A KNOWLEDGE-BASED APPROACH TO OPTIMIZE SWITCHING IN SUBSTATIONS

被引：16

作者：

ZHANG, ZZ

HOPE, GS

MALIK, OP

机构：

[1] Dept. of Electrical Engineering, University of Calgary

来源：

IEEE TRANSACTIONS ON POWER DELIVERY | 1990年 / 5卷 / 01期

关键词：

Artificial Intelligence; Electrical Substation; Expert Systems; Power Systems;

D O I：

10.1109/61.107261

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Automatic sequence switching has been an important pursuit in the field of substation automation. This paper presents an intelligent approach to optimize switching sequences in electric substations. This paper starts with a presentation of the optimal sequence switching problem. It then suggests a knowledge-based model of a substation switch network organized in a tri-level hierarchical structure, and a set of basic techniques suitable for the general task of network re-organization. An intelligent optimal sequence switching strategy for substations based on modelling techniques is presented. An expert system in PROLOG used to formalize the sequence of switching operations and an application in substations is described. © 1989 IEEE

引用

页码：103 / 109

页数：7

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