Title :
Intelligent decision support for protection scheme design associated with electrical transmission systems
Author :
West, G.M. ; Strachan, S.M. ; Moyes, A. ; McDonald, J.R.
Author_Institution :
Centre for Electr. Power Eng., Strathclyde Univ., Glasgow, UK
Abstract :
This paper focuses on collaborative research activities conducted with two major UK utilities, describing the development of a web-based, Design Engineering Knowledge Application System (DEKAS). This system offers automatic intelligent decision support to engineers responsible for the design and application of protection schemes associated with EHV transmission power systems. A web-based environment is promoted as the most effective medium for company-wide dissemination of the information and, knowledge captured within DEKAS. The paper also describes the integration of DEKAS with existing company data repositories in order to provide a single storage and retrieval mechanism for all pertinent information/documentation. Following the identification of ´what´, ´where´ and ´when´ information and data are utilised within the overall protection design process, the paper then concentrates on ´how´ better use can be made of existing engineering resources, through the development of an intelligent decision support facility, utilising case-base reasoning (CBR) techniques
Keywords :
case-based reasoning; decision support systems; information resources; power engineering computing; power transmission protection; DEKAS; Design Engineering Knowledge Application System; EHV transmission power systems protection; UK utilities; automatic intelligent decision support; case-base reasoning techniques; collaborative research; intelligent decision support facility; web-based system; Collaboration; Data engineering; Design engineering; Documentation; Information retrieval; Intelligent systems; Knowledge engineering; Power engineering and energy; Power system protection; Process design;
Conference_Titel :
Power Industry Computer Applications, 2001. PICA 2001. Innovative Computing for Power - Electric Energy Meets the Market. 22nd IEEE Power Engineering Society International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-6681-6
DOI :
10.1109/PICA.2001.932334