NDLI: Development of an Object-Oriented Service Restoration Expert System With Load Variations

Content Provider	IEEE Xplore Digital Library
Author	Men-Shen Tsai
Copyright Year	1969
Abstract	Distribution restoration process is done by switching actions of sectionalizing and tie switches on the feeders. The state of these switches can be determined by applying logical reasoning. Thus, knowledge-based systems are ideal tools to accomplish the task. In this paper, an expert system is developed by utilizing its fast reasoning mechanism and object-oriented features. The feeder component and configuration data are organized in a hierarchy way using the object-oriented programming paradigm. On the other hand, facts are used for representing the information during inference process. Service restoration procedure proposed in this paper takes load variation into consideration. The simulation results indicate that more solutions can be obtained for service restoration problems when load variation is considered. Another unique property of the proposed system is that it is capable of proposing multiple restoration plans. Multiple plans are important for the system operators since the best solution proposed by the system may not be workable in reality. By proposing multiple plans, the system operator can choose a plan which is more suitable to the real situation for service restoration problems.
Sponsorship	IEEE Power Engineering Society
Starting Page	219
Ending Page	225
Page Count	7
File Size	274659
File Format	PDF
ISSN	08858950
Volume Number	23
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-02-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Expert systems Load management Power system restoration Switches Circuit faults Engines Knowledge based systems Object oriented programming Object oriented modeling Power distribution power distribution planning object-oriented programming
Content Type	Text
Resource Type	Article
Subject	Energy Engineering and Power Technology Electrical and Electronic Engineering

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