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【期刊论文】Intelligent Automatic Generation of Graphical One-line Substation Arrangement Diagrams
朱永利, Zhu Yongli, Member, IEEE, and O. P. Malik, Fellow
,-0001,():
-1年11月30日
The conventional graph editing of one-line substation diagrams for a graphical user interface is time-consuming and needs considerable effort. A method for automatic generation of the substation diagrams is described in this paper. In this method, artificial intelligence (AI) frames are adopted for the representation of substations and their network, some expert rules on the layout and drawing of substation buses are accumulated and summarized, and AI rule-based inference techniques are used for branch analysis on different types of buses and drawing of the buses and their branches. A vertical coordinates conversion relationship is obtained to narrow the testing of substation diagram components’ vertical layout. The method has been programmed and applied to two power system analysis programs, one of which is undergoing field test in a transmission system for real time fault diagnosis in northern China.
Artificial intelligence,, automatic graph generation,, graphical user interface,, knowledge based system.,
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朱永利, T.S.Sidhu
,-0001,():
-1年11月30日
介绍了一种利用人工智能的知识表示、搜索和推理技术进行电网自动结线分析的新方法,利用此方法研制的电网自动结线分析器已被成功地应用于若干实际电网的在线和离线分析计算软件中。同传统方法相比,此方法具有算法简便,易于编程实现,可避免传统方法在开关两侧的大量编号,电网拓扑数据便于维护等优点,母线的节点分析采用规则,而不是传统的复杂的搜索方法。
电网结线分析,, 人工智能,, 知识表示,, 基于规则的系统
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