行电力网络接线方式的识别和定义,可以避免这种情况的发生。当网络图发生变化时,软件系统可以自动识别出变化后的接线方式,这样可以提高软件整体的可维护性和通用性。本文根据专家系统的思想,建立了接线方式智能识别和定义系统的软件结构,提出了基于框架理论的电力网络接线方式智能识别和定义的方法,并通过实例进行了分析。

A Method for Identifying and Defining Connection Patterns of Electric Networks Based on Frame Theory

In most of the advanced electric analyzing software systems,the connection pattern of an electric network is kept as one of the attributes of diagram elements.And when the network is changed,the data of connection pattern do not change accordingly,which causes errors in the software system.This problem can be well solved,and the maintainability and generality of the software systems can be greatly improved by identifying and defining the connection patterns with the method of artificial intelligence.In this dissertation,the structure of the software system to identify and define connection patterns are built,in accordance with the structure of expert system,a method to construct this system is given based on frame theory,and referring to the existing connection patterns in electric systems,some examples in implementing this scheme are given.